Next Article in Journal
Studies of a Rotary–Centrifugal Grain Grinder Using a Multifactorial Experimental Design Method
Next Article in Special Issue
The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data
Previous Article in Journal
A Study on Emissions from Drayage Trucks in the Port City-Focusing on the Port of Incheon
Previous Article in Special Issue
Assessing Sidewalk and Corridor Walkability in Developing Countries
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach

by
Jagienka Rześny-Cieplińska
1,* and
Agnieszka Szmelter-Jarosz
2
1
Department of Finance and Management, WSB University in Gdansk, 80-266 Gdansk, Poland
2
Faculty of Economics, University of Gdansk, 81-824 Sopot, Poland
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(19), 5361; https://doi.org/10.3390/su11195361
Submission received: 8 July 2019 / Revised: 23 September 2019 / Accepted: 24 September 2019 / Published: 27 September 2019
(This article belongs to the Special Issue Future Cities: Urban Planning, Infrastructure and Sustainability)

Abstract

:
This article presents the assessment results for crowd logistics (CL) solutions from the perspective of the needs of different stakeholders. The uniqueness of this study lies in entering these needs in the implementation of the three spheres of sustainable development in cities (social, economic, and environmental). The purpose of this publication is to present the benchmark solutions for the CL area, helping to adjust the business model and market offer of other providers to the needs of different groups of stakeholders. The reason for such valuation is the fast-paced sharing economy development in the city logistics area, as well as in the courier activity. For this study, the AHP (analytic hierarchy process) method was applied in order to develop the proposed evaluation tool of the CL initiatives. The evaluation criteria (the needs of particular groups of respondents) are derived from document-based data analysis and the primary data for the model are derived from information provided by service providers. The list of the best solutions is made for indicating benchmark brands on the market. The recommendations for managers were drawn on how to adjust solutions to the stakeholders’ needs.

1. Introduction

About 52% of the population all over the world is city inhabitants, and it is expected that by 2050, this number will reach 67% [1,2]. Very fast urban growth is, at the same moment, a challenge and the opportunity for decision-makers in the city management area.
The urbanization and population growth, the fast development of e-commerce and, moreover, the growing expectations of the customers require introducing new, innovative solutions to ensure effective, social-friendly, and sustainable transportation within the cities [1,3]. These facts influence the necessity of making systemic changes according to the integration in the transport services of passengers and cargoes carried out within metropolitan areas. Urban mobility contributes to achieving the socioeconomic objectives of cities, but also impacts on the quality of life in cities, including the level of pollution and congestion [4]. Transport in cities has an evident impact on the environment [5]. According to the European Commission’s data, it emits nearly 40% of the European Union’s total emissions of carbon dioxide [6]. At present, 67% of passenger transport has been taking place in urban areas, and by 2050, the number of kilometers traveled in urban areas will triple [7]. Similar trends can be observed in freight transport.
All transport operations within the cities cause problems that are related to transport policy, customer service, and above all, traffic flows, which are considered to have a negative economic impact [8,9]. In response to these problems, a number of European initiatives in the area of city logistics were introduced [10]. The lack of a holistic view on city logistics problems (describing the city as a whole logistics system with many subsystems and actors) relates to the flows of both people and goods. The popular and improper approach focuses on logistics in individual areas (e.g., only transport or building new settlements) without considering their impact on others and on the entire system. The problem is, the majority of them focuses on single areas (without analyzing tradeoffs with other areas) such as freight or passenger transport [3,9,11,12], instead of focusing on shared passenger and freight transportation practices [9]. They are widely described in European Commission reports with regard to SUMPs—sustainable urban mobility plans. In those documents, different areas of applying sustainable transport systems are described. The sharing economy solutions include two main groups—Mobility-as-a-Service (MaaS) for people mobility and crowd logistics (CL) for freight transport [13,14].
There are two vital gaps in understanding the purpose of the CL solutions, their mission, and their usefulness for different stakeholders’ groups, justifying this research. The first one, the conceptualization gap, concerns the weak consistency of the various stakeholders’ analysis in the literature about CL, which brings the conclusion that it is unclear and underdeveloped. There is a literature and knowledge gap in the mentioned research subject, because there is no paper about the benchmark solutions addressing the needs of different groups of stakeholders and the guidelines for the construction of a market offer to match one product to different needs. The second gap, the construction gap, regards no well-established approach to building a set of variables referring to stakeholders and current trends in managing urban areas, such as the application of sustainable development. In this research, the classic, well-known, and widely used AHP method was implemented to assess the identified CL solutions. Understanding the needs of different groups of stakeholders helps with defining the well-suited service portfolio to address them by one provider, and even one solution offering different types of services.
Taking into consideration the above-mentioned arguments, the authors raised the following research questions:
RQ1: What are the needs and priorities of different groups of CL stakeholders?
RQ2: What are the benchmark CL solutions addressing the needs of those groups?
Given that, the purpose of this article is twofold: first, to conceptualize the way of assessing CL solutions according to sustainable development areas and stakeholders’ needs, and second, to present the empirical investigation of existing CL solutions. The structure of the article is given as follows. First, the literature review is conducted to present the main characteristics of CL solutions and stakeholders of an urban transport system. Then, the research approach, procedure, and method are described. The importance of criteria for different stakeholders is presented, followed by the research results containing the full calculation and analysis of the chosen CL solutions. The next part describes the research results and presents the benchmark CL brands, their characteristics, and their strong and weak points. This section contains also the recommendations for managers, including what characteristics should be improved to correspond with the needs of particular stakeholder groups. The last part of the article contains the conclusion and, moreover, indicates future research directions.

2. Literature Review

2.1. Crowdsourcing in Logistics

The term ‘crowdsourcing’ comes from two notions ‘crowd’ and ‘outsourcing’ [15]. It relates to the global sharing economy that has changed a lot the way of using different goods. The sharing economy is a trend involving the sharing, lending, and exchanging of products and services [16,17,18]. Users get temporary access to resources, services, or competences of other units when their capacity is not fully used [19]. In fact, the concept of sharing is not new. According to the literature [20,21], Charles Babbage, an English mathematician and engineer who lived in the 19th century, hired the crowd (actually the contractors) to help him with the astronomical computing of the tables that could be used for stellar navigation. Babbage has been famous for being the ‘father of the computer’. In addition, he also developed several key ideas of crowdsourcing (macrotasking).
Although the concept of crowd sharing is not new, the current sharing economy boom is possible thanks to the advancement of ICT (information and communication technology). Thus, nowadays, the sharing economy is implemented primarily through online platforms [18,22,23]. This model is gaining popularity, and its main purpose is engaging a wide range of people (mostly using innovative technologies) in a given project [24]. This approach has a huge potential to rise, but the development of various initiatives within crowdsourcing is dependent on the growth of modern technologies [25,26,27,28,29]. As a consequence of the sharing economy development [30,31], new models and solutions that were based on access to assets rather than ownership have emerged [32,33]. The sharing economy can be divided into three categories [34]:
the recirculation of assets, having its origin in an eBay platform were the recirculation of goods is taking place, but nowadays, many similar online exchange platforms operate on the Internet,
increased use of goods, which refers to platforms thanks to which assets are being used more intensively. The first example of such initiatives was Zipcar—a company offering car rentals for hours and even minutes,
sharing of assets, concerning sharing goods dedicated to production, not consumption. The best example of such solution are networks of co-operators, operating for many years all over the world.
The sharing economy is treated as an umbrella term to collaborative consumption [19,23,35], crowdsourcing [15,36], and asset-based consumption [18,30]. It contains new abilities or preferences of the users to rent or borrow goods or services rather than own or buy them [35,37]. In the literature, crowdsourcing was popularized by Howe [36] and, according to his approach, is a kind of an outsourcing strategy in which a company places an open call on the crowd to perform a task.
Along with the technological progress in the digital sphere, the development and adaptation to new trends in urban areas emerge [38]. Cities begin to operate in accordance with the idea of cities 4.0, based on innovations in digital techniques, especially the automatization of processes and operations [18]. The most common examples of the sharing economy applied in cities are the energy mix, offices, parking sites, warehouses, flows of goods, knowledge, and data [39]. However, one of the most important areas is mobility, so amongst the various types of crowdsourcing initiatives, many of them are related to logistics. According to the current research [30,35,40] in logistics, five types of crowdsourcing initiatives occur [16]:
peer-to-peer logistics,
open logistics,
business logistics,
logistics-as-a-service (LaaS), and
CL.
Peer-to-peer logistics is already proven to be an inventive and efficient way to deliver goods around the world [41,42,43]. In this solution, the individuals share or exchange goods and services by organizing essential activities in a customer-to-customer (C2C) channel [35]. Peer-to-peer logistics should provide the support to the sharing consumption initiative, while being organized and managed by peers. The main function of the web platform is just informative and controlling, because the users interact directly with each other without intermediaries [18]. What needs emphasizing is that buyers can get what they need quickly, and travelers can also get additional cash for delivering the goods [44]. Well-known peer-to-peer logistics practices are: Drivy (ensuring access to a car without having a car) or Leboncoin (service for placing private sales announcements) [43].
Business logistics can be treated as a primary, traditional solution within crowdsourcing initiatives in a business-to-customer channel (B2C) [45]. Managing of the physical flows is made centrally by the platform promoting the collaboration in order to organize the exchange between users. Therefore, the platform’s role is to enable and to support exchanges between peers [46,47]. In contrast to the previous solution, the platform’s role is physical (logistics platform as well as informational—Internet platform—intermediary) [35,48]. To conclude, the aim of the business logistics platform is to provide the logistics solutions necessary for the exchange, and the orientation of the flow is extended to the consumer-to-business-to-consumer type (C2B2C). Vestiare Collective—a community-driven online resale site dedicated to luxury fashion—is an example of such a solution.
Open logistics is related to the solutions that enable users to have control of logistics choices related to the goods’ supply and distribution [46]. Such solutions were primarily developed in the food industry by agro-food manufacturers as well as retailers [49]. The logistics role of the platform is to provide consumers with a logistics infrastructure to take control of the good’s distribution, and the orientation of the flow is from business to consumers (B2C). An example of open logistics is Food Assembly (an American initiative), an online market where farmers sell their products directly to consumers.
The LaaS business model is used to develop models and methods that would enable the self-configuration of resources in sustainable logistics decision making [50]. LaaS providers employ logistics professionals to manage an enterprise’s transportation network and inbound and outbound logistics in the whole channel—from production facilities to warehouses, retailers, and users [48]. Within this concept, different services are taken into consideration: supply chain transparency, robust logistics planning, and demand collaboration [40].
The main scope of logistics is to deliver goods and information to the right place at the right time. The aims of CL may contribute toward these objectives [21,28]. CL is alternatively called crowd-sourced delivery, crowd shipping, or collaborative delivery [9,51]. In all previous types of crowdsourcing in logistics, the role of logistics was to support activities. In CL, logistics is the proper purpose of the creation of the sharing initiative [46]. Within CL initiatives, the platform is used to sell logistics services provided by individuals, and its role is essential, because it enables individuals’ logistics resources to be shared by optimizing their use at the same moment [35,51].
The CL concept comes from the sharing economy or resource sharing, regarding exchanging or sharing resources without owning the goods [52]. Its main scope is to improve the efficiency as well as the sustainability of the manners according to which goods are moved, supplied, stored, and used across the world by applying the concepts from Internet data transfer to real-world shipping processes. According to quite a comprehensive approach, several conditions within the CL concept have to be fulfilled: proper infrastructure, free capacity, compensation, crowd network, and voluntary [53]. In spite of numerous benefits of CL initiatives—financial, environmental, or social ones [34,47]—the risks such as social (unsuitable society, labor risk) as well as quality (unequally service quality) [47] and sustainability (the rebound effect can higher the emissions) [34] aspects are hard to ignore.
The most complex definition of CL term states that “CL designates the outsourcing of logistics services to a mass of actors, whereby the coordination is supported by technical infrastructure” [52]. The main objective of CL—according to this approach—is to achieve the economic benefits for all engaged stakeholders [52,54]. CL initiatives can be applied within different crowd-sourced services in which customers or institutional users place a request for a good delivery service on an ICT platform that is going to be fulfilled by one of the drivers registered in the system [53,55]. The most common services within crowd-sourced initiatives are door-to-door and store-to-door. Door-to-door are a kind of service wherein drivers announce trips they plan, and shippers post requests for goods they would like to pick up and deliver. Store-to-door services focus on the B2C channel, offering same-day delivery using crowdsourced delivery as well as courier services [1,3].
It is very important to indicate that pure CL activity should use existing flows—it is one of the necessary conditions of this phenomenon [11]. If existing flows are used for services fulfilment, this will contribute to more sustainable city logistics [56]. That is why various integrated freight and passenger transportation initiatives are rising. So, from a sustainable point of view, cargo-hitching services that extend crowdsourced deliveries by exploiting free capacity in public transport—buses, trams, metro, and taxi services—are even better. A big challenge in cargo-hitching services is the coordination and synchronization of flows; in addition, some safety issues related to the operationalization of transport may be problematic [57]. Consequently, in spite of possibility of playing a significant role in efficient deliveries, only a limited number of such initiatives have been undertaken, or research efforts exploring these areas have been reported in the publications [57].

2.2. Stakeholders in the Urban Transport System

Congestion and environmental problems caused by passenger and freight transport may be observed in many European cities. For many years, such problems were mainly discussed from a narrow perspective of private stakeholders [58]. Due to a lack of holistic point of view, all parties involved in the urban transport system were treated as a whole [59,60]. In general, the urban transport system can be defined as the set of the transportation elements—public as well as private—that contains all issues regarding people and goods mobility within the city area: infrastructure, management, means of transport, entities, service providers, and users [7,13,61]. The cooperation of different actors in the urban management process in order to improve flows within the urban areas is essential. Thus, there is a strong need to identify all stakeholders within the urban transport system. Stakeholders can be generally described as those who are interested in the decision to be made, even if they are not the final decision makers or they do not play an official role in the decision-making process [39,62,63,64,65,66]. The stakeholders referring to the private and public sphere can be divided into several main groups [67]:
authorities,
public transport (PT) operators,
shippers,
freight carriers,
transport operators,
residents, and
other traffic participants.
Within the authorities group, the following stakeholders can be distinguished [23,59]: the local government, the national government and, even the European Commission. The local authorities focus on the attractiveness of a city [55,68]. This stakeholders group is mainly interested in the reduction of pollution and congestion, and also in increasing the quality of life in cities as well as the safety of road traffic [56]. From this point of view, urban freight transport (UFT) can be considered as the major factor contributing to pollution and nuisance [9,69]. On the other hand, the local authorities want to implement an effective and efficient transport system [70,71,72]. Therefore, their main scope should focus on resolving problems amongst the other actors engaged in the urban transport system [73,74]. National authorities are usually rather only marginally involved in UFT issues [75]. However, their interests (such as reducing externalities at a regional or national level) affect many UFT operations, as well as local authority policies.
PT operators are most often owned by the municipalities but specifically, it depends on the model of the organisation of the PT adopted in the urban transport system [76]. That is why in the most common models, they have options of performing the services themselves or contracting out the service to the outer private companies. In practice, it means that the PT services may be provided by a mixture of public- and private-owned companies [58].
Shippers generate freight demand, so their role is organizing cargo transport from providers to receivers. They operate in the private sphere [30]. The main activities of shippers are related to sending goods between companies or persons, but often are not located in the city—consequently, they do not feel responsible for UFT issues [77]. Their main scopes focus on maximizing the levels of service in terms of the cost and reliability of transport. Shippers can be owners of the freight, or they can be just responsible for hiring a carrier [17,59]. Freight carriers usually aim at minimizing their costs by maximizing the efficiency of their deliveries and shipping, and they are supposed to provide a high level of service at a low cost [68].
Transport operators are the stakeholders carrying out UFT, but in many cases, they are restricted by boundaries set by others—for example, designated time slots to make the deliveries, opening hours of stores, or loading and unloading bays’ accessibility. It is worth noting that transport operators are most often active in a larger area than the city itself [63].
City dwellers and other users are the people living, working, and shopping within the city area. Inhabitants dramatically experience nuisance and other externalities by UFT as noise, smell, or vibrations, so they are most interested in sustainable urban transport systems [68]. The group of other traffic participants (users) consists of road users such as pedestrians or cyclists sharing the same infrastructure as freight transport vehicles, especially within the urban area, and of passenger vehicles that are blocked by lorries involved in loading and unloading at the kerbsides [63]. Visitors and tourists can also be included in this group as well. They are also affected by UFT only to a lesser extent. This group of stakeholders is mostly interested in having an attractive city to visit even for a whilst, so for them, minimizing nuisance by UFT is essential [66].
Actually, various stakeholders operating in cities interact, compete, and cooperate, which can be characterized by heterogeneous scopes (see Table 1) [11,68]. Regarding the sustainability context of the urban transport system, authorities represent environmental objectives—according to European Union (EU) transport policy issues—as well—but social ones at a lower level—in striving to provide good quality of life and availability of the PT services to city residents [5,7,13,61].
PT operators most often operate as public entities, being controlled by the authorities, and generally, their activity is based on subsidies from the municipality budget. Consequently, their objectives are closest to social sustainability [5,7,13,61].
The stakeholders group of shippers, freight carriers, and transport operators represents private capital, and thus is guided by the pursuit of profit. Hence, the objectives of these stakeholders can be placed within frame of the economic sustainability [7,61,77].
The intention of residents and other urban transport users is a good quality of life and the best availability of PT, which can be placed within the area of social sustainability. On the other hand, the environmental issues (focusing on externalities’ reduction) gain their attention over a long-term perspective [5,7,13,61].

3. Methodology

3.1. Research Procedure

The main framework of this study is based on the well-known definition of sustainability [76,78], containing its three dimensions: social, economic, and environmental [13,37,52,61,79]. The research procedure used in this research was based on few steps (see Figure 1).
Firstly, the Denyer and Tranfield approach [80] was used to define the literature search strategy. This is approach designed for social sciences, which is mainly based on the set of steps that need to be done in order to compose a reliable literature database. It requires the identification of crucial keywords and other conditions helpful in searching the literature sources. For this purpose, the Boolean logic was a support to this approach to identify and later refine the literature base. The search words ‘crowd’ and ‘logistics’ as keywords and ‘sustainability’ or ‘sustainable’ as abstracts were used to search for literature sources in EBSCOhost, Science Direct, SCOPUS, Springer, and DOAJ and then, the Mendeley Desktop tool was used for eliminating the duplicates and defining the literature database for further analysis. According to the chosen approach, after reducing the duplicates, the content of abstract was analyzed, and some literature items not fitting to the scope of this research were eliminated. The final literature base about the CL solutions came to 69 items. It was helpful later to draw the list of CL service providers. The last step in this analysis was to find the variables and stakeholder analysis approaches to define the basic assumptions for this study. This allowed establishing the list of variables (criteria) and stakeholders. Finally, 20 criteria were identified (see Table 2), including six environmental (1–6), seven social (7–13) and seven economic (14–20).
The literature review results registered in the report sheet were focused on assigning the stakeholders’ needs to the identified criteria (previously presented in Table 1). In this regard, only 15 literature items were helpful [9,11,16,20,29,34,52,53,54,56,61,63,64,66,70] (see Table 3, Table 4 and Table 5) to define the relations between the criteria according to the needs of different stakeholders groups.
Then, the criteria matrix was prepared (see Section 3.2). It was the result of evaluating the importance of particular criteria for the identified groups of stakeholders according to Table 2, Table 3, Table 4 and Table 5 and the calculations within the AHP method.
The list of the CL solutions worldwide was made according to the previously mentioned base of the literature sources and using the search phrase ‘crowd logistics’ in the internet search engine. There were a few literature items that were the most valuable for preparing the initial list of CL providers [11,21,30,54,59,81]. Finally, 70 initiatives were identified. In the next step, CL brands were found in the Internet sources (their websites) to find their main service profile and actual characteristics corresponding to the 20 criteria for environmental, social, and economic sustainability (their characteristics change very quickly, so there was a need to use up-to-date data). The identified CL solutions were very diverse; many of them were not active (there is a small success factor regarding the global market for CL solutions), and among them food-delivery services dominated. Therefore, to meet the requirements of the definition of the crowd logistics presented in Section 2, there was a need to refine this initial list. For the purpose of the further analysis, the inclusion criteria for the further analysis were established: being an active company, providing only freight transport solutions, small area of activity (mainly urban and suburban), offering providing services in the C2C channel, offering not only food deliveries, but also deliveries of other kinds of parcels/goods. Finally, 24 solutions were established as those presenting all of the needed characteristics (see Appendix A, Table A1). With the use of the basic information from their home webpages (terms of use, service portfolio, mission statement, other), and according to the rules of the AHP method, the main database was made (see Appendix A, Table A1 and Table A2). For the assessment for the variables 2, 3–8, and 10–13, the scale of prioritization was focused on having the needed characteristic or not, so the probable rankings were 1 (when compared solutions had the same characteristic), 3 (when the first had the characteristic the second did not) or 1/3 (when the first solution did not have the characteristic, but the second had). For the variables 1, 9, and 14–20, the full AHP prioritization scale (1–9; 1/9–1) was used to assess the size of the differences between compared CL solutions.

3.2. The AHP Method

The study aims to build a model for assessing the freight transport CL solutions according to real requirements of the different stakeholders groups that were identified earlier [39,58,59,62,66]. The scope of those business activities should include the city center, other city districts, and the suburban zone. According to Table 1, three groups of stakeholders with similar requirements and needs have been identified. The first group consists of local authorities, residents, and other traffic participants (e.g., tourists, people on a business trip), and remains focused on environmental and social issues. The second group is a business-oriented group (shippers and freight operators), striving for profit and increasing market share. The third group consists of only one stakeholder—the PT operator—the purpose of which is to meet the needs of residents, so the objectives are mostly social.
The complex character of the sustainability criteria and characteristics of the stakeholders (the number of variables and kinds of relations between them; the same situation in the case of the stakeholders) necessitated the choice of a method that allows the combination of quantitative and qualitative data whilst maintaining a multiple criteria approach to the analysis of individual market solutions. The best solution, also widely used in crowdsourcing and CL research, is the analytical hierarchy process, which was introduced to social sciences by R.W. Saaty [82]. This approach is usually used to evaluate business activity in logistics—for example, in the supplier selection [83]. The AHP method was also used in the identified literature to analyze the needs of the CL stakeholders and assess the particular market service providers [65], but this is not the most popular approach. The most popular are interviews [9,54,58,65] and surveys [3,22,55,58,63,84].
Whilst preparing the article, a classical version of AHP was implemented. First, the set of criteria was identified and analyzed. Criteria were prioritized for all three separate stakeholder groups (see Table 6). For local authorities and all types of users, safety was the most important variable when using CL solutions. It is a very capacious concept, including the safety of transaction, the safety of the vehicle, the safety of payment, avoiding crime, and the risk of road accidents. For service providers, the most crucial was the attractive revenue model, which is an obvious result. PT operators care about safety, similar to the first stakeholder group. This part of the analysis allowed the answer to research question 1 (RQ1).
According to the rules of the AHP method, calculating the final matrix requires two matrices: first for the criteria (see Table 6), and second for the basic (and then in the next one, normalized) values of the assessed solutions. The second matrix was made from the initial table for measuring the CL brands (see Appendix A, Table A1 and Table A2). If two solutions had the same level of the criterion value, the relation between them received the value of 1, if one first noted a higher variable level, it received the value of 3, 5, 7, or 9, regarding the difference between levels of the two compared solutions. Then, the second solution compared to the first one received respectively the value of 1/3, 1/5, 1/7, or 1/9. In the next step, the solution assessment matrix was normalized and multiplied by the criteria matrix to form the final matrix (see Table 7).

4. Research Results

A relatively small number of the identified and analyzed CL solutions represented features related to the environmental dimension of sustainable development, which was quite surprising given that in almost every CL definition, the environmental dimension exists, and in many CL solutions, the marketing materials were concentrating on this matter as a main priority. What was worth noting is that the scores in this group for different environmental sustainability features (criteria) were very diverse. The most important in this group was the reduction of CO2 emissions, mainly by allowing the use of low-emission cars, electric cars, motorcycles, scooters, and above all, bicycles, to be serviced by clients. This was not surprising, given that most of the solutions for urban logistics are focused on CO2 emissions, which is the main feature of every urban logistics solution deemed “sustainable”. Attention was also paid to the need to control the filling level of the means of transport during route implementation (variable efficient use of loading space, very correlated with the level of empty runs), as well as the way of using means of transport. In most cases, the means of transport should (according to the policy of the CL provider) belong to a private person, and it was less likely that the CL provider provided its own fleet of vehicles. However, there were CL solutions based on its own fleet model, and providers used this feature to ensure the reliability of services, especially in the same-day delivery model. The least represented feature was the elimination of waste and care for the reduction of congestion and traffic (e.g., through the use of bicycles with special travel routes and infrastructure), which is one of the most important external costs of transport, and is indicated in almost every transport costs paper.
CL solutions place great emphasis on the social dimension, especially on the building and integration of the local community (this criterion was represented by all of the 24 analyzed solutions). Those local relationships should be developed to ensure the market success of the solution. Users can build the community, in which the same person is a service provider and consumer. That is why most CL solutions met the basic definitional assumptions of simplicity and building trust, a traceable and transparent system, and safety (which is the most crucial for two stakeholders groups—public transport operators and authorities, residents, and other users). In addition, most CLs were adapted to the local operating conditions—the law, spatial distribution, ethics and hierarchy of values in a given local community, taking into account the specificity of the region (e.g., related to the specialization of the region). CL providers particularly emphasized these features. The worst represented is the criterion of health benefits provided by CL solutions. Probably, a weak emphasis on the realization of this postulate and low priority of this issue stems from the fact that it is related also to poorly represented environmental criteria.
In turn, the economic dimension was well represented by the examined solutions, especially in the field of an attractive model of remuneration of individual service providers (the criterion “attractive revenue model”), 100% availability of services for clients, and a flexible form of cooperation (the criterion “free capacity, flexibility, accessibility”), also including flexible working hours and weekdays for the individual providers from the crowd (“strategy of cooperation”), the possibility of choosing a specific geographical area (for example, a part of the city; criterion “geographical scale”) for customer service. Although the dominant means of transport is still a car, many providers offer the choice of other means of transport (scooter, bicycle, other), and—as a consequence—different pricing options. Usually, CL offers a delivery standard of within a couple or a dozen hours, up to 48 h if the area of operation is larger than one city (e.g., the offer includes interurban delivery or delivery to suburban zones). Same-day delivery became a standard, so every CL offer should strive to offer it in basic services. The geographical scale of operation is not such an obvious characteristic for CL solutions as it seemed, and was presented in the definitions of the CL as an area of one city. It was different amongst the selected solutions, ranging from typically local solutions (handling freight transport within one city) to regional deliveries. In the individual cases of the identified solutions (not included in the final analysis), international deliveries using air travel were offered. The geographical scope was also measured by the number of served regions/cities (the same CL platform was available in many cities such as popular cafes or fast food restaurants), which testifies to the business success and popularity of the solution. The least-developed element of economic sustainability was providing insurance in the event of a delay, lack of delivery, and damage to transported goods. Some suppliers clearly defined the rules for handling this type of complaint; many indicated that there is such insurance, but did not provide specific information on this subject, which are not available to customers wanting to know their rights if something went wrong with the delivery. A few providers clearly indicated that they do not guarantee in any way handling complaints, which reduces the credibility and attractiveness of their offer.
Taking into account the final evaluation of each of the 24 selected solutions (see Table 7), it turns out that their assessments do not differ much from each other. However, the best solutions can be distinguished, taking into consideration the fulfillment of the requirements of stakeholder groups (see Table 7). For each of them, five solutions have been designated (six for shippers and freight operators because of the very similar assessments of two solutions). CL solutions that were best evaluated in terms of meeting the needs of the local authorities, residents, and others are AmazonFlex (USA), Stuart (France), MyWays (Sweden, Germany), Instacart (USA), and Deliveree (Thailand). Their high rating mainly results, in addition to providing security, from a strong emphasis on creating local community. For PT operators, for whom the CL freight logistics solutions are complementary (some of the staff employed by CL providers are moving by using PT lines), the best solutions are AmazonFlex, Deliv, Stuart, Instacart, and MyWays—the solutions provided by most of them are same as those for the previous group. This is mainly due to the high relative validity of the same criteria—the social criteria, particularly the safety criterion. In turn, for shippers and freight operators, for whom business and economic criteria are the most important, Deliveree (Thailand), Deliv, AmazonFlex, Easyvan, Colis-voiturage, and Veho are the best rated. These are mostly different solutions than those that have been highly rated for other groups, which results from the different priorities of this group of stakeholders in comparison with the other groups.
Some solutions were considered the best for more than one group of stakeholders, and in fact, this is the most important finding of this study: information for potential or existing CL providers on how to prepare the market offer to meet the needs of different stakeholders. These include AmazonFlex (indicated for three groups of stakeholders), Deliv, Deliveree (Thailand), Instacart, MyWays, and Stuart (for two groups of stakeholders). This part of the analysis allowed the answer to RQ2.
The findings of this research using multi-criteria assessment of the CL solutions provide insights for designing the proper CL market offer, both universal and special, dedicated to particular target groups (particular stakeholders groups). Usually, the CL providers address their services to private stakeholders, especially individual customers and small companies. In this study, they are presented as freight operators, shippers, and some of the city users. However, there are many possibilities to include the public transport providers into developing CL solutions, also local authorities, creating urban logistics policy, and many documents related to this area such as sustainable urban logistics (or mobility) plans.
Firstly, according to the empirical research results, CL solutions addressing the needs of the stakeholders improve the efficiency of the whole urban logistics system, such as for example, by reducing the greenhouse gas emissions and traffic. They can improve the sustainability of the urban logistics system in all of the three mentioned areas (economic, environmental, and social) by meeting the different needs of different stakeholders related to sustainability. Some of the solutions such as AmazonFlex read those needs very well; thus, they are better suited to the customers’ expectations, and can be a benchmark for other solutions.
Secondly, the research emphasizes the important role of the freight transport, not only passenger transport in creating the urban logistics system. Based on this finding, the development of crowd logistics solutions should be an element of contemporary city management in the area of logistics and transport.

5. Discussion and Conclusions

The results of the conducted research correspond with the results presented in other scientific articles from the studied area. First of all, the analysis covered different groups of stakeholders, as well as different groups of their priorities, related to CL solutions [39,58,59,63]. This enabled the separate assessments for specific CL solutions and a final global assessment, taking into account partial scores for stakeholder groups. It turned out that there are common areas of interest for various stakeholders groups, especially for local authorities, residents, visitors, and partly, PT providers [17,54,55,68]. The business stakeholders, shippers, and freight operators had the same priorities [68], which were mainly focused on the economic dimension [77,85]. Nevertheless, it should be noted that still, stakeholder analysis in areas of crowdsourcing, urban development, urban logistics, mobility, and CL should be improved, and more empirical studies are needed to address the problem of their needs and characteristics [86,87,88].
This article is the first dealing with stakeholder needs assessment in the area of CL solutions regarding the three dimensions of the sustainable development in cities (environmental, social, and economic). The developed concept of analysis provides insights for many decision-makers, including practitioners, market analysts, and local authorities. The results of the research allowed to find CL solutions that meet the requirements of several interest groups. One solution (AmazonFlex) was rated highly for all five groups of stakeholders, including two groups with homogenous needs (PT operators and authorities, residents and other users). This CL solution will be a role model for others that currently have problems; for example, with a small number of clients or a low level of profitability. Their business models, development strategies, and services offered should be further studied to enhance the knowledge about the ideal CL solution model [17,66]. Managers can use the assessment procedure to verify their business models and concepts regarding CL solutions. It can be a basis for adjusting their offer to market needs and planning future activities (e.g., new services). The procedure increases the awareness of stakeholders’ needs and benchmark solutions to model on. On the other hand, this approach is useful for the local authorities to verify the local market offer and its compatibility with the needs of the different city users and companies doing business within the urban and suburban areas. The results of this study can be a good reference point to create, evaluate, and improve the sustainable urban mobility plans, related also to building a good environment for developing new market players for the sustainable mobility of people and goods.
The main areas of improvement for the existing CL solutions should be to enhance the environmental dimension of their activities [9,64], including for the health of the local community, as well as to design complex insurance and customer service (including complaints) systems. These areas have already been mentioned in this regard in the literature [9,11,56,69,71].
This paper contains a unique proposition of the tools, approaches, and implementation of CL solutions assessment. The CL solutions evaluation model, based on the needs of stakeholders, is a good instrument for evaluating market bidders as well as assessing their own business ideas. The presented model is one of the few that use the AHP approach to build a multi-criteria assessment of solutions in this area [39,65]. This study is, according to the authors’ knowledge, the first about evaluating this kind of sharing economy service in the context of the stakeholders’ needs using the AHP method. Both academic staff (to make comparisons with other research, to compare their own research with this one) and current or future CL providers (to verify and extend their market offers) can use it. This paper can also start a new scientific discussion about the concepts of stakeholder needs analysis according to different approaches and topics related to sharing economy solutions in cities, including Mobility-as-a-Service and CL.
The authors are aware that this research has four strong limitations. Firstly, the set of variables focused only on the sustainability area, and its subareas cannot fully describe the complex character of the needs of stakeholders. Secondly, using multi-criteria methods other than AHP for research goal implementation can give other results. Therefore, one of the future research directions can be the multi-criteria analysis based on the AHP-based hybrid methods, other multi-criteria methods, or comparisons of the results obtained by using different methodological approaches. Thirdly, the set of variables was built based on the literature review, not on the primary data (interviews and surveys), so one of the next steps of developing and enhancing this study will be gathering the primary data. Fourthly, the presented methodological approach might not provide the full list of the existing CL solutions. There is a risk of omitting some CL solutions in this manuscript, even when using the described research method and approach (for example, some CL solutions are called crowdsourcing solutions). However, the authors tried to get access to different sources (literature sources, datasets, the results of the simple search in the Internet search engine) to identify as many CL solutions as possible.
Nevertheless, this study provides useful insights and contributes to the development of knowledge about the construction of CL solutions and their market offer. The research results are promising, and provide many practical implications and future investigation possibilities. Future studies should be conducted to obtain the primary data on CL stakeholders’ needs, using other research methods to address the same research problems and comparing the results with other studies. The authors hope that these and many other issues in the area of CL solutions will be addressed in the near future in both theoretical and empirical research.

Author Contributions

Conceptualization, J.R.-C. and A.S.-J.; methodology, A.S.-J.; software, A.S.-J.; validation, J.R.-C. and A.S.-J.; formal analysis, A.S.-J.; investigation, J.R.-C. and A.S.-J.; resources, J.R.-C.; data curation, A.S.-J.; writing—original draft preparation, J.R.-C. and A.S.-J.; writing—review and editing, J.R.-C. and A.S.-J.; visualization, A.S.-J.; supervision, J.R.-C.; project administration, J.R.-C.; funding acquisition, J.R.-C.

Funding

This research was funded by WSB UNIVERSITY IN GDANSK.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The primary dataset for assessing the CL solutions—assessment of general data and environmental sustainability.
Table A1. The primary dataset for assessing the CL solutions—assessment of general data and environmental sustainability.
Number in the AHP AnalysisSolutionsCountryYear of LaunchWebsiteStill Existing? (Y: yes, N: no)Main Business AreaCriteria
Environmental
123456
Reduction of CO2 EmissionsEff. Use of Loading SpaceDeveloped Model of Using ResourcesReducing NoiseLess WasteCongestion and Traffic
AgheeraGermany2014http://www.agheera.com/Y
(see MyWays)
telematics, crowd logistics
1AmazonFlexUSA2015https://flex.amazon.com/Ycrowd logisticsnoyesnononono
BackpackbandUSA/
Bangladesh
2013https://backpackbang.com/Yforeign shopping and delivery, mostly Bangladesh–USA relationsnodefinitely yesnononono
BarnacleUSA2013http://p2ppostal.appspot.com/Nno information
BeeliveryUK2015https://www.beelivery.com/Ysame-day grocery deliveryyes (using bikes)yesyesnonono
BistipIndonesia2011https://www.bistip.com/Yconnecting travelers and item lookersnoyesyesnonono
Boncarry Spain2015http://boncarrytestapp.appspot.com/Nconnecting travelers and item lookers
Bringbee (by PolyPort GitHub)Switzerland2011http://bringbee.ch/enN (since 2014)online shopping and deliveryyesnoyesyesnoyes
CabenamalaBrazil2012https://www.cabenamala.com.br/N (WWW not working)crowd logistics
CheckrobinGermany2012https://checkrobin.com/Ycourier services (B2B, B2C)noyes, veryyesnonono
2Colis-voitourageFrance2008https://www.colis-voiturage.fr/Ypassenger/freight transportyesnoyesyesyesyes
DealtrotterFrance2015http://www.deal-trotter.com/Nconnecting travelers and item lookers
3DelivUSA2013deliv.coYLast-mile delivery and returnsyes (cars 1998 and newer)nonononono
4DelivereeUSA2015https://delivereeinc.com/Yon-demand delivery, food deliveryyes (bikes allowed)yesyesnonono
5DelivereeThailand2015http://www.deliveree.comYon-demand logisticsyesyes, veryyes, well-developednonono
DeliverooUK2014https://deliveroo.co.uk/Yon-demand food deliveryyesyesyesyesnoyes
DoordashUSA2013doordash.comYfood deliveryyes (bikes allowed)yesyesnonono
6Easyvan (today: Lalamove)Hong Kong2013http://www.lalamove.comYon-demand deliverynoyesyesnonono
EntrustersUSA2014entrustters.comYconnecting travelers and item lookersnoyesnononoyes
7EpiFruitUSA2017https://www.epifruit.comYlocal on-demand deliveriesyes (bikes allowed)yesnononoyes
ExpediezentrevousFrance2009http://www.expediezentrevous.com/Nlocal deliveries
FriendshipperDubai2013http://www.friendshippr.com/N (since 2016)mobile application for crowd shipping
GoFellowCanada2012gofellow.comNlocal freight transport
8GoGoVanHong Kong2013https://www.gogovan.com.hkYon-demand deliverynoyesyesnonoyes
GrubHubUSA2004grubhub.comYfood deliverynononononoyes
9HitchUSA2014HITCHIT.COYon-demand local deliveryyesyesyesyesnoyes
10InstacartUSA2012INSTACART.COMYshopping deliveryyesyesnononoyes
JibliFrance2012https://www.jibli.com/Yconnecting travelers and item lookersnoyesyesnonono
JwebiFrance2014https://www.jwebi.com/Yconnecting travelers and item lookersnoyesnononono
11Kanga (GEODIS partner)USA2013https://www.getkanga.comYon-demand local deliveryyes (bikes allowed)yesyesnonoyes
KombiBus Brandenburg Germany2012kombibus.deYfreight transport using passenger transport bus linesyes (to some extent)yesyesnoyesyes
12ManyShipUSA2013https://www.manyship.comYlocal, national, international on-demand transportnoyesyesnonono
MeeMeepAustralia2011https://meemeepdotcom.wordpress.com/N (since 2014)freight last-mile deliveries
13MetroAfricaXpressNigerianot specifiedhttps://www.max.ngYlocal freight and passenger transportnoyesyesnonoyes
MuberUSA2013not reachableNconnecting travelers and item lookers
MuberAustralia2014muber.com.auNlocal freight shipping
My Lorry/food express (today: Takeaway.com)Germany2013https://www.takeaway.comYlocal food deliveryyesyesyesyesnoyes
14MyTaxi delivery (Daimler Group)Germany2013https://mytaxi.comYlocal on-demand deliverynoyesyesnonoyes
15MyWays (by Agheera by DHL)Sweden, Germany2010http://www.agheera.comY (very few information)crowd logistics solutionsyesyesyesnonoyes
16NimberSweden2010nimber.comYlocal and national deliveriesyesyesyesyesyesyes
PackmuleItaly2010http://www.packmule.it/Nlocal freight transport
17Pack’n’drive (incl. Chainly)France2015http://www.packndrive.com/Yblockchain for smart mobilityyesnonononoyes
ParcelioUSA2012http://www.parcelio.comNlocal freight transport
18ParcifyFrance2017https://parcify.com/en/Ylocal freight transportyes (bikes allowed)yesnononono
PickApp (today: Scharff)Peru2015https://www.holascharff.com/N freight transport (only B2B and B2C)
PicknpassIsrael2011www.picknpass.com/N
19PickThisUpNetherlands2015https://www.pickthisup.nl/Ylocal and national freight transportnoyesyesnonono
20PiggyBeeBelgium2012https://www.piggybee.comYinternational, national, local deliveriesnonoyesnonono
PleaseBringMeTurkey2012http://pleasebringme.com/Ybeing a portal for travelers and localsnononononono
PostmatesUSA2011https://postmates.com/Ylocal deliveries (food)yesyesyesnoyesyes
RideshipUSA2014https://www.rideship.com/Nlocal deliveries
21Roadie USA2014www.roadie.comYlocal and national freight transportnoyesyesnonoyes
ShipeerSpain2014http://www.shipeer.com/Nlocal freight transport
ShipizyPortugal2012http://www.shipizy.com/Nlocal freight transport
22SociotransitDenmark2013http://www.sociotransit.com/Ylocal, national, and international freight transportyesyesyesyesyesyes
23StuartFrance2015www.stuart.comYlocal deliveries (urban areas)yes (mostly bikes)yesyesyesnoyes
SuppertimeAustralia1985http://suppertime.com.au/Nlocal food delivery
TinycarrierUSA/Singapore2013tinycarrier.comNconnecting travelers and item lookersnoyes, veryyesnonoyes
ToktoktokFrance2013toktoktok.comNon-demand pick-up and delivery
TramFret Saiint Etienne France2012http://tramfret.com/Ylocal deliveries using recycled tramway rolling stockyesyesyesyesyesyes
TriwerNorway2017http://www.triwer.com/N (pause from mid-2018)delivering goods
UberEatsUSA2014https://www.ubereats.comYlocal food deliveryyes (bikes, scooters allowed)noyesyesyesyes
UberRUSHUSA2014https://rush.uber.comN (since 2018local on-demand delivery
UrbinkSingapore2017http://www.urbink.com/N (since 2017)
24VehoUSA2016https://shipveho.com/Ylocal and regional deliveriesnoyesyesnonoyes
VILBelgium2003https://vil.be/en/project/crowd-logistics/N (project closed)
WunwunUSA2015http://wunwun.com/Yblog of one traveler (not included in the analysis)no
ZaagelEgypt2013http://zaagel.com/Default.aspxYconnecting travelers and item lookers yes (luggage)nononono
Zipments (today Deliv)USA2013https://www.deliv.co/courier-service/nyc/Ylocal delivery
Table A2. The primary dataset for assessing the CL solutions—assessment of social and economic sustainability.
Table A2. The primary dataset for assessing the CL solutions—assessment of social and economic sustainability.
Number in the AHP AnalysisSolutionSocialEconomic
7891011121314151617181920
Connecting Individual Providers and ConsumersVoluntary CharacterTracking, TransparencySimplicity and TrustSafetyHealth BenefitsIndicating Country Specifics and Ethics in Business ModelAccess to Adequate IT Free Capacity, Flexibility, AccessAttractive Revenue ModelTime of DeliveryStrategy of CooperationGeographical ScaleInsurance
1AmazonFlexyes, highdefinitely yesvery advancedyesYesnoyesyesvery flexible, yes18–25 USD per hoursame-daypartnershipvery restrictedwell developed
Backpackbandyes, but restrictedyesadvancednot very wellYesnoyesyesflexible (but restricted to luggage size)traveler and portal up to 20% of item priceup to 16 daystravelers deliver goods to foreign customersvery widenot well developed
Beeliveryyesdefinitely yesvery advancedyesYesnoyes, definitelyyesvery flexible7–20 pounds per one deliveryup to 90 minvery flexible, anyone can be carrier, very well-developednational, mainly nine citiesnot well developed
BistipyesyesweakyesYesnoyesyes, but not well-developedflexible (but restricted to luggage size)flexible, depends on biddernor declared, flexibleflexible, but controlledrestricted to Asia, mainly Jakarta, Seoul, Tokyo, Singaporenot developed
Bringbee yesyesyesyesYesnoyesyesyes, but there were problems with demand coveragenot specifiedsame-dayflexible, strong neighborhood relations2000+ cities in one countryyes, free of charge
Checkrobinnonoyes, well doneyesYesnonoyesyes, flexiblenoit dependsnot flexible, only B2B or B2CEurope and otheryes
2Colis-voitourageyes (invitations)yesyesyesYesnoyesyesyes, flexibleyes, flexibleit dependsflexibleone country (regions)yes
3Delivyesyesyes, very well developedyesYesnoyesyes, very advancedrestricted to weight and size of cargoyes, up to 22 USD/hoursame-dayvery flexiblerestricted to USAwell developed
4DelivereeyesyesyesyesYesnoyesyesyesno informationsame-dayno informationsmall, restrictedno
5Delivereeyesyesyes, well developedyesYesnoyesyesyes, not restrictedyes, many options (depends on car and services)mostly same-dayvery, very flexible3 countries+ internationalyes
DeliverooyesyesyesyesYesnoyesyesyesup to 120 pounds/dayup to 30 minflexible14 countries
DoordashyesyesyesyesYesnoyesyes, well-developedyes, also disabled peopleyes (guaranteed minimum promotion)up to 30 minflexiblewhole countryyes, well developed
6Easyvan (today: Lalamove)yesyesyes, well developedyesYesnoyesyes, very advancedyes, flexibleyes, but not specifiedlocal – up to 55 minflexible100+ cities across China and Southeast Asiayes
Entrustersyes (invitations)yesyesyesYesnonoyesflexible (but restricted to luggage size)yes, but not specifiednot specifiedflexibleworldnot specified
7EpiFruityesyesyes, well developedyes, restrictedYesnoyesyesyes, but restricted to Manhattanno informationVariousflexibleonly Manhattanyes
8GoGoVanyesyesyesyesYesnoyesyesyes, but restricted for big lorriesyes, but not specifiedVariousflexibleSix countriesyes
GrubHubyesyesyesyesYesnoyesyesyesnot specifiedQuickflexibleUSA and Londonnot specified
9HitchyesyesyesyesYesnoyesyesyes, in 100%yes, specified only as price of deliverysame-dayflexibleUSAnot specified
10Instacartyes, definitelyyesyesyesYesyesyesyesyesyes, but not specifiedsame-dayflexibleUSA and Canadanot specified
Jibliyesyesyes, well developedyesYesnonoyesYes, but restrictedyes, but not specifiedvariousno informationworldnot specified
JwebiyesyesyesyesYesnoyesyesyes, but restrictedyes, but not specifiedvariousflexibleworldnot specified
11Kanga yes, restrictedyesyes, but not specifiedyesYesnoyesyesyesyes, flexiblevarious, mostly same-dayflexibleUSAnot specified
KombiBus Brandenburg nonoyesyesYesnoyesyes, but not well developedyesnoaccording to timetablesflexible (but only bus stations)Germanynot specified
12ManyShipyesyesyesyesYesnoyesyesyes, but restrictednot specified2–3 days (country), 5–10 days (international)flexibleworldno
13MetroAfricaXpressyesyes (but restricted)not specifiedyesYesnoyesyesyesnot specified3–5 h for same-day deliveriesflexibleNigeria, Lagosnot specified
My Lorry/food (Takeaway.com)yesyesnoyesYesyesyesyesyes, alwaysyes, but not specifiedup to two hoursvery flexiblenine countries (mostly Europe)not specified
14MyTaxi delivery yes, restrictedRestrictedyesyesYesnoyesyesyesyes, but not specifiedsame-day, usually quickflexibleworld, but mostly Europenot specified
15MyWays yesyesvery advancedyesYesnonoyes, well-developedyesnot specifiedsame-day deliveryflexiblewidewell developed
16NimberyesyesyesyesYesyesyesyesyesyesvarious, also same-dayflexiblewide, mostly nationalnot specified
17Pack’n’drive yesyesyesyesYesnoyesyesyesnot specifiedVariousflexiblewideyes
18ParcifyyesyesyesyesYesnoyesyesyesyes, but not specified, low pricesShortflexibleFranceyes (up to 2000 EUR)
19PickThisUpyesyesyesyesYesnoyesyesyesyes, but not specified8–24 hflexibleNetherlands (up to 640 km)not specified
20PiggyBeeyesyesyesyesyesnoyesyesyes, sometimes restrictedyes, but not specifiedvariousflexibleworld (mostly Europe and America)yes, up to 1500 USD
PleaseBringMeyesyesnoyesNononoyesnonovariousflexible, but without the responsibility of portalworldno
Postmatesyes, very wellyesyesyesYesyesyesyesyesyessame-dayflexibleUS citiesyes
21Roadie yesyesyesyesYesnoyesyesyesyes, but not specifiedvariousflexibleUSAyes
22SociotransityesyesyesyesYesnoyesyesyes, sometimes restrictedyes, but not specifiedvariousflexiblemany countries (mostly Western Europe)very wide
23Stuartyesyes, definitelyyesyesyes (requirement)yesyesyes, well developedyesyes, specifiedsame-dayvery flexiblethree countries (UK, France, Spain), 14 citiesyes
Tinycarrieryesyesyes, restrictedyesYesnoyes, requirementsyesyes, sometimes restrictedyes, but not specifiedvariousflexibleworldyes, up to 500,000 Singapore dollars
TramFret Saiint Etienne yesyes, restrictedyesyesYesyesyesyes, restrictedyes, restricted in some waynot specifiedsame-day, very shortflexiblewithin a citynot specified
UberEatsyesyesyesyesYesnoyesyes, well developedyes, alwaysyes, specifiedshort, up to two hoursvery flexiblemany countries, worldwidenot specified
24Vehoyesyesyes, well doneyesYesnoyesyes, well developedyesyes, guaranteed2–8 h, same-day, next-day deliveriesvery flexibleregions, USAnot specified
ZaagelyesyesnoyesYesnoyesyes, not well developedyesyes, flexibleflexibleflexibleUSA, Egyptnot specified

References

  1. Cheba, K.; Saniuk, S. Sustainable Urban Transport—The Concept of Measurement in the Field of City Logistics. Transp. Res. Procedia 2016, 16, 35–45. [Google Scholar] [CrossRef]
  2. World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352). 2014. Available online: https://population.un.org/wup/Publications/Files/WUP2014-Highlights.pdf (accessed on 2 March 2019).
  3. Devari, A.; Nikolaev, A.G.; He, Q. Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers. Transp. Res. Part E 2017, 105, 105–122. [Google Scholar] [CrossRef]
  4. Szmelter, A.; Woźniak, H. New Mobility Behaviours and Their Impact on Creation of New Business Models. Tor. Bus. Rev. 2015, 15, 79–95. [Google Scholar]
  5. Semanjski, I.; Gautama, S. A collaborative stakeholder decision-Making approach for sustainable urban logistics. Sustainability 2019, 11, 234. [Google Scholar] [CrossRef]
  6. Glotz-Richter, M. Reclaim Street Space!—Exploit the European Potential of Car Sharing. Transp. Res. Procedia 2016, 14, 1296–1304. [Google Scholar] [CrossRef]
  7. Lindenau, M.; Böhler-Baedeker, S. Citizen and Stakeholder Involvement: A Precondition for Sustainable Urban Mobility. Transp. Res. Procedia 2014, 4, 347–360. [Google Scholar] [CrossRef] [Green Version]
  8. Barratt, M. Understanding the meaning of collaboration in the supply chain. Supply Chain Manag. 2004, 9, 30–42. [Google Scholar] [CrossRef]
  9. Buldeo Rai, H.; Verlinde, S.; Merckx, J.; Macharis, C. Crowd logistics: An opportunity for more sustainable urban freight transport? Eur. Transp. Res. Rev. 2017, 9, 1–14. [Google Scholar] [CrossRef]
  10. Russo, F.; Rindone, C.; Panuccio, P.; May, A.D.; Russo, F.; Rindone, C.; Panuccio, P.; Bínová, H.; Endrizalová, E.; Heralová, D.; et al. European plans for the smart city: From theories and rules to logistics test case. Eur. Plan. Stud. 2016, 24, 1709–1726. [Google Scholar] [CrossRef]
  11. Buldeo Rai, H.; Verlinde, S.; Macharis, C. Shipping outside the box. Environmental impact and stakeholder analysis of a crowd logistics platform in Belgium. J. Clean. Prod. 2018, 202, 806–816. [Google Scholar] [CrossRef]
  12. Wang, Y.; Zhang, D.; Liu, Q.; Shen, F.; Lee, L.H. Towards enhancing the last-Mile delivery: An effective crowd-Tasking model with scalable solutions. Transp. Res. Part E 2016, 93, 279–293. [Google Scholar] [CrossRef]
  13. Gonzalez-Feliu, J.; Pronello, C.; Salanova Grau, J.M. Multi-Stakeholder Collaboration in Urban Transport: State-of-the-Art and Research Opportunities. Transport 2018, 33, 1079–1094. [Google Scholar] [CrossRef]
  14. Serafini, S.; Nigro, M.; Gatta, V.; Marcucci, E. Sustainable crowdshipping using public transport: A case study evaluation in Rome. Transp. Res. Procedia 2018, 30, 101–110. [Google Scholar] [CrossRef]
  15. Poetz, M.K.; Schreier, M. The value of crowdsourcing: Can users really compete with professionals in generating new product ideas? J. Prod. Innov. Manag. 2012, 29, 245–256. [Google Scholar] [CrossRef]
  16. Botsman, R. The Rise of Sharing Economy. Available online: https://www.economist.com/leaders/2013/03/09/the-rise-of-the-sharing-economy (accessed on 14 May 2019).
  17. Castillo, V.E.; Bell, J.E.; Rose, W.J.; Rodrigues, A.M. Crowdsourcing Last Mile Delivery: Strategic Implications and Future Research Directions. J. Bus. Logist. 2018, 39, 7–25. [Google Scholar] [CrossRef]
  18. Bardhi, F.; Eckhardt, G.M. The Sharing Economy Isn’t about Sharing at All. Harv. Bus. Rev. 2015. Available online: https://hbr.org/2015/01/the-sharing-economy-isnt-about-sharing-at-all (accessed on 2 April 2019).
  19. Frenken, K.; Schor, J. Putting the sharing economy into perspective. Environ. Innov. Soc. Transit. 2017, 23, 3–10. [Google Scholar] [CrossRef]
  20. Babbage, C. On the Economy of Machinery and Manufactures; John Murraj: London, UK, 1832. [Google Scholar]
  21. Mladenow, A.; Bauer, C.; Strauss, C. “Crowd logistics”: The contribution of social crowds in logistics activities. Int. J. Web Inf. Syst. 2016, 12, 379–396. [Google Scholar] [CrossRef]
  22. Punel, A.; Stathopoulos, A. Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects. Transp. Res. Part E 2017, 105, 18–38. [Google Scholar] [CrossRef]
  23. Finck, M.; Ranchordas, S. Sharing and the City. Vand. J. Transnatl. Law 2016, 49, 1299. [Google Scholar] [CrossRef]
  24. Hwang, J.; Griffiths, M.A. Share more, drive less: Millennials value perception and behavioral intent in using collaborative consumption services. J. Consum. Mark. 2017, 34, 132–146. [Google Scholar] [CrossRef]
  25. Surowiecki, J.; Silverman, M.P. The Wisdom of Crowds. Am. J. Phys. 2007, 75, 190–192. [Google Scholar]
  26. Chen, C.; Cheng, S.; Gunawan, A.; Misra, A.; Dasgupta, K.; Chander, D. TRACCS: Trajectory-Aware Coordinated Urban Crowd-Sourcing. In Proceedings of the Second AAAI Conference on Human Computation & Crowdsourcing (HCOMP), Pittsburgh, PA, USA, 2–4 November 2014; pp. 30–40. [Google Scholar]
  27. Klumpp, M. Crowdsourcing in Logistics: An Evaluation Scheme. In Proceedings of the Dynamics in Logistics Proceedings of the 5th International Conference LDIC, Bremen, Germany, 22–25 February 2016; pp. 401–411. [Google Scholar]
  28. Doan, A.; Ramakrishnan, R.; Halevy, A.Y. Crowdsourcing Systems on the Web. Commun. ACM 2011, 54, 86–96. [Google Scholar] [CrossRef]
  29. Zhang, M.; Xia, Y.; Li, S.; Wu, W.; Wang, S. Crowd Logistics Platform’s Informative Support to Logistics Performance: Scale Development and Empirical Examination. Sustainability 2019, 11, 451. [Google Scholar]
  30. Carbone, V.; Rouquet, A.; Roussat, C. The Rise of Crowd Logistics: A New Way to Co-Create Logistics Value. J. Bus. Logist. 2017, 38, 238–252. [Google Scholar] [CrossRef]
  31. Dreyer, B.; Lüdeke-Freund, F.; Hamann, R.; Faccer, K. Upsides and downsides of the sharing economy: Collaborative consumption business models’ stakeholder value impacts and their relationship to context. Technol. Forecast. Soc. Chang. 2017, 125, 87–104. [Google Scholar] [CrossRef]
  32. Heutger, M. Sharing Economy Logistics. In Rethinking Logistics with Access over Ownership; DHL Customer Solutions & Innovation: Berlin, Germany, 2017. [Google Scholar]
  33. Hamari, J.; Sjöklint, M.; Ukkonen, A. The Sharing Economy: Why People Participate in. J. Assoc. Inf. Sci. Technol. 2016, 67, 2047–2059. [Google Scholar] [CrossRef]
  34. Schor, J. Debating the Sharing Economy. J. Self-Gov. Manag. Econ. 2017, 4, 7. [Google Scholar]
  35. Carbone, V.; Rouquet, A.; Roussat, C. A typology of logistics at work in collaborative consumption. Int. J. Phys. Distrib. Logist. Manag. 2018, 48, 570–585. [Google Scholar] [CrossRef]
  36. Howe, J. The Rise of Crowdsourcing. Available online: https://www.wired.com/2006/06/crowds/#comments (accessed on 5 May 2019).
  37. Afuah, A.; Tucci, C.L. Value capture and crowdsourcing. Acad. Manag. Rev. 2013, 38, 457–460. [Google Scholar] [CrossRef]
  38. Hopwood, B.; Mellor, M.; O’Brien, G. Sustainable development: Mapping different approaches. Sustain. Dev. 2005, 13, 38–52. [Google Scholar] [CrossRef]
  39. Dassen, T.; Kunseler, E.; van Kessenich, L.M. The sustainable city: An analytical-deliberative approach to assess policy in the context of sustainable urban development. Sustain. Dev. 2013, 21, 193–205. [Google Scholar] [CrossRef]
  40. Klingebiel, K.; Wagenitz, A. An Introduction to Logistics as a Service. In Efficiency in Logistics; Clausen, U., ten Hompel, M., Klumpp, M., Eds.; Springer: Berlin, Germany, 2012. [Google Scholar]
  41. Galbreth, M.R.; Ghosh, B.; Shor, M. Social Sharing of Information Goods: Implications for Pricing and Profits. Mark. Sci. 2012, 31, 603–620. [Google Scholar] [CrossRef]
  42. Fraiberger, S.P.; Sundararajan, A. Peer-to-Peer Rental Markets in the Sharing Economy. 2015. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2574337 (accessed on 15 August 2019).[Green Version]
  43. Gaziulusoy, A.I.; Twomey, P. Emerging Approaches in Business Model Innovation Relevant to Sustainability and Low-Carbon Transitions. 2014. Available online: http://www.visionsandpathways.com/wp-content/uploads/2014/10/Gaziulusoy_Twomey_NewBusinessModels.pdf (accessed on 15 August 2019).
  44. Böcker, L.; Meelen, T. Sharing for people, planet or profit? Analysing motivations for intended sharing economy participation. Environ. Innov. Soc. Transit. 2017, 23, 28–39. [Google Scholar] [CrossRef] [Green Version]
  45. Gatta, V.; Marcucci, E.; Nigro, M.; Serafini, S. Sustainable urban freight transport adopting public transport-based crowdshipping for B2C deliveries. Eur. Transp. Res. Rev. 2019, 11, 1–14. [Google Scholar] [CrossRef]
  46. Carbone, V.; Rouquet, A.; Roussat, C. “Carried away by the crowd”: What types of logistics for collaborative consumption? Emporté par la foule: Quelles logistiques pour la consommation collaborative? Rev. Fr. Gest. 2016, 42, 105–122. [Google Scholar] [CrossRef]
  47. Cohen, B.; Kietzmann, J. Ride On! Mobility Business Models for the Sharing Economy. Organ. Environ. 2014, 27, 279–296. [Google Scholar] [CrossRef]
  48. Schenk, E.; Guittard, C. Towards a characterization of crowdsourcing practices. J. Innov. Econ. Manag. 2011, 1, 93–107. [Google Scholar] [CrossRef]
  49. Klingebiel, K.; Kuhn, A.; Li, C. Planning Changeability in Distribution Systems. In Proceedings of the Wissenschaft und Praxis im Dialog: International Scientific Symposium on Logistics 6, Hamburg, Germany, 13–14 June 2012. [Google Scholar]
  50. Sandkuhl, K.; Lin, F.; Shilov, N.; Smirnov, A.; Tarasov, V.; Krizhanovsky, A. Logistics-As-A-Service: Ontology-Based architecture and approach. Investig. Oper. 2013, 34, 188–194. [Google Scholar]
  51. Buldeo Rai, H.; Verlinde, S.; Merckx, J.; Macharis, C. Can the Crowd Deliver? Analysis of Crowd Logistics’ Types and Stakeholder Support. In City Logistics 3; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2018; pp. 89–108. [Google Scholar]
  52. Mehmann, J.; Frehe, V.; Teuteberg, F. Crowd Logistics—A Literature Review and Maturity Model. In Proceedings of the Innovations and Strategies for Logistics and Supply Chains Conference of Logistics (HICL), Hamburg, Germany, 19 November 2015. [Google Scholar]
  53. Samparo Oliveira, A.H.; Savelsbergh, M.W.; Veelenturf, L.P.; van Woensel, T. Crowd-Based city logistics. In SCL Report Series; Eindhoven University of Technology: Eindhoven, The Netherlands, 2016; pp. 1–14. [Google Scholar]
  54. Frehe, V.; Mehmann, J.; Teuteberg, F. Understanding and assessing crowd logistics business models—Using everyday people for last mile delivery. J. Bus. Ind. Mark. 2017, 32, 75–97. [Google Scholar] [CrossRef]
  55. Li, Z.; Hensher, D. Crowding in Public Transport: A Review of Objective and Subjective Measures. J. Public Transp. 2015, 16, 107–134. [Google Scholar] [CrossRef]
  56. Pimentel, C.; Alvelos, F. Integrated urban freight logistics combining passenger and freight flows—Mathematical model proposal. Transp. Res. Procedia 2018, 30, 80–89. [Google Scholar] [CrossRef]
  57. Van Duin, J.H.R.; Wiegmans, B.; Tavasszy, L.A.; Hendriks, B.; He, Y. Evaluating New Participative City Logistics Concepts: The Case of Cargo Hitching. In Proceedings of the 3rd International Conference Green Cities—Green Logistics for Greener Cities, Szczecin, Poland, 12–14 September 2018; pp. 1–9. [Google Scholar]
  58. Kiba-Janiak, M. Key Success Factors for City Logistics from the Perspective of Various Groups of Stakeholders. Transp. Res. Procedia 2016, 12, 557–569. [Google Scholar] [CrossRef] [Green Version]
  59. Dablanc, L. Goods transport in large European cities: Difficult to organize, difficult to modernize. Transp. Res. Part A 2007, 41, 280–285. [Google Scholar] [CrossRef]
  60. Russo, F.; Comi, A. Measures for Sustainable Freight Transportation at Urban Scale: Expected Goals and Tested Results in Europe. J. Urban Plan. Dev. 2010, 137, 142–152. [Google Scholar] [CrossRef]
  61. Ward, D. Stakeholder involvement in transport planning: Participation and power. Impact Assess. Proj. Apprais. 2001, 19, 119–130. [Google Scholar] [CrossRef]
  62. Vakulenko, Y.; Hellström, D.; Hjort, K. What’s in the parcel locker? Exploring customer value in e-commerce last mile delivery. J. Bus. Res. 2018, 88, 421–427. [Google Scholar] [CrossRef]
  63. Stathopoulos, A.; Valeri, E.; Marcucci, E. Stakeholder reactions to urban freight policy innovation. J. Transp. Geogr. 2012, 22, 34–45. [Google Scholar] [CrossRef]
  64. Ding, G.K.C. Developing a multicriteria approach for the measurement of sustainable performance. Build. Res. Inf. 2005, 33, 3–16. [Google Scholar] [CrossRef]
  65. Abdul-Rahman, H.; Wang, C.; Wood, L.C.; Ebrahimi, M. Integrating and ranking sustainability criteria for housing. Proc. Inst. Civ. Eng. 2016, 169, 3–30. [Google Scholar] [CrossRef] [Green Version]
  66. Zenezini, G.; van Duin, J.H.R.; Tavasszy, L.; De Marco, A. Stakeholders’ Roles for Business Modeling in a City Logistics Ecosystem: Towards a Conceptual Model. In City Logistics 2: Modeling and Planning Initiatives; Taniguchi, E., Thompson, R.G., Eds.; ISTE Ltd.: London, UK, 2018; pp. 39–58. [Google Scholar]
  67. Taylor, M.A.P. The City Logistics paradigm for urban freight transport. In Proceedings of the 2nd State of Australian Cities SOAC, Perth, Australia, 2 December 2005; pp. 1–19. [Google Scholar]
  68. Lindholm, M. Successes and Failings of an Urban Freight Quality Partnership—The Story of the Gothenburg Local Freight Network. Procedia Soc. Behav. Sci. 2014, 125, 125–135. [Google Scholar] [CrossRef]
  69. Dell’Amico, M.; Hadjidimitriou, S. Innovative Logistics Model and Containers Solution for Efficient Last Mile Delivery. Procedia Soc. Behav. Sci. 2012, 48, 1505–1514. [Google Scholar] [CrossRef] [Green Version]
  70. Gavanas, N.; Pozoukidou, G.; Verani, E. Integration of LUTI models into sustainable urban mobility plans (SUMPs). Eur. J. Environ. Sci. 2016, 6, 11–17. [Google Scholar] [CrossRef] [Green Version]
  71. Campbell, J.F.; Labelle, A.; Langevin, A. A hybrid travel distance approximation for a GIS-Based decision support system. J. Bus. Logist. 2001, 22, 165–181. [Google Scholar] [CrossRef]
  72. Nyaga, G.N.; Whipple, J.M. Relationship Quality and Performance Outcomes: Achieving a Sustainable Competitive Advantage. J. Bus. Logist. 2011, 32, 345–360. [Google Scholar] [CrossRef]
  73. Alessandria, F. Inclusive City, Strategies, Experiences and Guidelines. Procedia Soc. Behav. Sci. 2016, 223, 6–10. [Google Scholar] [CrossRef] [Green Version]
  74. Junghans, L.; Kreft, S.; Welp, M. Inclusive Visions for Urban Transitions: Lessons from stakeholder dialogues in Asian medium sized cities. Sustain. Cities Soc. 2018, 42, 512–520. [Google Scholar] [CrossRef]
  75. Fossheim, K.; Andersen, J. Plan for sustainable urban logistics—Comparing between Scandinavian and UK practices. Eur. Transp. Res. Rev. 2017, 9, 52. [Google Scholar] [CrossRef]
  76. Spickermann, A.; Grienitz, V.; Von Der Gracht, H.A. Heading towards a multimodal city of the future: Multi-stakeholder scenarios for urban mobility. Technol. Forecast. Soc. Chang. 2014, 89, 201–221. [Google Scholar] [CrossRef]
  77. Gonzalez-Feliu, J.; Semet, F.; Routhier, J.L. EcoProduction. Environmental Issues in Logistics and Manufacturing Sustainable Urban Logistics: Concepts, Methods and Information Systems; Springer: Heidelberg, Germany, 2014. [Google Scholar]
  78. Bos, R.; Temme, R. A Roadmap towards Sustainable Mobility in Breda. Transp. Res. Procedia 2014, 4, 103–115. [Google Scholar] [CrossRef] [Green Version]
  79. Wojewnik-Filipkowska, A.; Węgrzyn, J. Understanding of Public—Private Partnership Stakeholders as a Condition of Sustainable Development. Sustainability 2019, 11, 1194. [Google Scholar] [CrossRef]
  80. Denyer, D.; Tranfield, D. Producing a systematic review. In The Sage Handbook of Organizational Research Methods; Sage Publications Ltd.: London, UK, 2009. [Google Scholar]
  81. Akeb, H.; Moncef, B.; Durand, B. Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris. Transp. Res. Part E 2018, 119, 223–233. [Google Scholar] [CrossRef]
  82. Saaty, R.W. The Analytical Hierarchy Process—What and Why it is Used. Math. Model. 1987, 9, 161–176. [Google Scholar] [CrossRef]
  83. Reszka, L. Possible applications of the AHP method for solving multi-Criteria optimization problems in logistics. Transp. Econ. Logist. Ser. 2014, 51, 251–259. [Google Scholar]
  84. Iwan, S.; Kijewska, K.; Lemke, J. Analysis of Parcel Lockers’ Efficiency as the Last Mile Delivery Solution—The Results of the Research in Poland. Transp. Res. Procedia 2016, 12, 644–655. [Google Scholar] [CrossRef]
  85. Quak, H.; Lindholm, M.; Tavasszy, L.; Browne, M. From Freight Partnerships to City Logistics Living Labs—Giving Meaning to the Elusive Concept of Living Labs. Transp. Res. Procedia 2016, 12, 461–473. [Google Scholar] [CrossRef]
  86. Julsrud, T.E.; Priya Uteng, T. Technopolis, shared resources or controlled mobility? A net-Based Delphi-Study to explore visions of future urban daily mobility in Norway. Eur. J. Futures Res. 2015, 3, 10. [Google Scholar] [CrossRef]
  87. Vakulenko, K.; Kuhtin, K.; Afanasieva, I.; Galkin, A. Designing the Optimal Public Bus Routes Network at Suburban Area. Transp. Res. Procedia 2019, 39, 554–564. [Google Scholar] [CrossRef]
  88. Verlinde, S.; Macharis, C. Innovation in Urban Freight Transport: The Triple Helix Model. Transp. Res. Procedia 2016, 14, 1250–1259. [Google Scholar] [CrossRef] [Green Version]
Figure 1. The research procedure.
Figure 1. The research procedure.
Sustainability 11 05361 g001
Table 1. Objectives of main stakeholders’ groups in the city logistics area.
Table 1. Objectives of main stakeholders’ groups in the city logistics area.
StakeholdersObjectives in the Area of Logistics
SocialEconomicEnvironmental
Authorities
PT operators
Shippers
Freight carriers
Transport operators
Dwellers
Other users
Source: [5,7,11,13,61,68]. PT: public transport.
Table 2. Criteria in the proposed framework.
Table 2. Criteria in the proposed framework.
Group CriterionGroup CriterionGroup Criterion
Environmental1.Reduction in CO2 emissionsSocial7.Connecting individual providers and consumersEconomic14.Access to adequate IT infrastructure
2.Effective use of loading space8.Voluntary character15.Free capacity, flexibility, accessibility
3.Developed model of using resources9.Tracking, transparency16.Attractive revenue model
4.Reducing noise10.Simplicity and trust17.Short time of delivery
5.Less waste11.Safety18.Strategy of cooperation
6.Less congestion and traffic12.Health benefits19.Geographical scale
13.Indicating country specifics and ethics in business model20.Insurance
Table 3. Description of the environmental criteria and their relations—literature review results.
Table 3. Description of the environmental criteria and their relations—literature review results.
No. CriterionDescription/Information—Importance
1Reduction of CO2 emissionsChoosing zero-emission or low-emission transport modes (bike, going on foot; public transportation)/low attention of users and providers [9]; important for 30% of drivers [54]
2Effective use of loading spaceReducing a number of routes to deliver goods/low importance [54]
3Developed model of using resourcesEnabling the service in a sustainable way by using the existing resources (both companies and individuals)/low to medium importance [21,30,35,54]
4Reducing noiseUsing quiet transport modes (bikes and going on foot, using public transportation); recording the noise; and keeping the users informed about its level/important for local society [21]
5Less waste (e.g., tires)Less waste caused by decreasing the use of the modes of transport polluting the environment/as important as reducing noise [9,65]
6Congestion and trafficLess traffic caused by growing active transport modes’ popularity/as important as reducing noise [30,35,65]
Table 4. Description of the social criteria and their relations—literature review results.
Table 4. Description of the social criteria and their relations—literature review results.
No.CriterionDescription/Information—Importance
7Connecting individual providers and consumersConnecting business and individual providers and consumers, Courier, Express and Parcel (CEP) service providers, freelancers; the crowd logistics company operates as a mediator between these two networks/essential [9,54]
8Voluntary characterPeople select logistics services themselves of their own accord/basic element [9]
9Tracking, transparencyThe crowd is registered and tracked by the platform, but usually, quality and service are more difficult to control and rarely can be guaranteed/crucial, but are indicated as a source of stress if the crowd identify is unknown [9]
10Simplicity and trustThe customer is not interested in contractual details, but in ordering and safety [21]/important to the individual and customer [21,54]
11SafetyThe security of goods has to be delivered, as well as the procedure in the case of damage/very important for the customer [30]
12Health benefitsModal choice can influence lower CO2 emissions, better air quality, and better health/as important as environmental issues [9]
13Indicating country specifics and ethics in business modelCulture and ethics may have an impact on the safety of transactions and delivering parcels/does not have a certain impact on customer decision [54]
Table 5. Description of the economic criteria and their relations—literature review results. CL: crowd logistics.
Table 5. Description of the economic criteria and their relations—literature review results. CL: crowd logistics.
No. CriterionDescription/Information—Importance
14Access to adequate IT infrastructureThe IT solution (portal, mobile applications) provides the opportunity to engage a wide range of users; many mechanisms can be put in place: rigorous verification process, feedback system, etc. [26]/crucial for every CL solution [9]
15Free capacity, flexibility, accessibilityThe CL solution can provide a range of possibilities and providers every time and every place, to every route needed/very important for the customer [9,54]
16Attractive revenue modelAvailable revenue models: resale margin, financial or matching fees, fixed or negotiated prices, membership, rewards, barters, or discounts; mostly the CL platform provider receives a part of the final revenue from the service provided by the crowd/the most important factor [9]
17Time of deliveryThe most attractive is the same-day delivery/very important factor [54]
18Strategy of cooperationIt includes effective marketing to gain the competitive advantage, number of users (Internet advertising, social media, and bonus programs) and cooperation at a regional or local scale that refers especially to partnerships with IT specialists, investors, and most prominently, retailers and individuals/very important for both sides of transactions [9,52]
19Geographical scaleOn one hand, the distinction can be made between intra-urban, inter-urban, and global scales, and on the other hand, they can be made between regional, national, international and worldwide scales/very important [9,21]
20InsuranceThe customer wants to know that his or her parcel is safe and there is some insurance/important [54]
Table 6. Criteria (variables) matrix—the importance for different groups of stakeholders. PT: public transit.
Table 6. Criteria (variables) matrix—the importance for different groups of stakeholders. PT: public transit.
For Authorities, Residents, Other UsersFor Shippers and Freight OperatorsFor PT Operators
CriteriaResultCriteriaResultCriteriaResult
10.0353140.13706970.113628
20.0353150.13706980.113628
30.0353160.35105590.113628
40.0353170.137069100.113628
50.0353180.137069110.459298
60.0353190.050335120.043095
70.0999200.050335130.043095
80.0999
90.0999
100.0999
110.3175
120.0353
130.0353
Table 7. Criteria in the proposed framework.
Table 7. Criteria in the proposed framework.
No. of SolutionAssessment Result
For Authorities, Residents, OthersFor Shippers and Freight OperatorsFor PT Operators
AmazonFlex0.05980.07340.0660
Colis-voitourage0.04230.05880.0386
Deliv0.04540.07640.0499
Deliveree (USA)0.03930.02270.0386
Deliveree (Thailand)0.04680.09840.0431
Easyvan (today: Lalamove)0.04060.06030.0431
EpiFruit0.04060.02010.0398
GoGoVan0.03800.02260.0386
Hitch0.04090.03640.0386
Instacart0.04720.02780.0495
Kanga (GEODIS partner)0.03680.05280.0343
ManyShip0.03670.02460.0386
MetroAfricaXpress0.03380.03550.0339
MyTaxi delivery (Daimler Group)0.03310.03550.0331
MyWays (by Agheera by DHL)0.04780.03800.0487
Nimber0.04560.03830.0415
Pack’n’drive (incl. Chainly)0.03680.02590.0386
Parcify0.03820.02930.0386
PickThisUp0.03670.03360.0386
PiggyBee0.03570.02490.0386
Roadie0.03800.02390.0386
Sociotransit0.04330.02850.0386
Stuart0.05460.05380.0495
Veho0.04190.05840.0431

Share and Cite

MDPI and ACS Style

Rześny-Cieplińska, J.; Szmelter-Jarosz, A. Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach. Sustainability 2019, 11, 5361. https://doi.org/10.3390/su11195361

AMA Style

Rześny-Cieplińska J, Szmelter-Jarosz A. Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach. Sustainability. 2019; 11(19):5361. https://doi.org/10.3390/su11195361

Chicago/Turabian Style

Rześny-Cieplińska, Jagienka, and Agnieszka Szmelter-Jarosz. 2019. "Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach" Sustainability 11, no. 19: 5361. https://doi.org/10.3390/su11195361

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop