Topic Editors

School of Architecture and Built Environment, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK
Dr. Babis Magoutas
1. Institute of Communication and Computer Systems, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece
2. Frontier Innovations, Apeipsiou 10, 11143 Athens, Greece
Dr. Michiel de Bok
Department of Transport and Planning, Delft University of Technology, 2628 CN Delft, The Netherlands
Dr. Suresh H. Renukappa
Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton, UK
Dr. Subashini Suresh
Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton, UK

Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume

Abstract submission deadline
closed (31 August 2023)
Manuscript submission deadline
closed (31 October 2023)
Viewed by
25791

Topic Information

Dear Colleagues,

Today, more than ever before, the mobility of passengers and goods is undergoing unprecedented transformations. Socioeconomic changes and technological advances have resulted in a volatile state of transport, where supply and demand are constantly transitioning. Innovative disruptive schemes for passengers (mobility as a service, ride-hailing, microtransit, carpooling, car clubs, etc.), sustainable last-mile logistics offerings (e-vehicles, crowdshipping, crowdsourcing, physical internet for logistics, etc.), and the advent of connected and autonomous vehicles constitute a powerful, but untested mix of transport supplies. Conversely, the rise of urbanization, the transport usership aptitudes of generation Z, and same-day delivery for e-commerce paradigms are a few events that have resulted in unfamiliar patterns of transport demand. Furthermore, policies for low- or zero-emission zones are starting to become part of cities’ urban mobility and logistics plans, and the recent pandemic has impacted working and consuming habits, with long-standing effects that are still unknown. As a result of the above, decision-makers require tools that will allow for them to effectively prognose short- and medium-term states of transport supply and demand, and assess the impact of different policies and strategies to better manage such states. In addition, the plethora of new mobility services has given rise to the need for integrated technological solutions, which will harness the large amount of data generated by the operation of such services and allow for their optimal configuration and deployment.

In this topic, we welcome papers that present innovative modelling and simulation approaches and tools that can support decision-makers in planning sustainable transport systems by considering different eventualities in the current, ever-changing conditions and forestalling adverse transport impacts. In addition, we invite the submission of research works that propose integrated and data-driven technology solutions that can facilitate the rapid adoption and frictionless deployment of sustainable transport systems and innovative mobility services. Submitted papers may contain, but are not limited to, systematic reviews, conceptual designs of solutions, technological prototypes, outputs of live demonstrations, and observational studies. Potential topics include, but are not limited to, the following:

  • Transport simulation tools;
  • Modelling of transportation services;
  • Integration of innovative mobility services, inc. autonomous vehicles and drones;
  • Shared mobility and mobility as a service;
  • Data-driven impact assessment methodologies;
  • Urban and last-mile logistics services;
  • Innovative traffic management applications;
  • Big data analytics for transportation;
  • Machine learning for transport applications;
  • Smart city platforms integrating new mobility services;
  • Digital twins for transport systems;
  • Decarbonisation of urban freight transport.

Dr. Panagiotis Georgakis
Dr. Babis Magoutas
Dr. Michiel de Bok
Dr. Suresh H. Renukappa
Dr. Subashini Suresh
Topic Editors

Keywords

  • sustainable transport systems
  • transport modelling
  • new mobility services
  • transport simulation tools
  • modelling of transportation services
  • integration of innovative mobility services, inc. autonomous vehicles and drones
  • shared mobility and mobility as a service
  • data-driven impact assessment methodologies
  • urban and last-mile logistic services
  • innovative traffic management applications
  • big data analytics for transportation
  • machine learning for transport applications
  • smart city platforms integrating new mobility services
  • digital twins for transport systems
  • decarbonisation of urban freight transport

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Future Transportation
futuretransp
- - 2021 28.2 Days CHF 1000
Logistics
logistics
3.8 5.1 2017 25.4 Days CHF 1400
Smart Cities
smartcities
6.4 8.5 2018 20.2 Days CHF 2000
Sustainability
sustainability
3.9 5.8 2009 18.8 Days CHF 2400
Urban Science
urbansci
2.0 4.5 2017 23.7 Days CHF 1600
Vehicles
vehicles
2.2 2.9 2019 22.2 Days CHF 1600

Preprints.org is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

  1. Immediately share your ideas ahead of publication and establish your research priority;
  2. Protect your idea from being stolen with this time-stamped preprint article;
  3. Enhance the exposure and impact of your research;
  4. Receive feedback from your peers in advance;
  5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (14 papers)

Order results
Result details
Journals
Select all
Export citation of selected articles as:
41 pages, 2881 KiB  
Article
The Optimal Size of a Heterogeneous Air Taxi Fleet in Advanced Air Mobility: A Traffic Demand and Flight Scheduling Approach
by Martin Lindner, Robert Brühl, Marco Berger and Hartmut Fricke
Future Transp. 2024, 4(1), 174-214; https://doi.org/10.3390/futuretransp4010010 - 11 Feb 2024
Viewed by 678
Abstract
Introducing Advanced Air Mobility (AAM) as a novel transportation mode poses unique challenges due to limited practical and empirical data. One of these challenges involves accurately estimating future passenger demand and the required number of air taxis, given uncertainties in modal shift dynamics, [...] Read more.
Introducing Advanced Air Mobility (AAM) as a novel transportation mode poses unique challenges due to limited practical and empirical data. One of these challenges involves accurately estimating future passenger demand and the required number of air taxis, given uncertainties in modal shift dynamics, induced traffic patterns, and long-term price elasticity. In our study, we use mobility data obtained from a Dresden traffic survey and modal shift rates to estimate the demand for AAM air taxi operations for this regional use case. We organize these operations into an air taxi rotation schedule using a Mixed Integer Linear Programming (MILP) optimization model and set a tolerance for slight deviations from the requested arrival times for higher productivity. The resulting schedule aids in determining the AAM fleet size while accounting for flight performance, energy consumption, and battery charging requirements tailored to three distinct types of air taxi fleets. According to our case study, the methodology produces feasible and high-quality air taxi flight rotations within an efficient computational time of 1.5 h. The approach provides extensive insights into air taxi utilization, charging durations at various locations, and assists in fleet planning that adapts to varying, potentially uncertain, traffic demands. Our findings reveal an average productivity of 12 trips per day per air taxi, covering distances from 13 to 99 km. These outcomes contribute to a sustainable, business-focused implementation of AAM while highlighting the interaction between operational parameters and overall system performance and contributing to vertiport capacity considerations. Full article
Show Figures

Figure 1

22 pages, 7138 KiB  
Article
Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants
by Mithila Hasan and Virginia P. Sisiopiku
Future Transp. 2024, 4(1), 130-151; https://doi.org/10.3390/futuretransp4010008 - 02 Feb 2024
Viewed by 500
Abstract
Shared micromobility has gained significant attention in the field of transportation engineering in recent years as an environmentally friendly, convenient, and easily accessible transportation mode. Like other medium-sized cities, Birmingham, Alabama implemented a shared micromobility pilot program in 2021 that captured the attention [...] Read more.
Shared micromobility has gained significant attention in the field of transportation engineering in recent years as an environmentally friendly, convenient, and easily accessible transportation mode. Like other medium-sized cities, Birmingham, Alabama implemented a shared micromobility pilot program in 2021 that captured the attention of local travelers. This study examined shared e-scooter usage and associated travel patterns in Birmingham using 2021–2022 field data. From these data, ArcGIS maps were used to showcase trip origins and destinations. To gain a further understanding of e-scooter travel patterns in the study area, zip code and block group densities were calculated. Additionally, a negative binomial regression model was constructed to identify determinants of shared e-scooter trips. The analysis results showed that the usage of shared e-scooters was the highest during the nighttime (9109 trips between 9 p.m. to 10 p.m.), on weekends (20,077 trips on Saturday), and in the fall season (a total of 29,024 trips). Furthermore, the research findings indicated that shared e-scooters experienced their highest utilization rates in areas with a higher proportion of educated and higher-income individuals. These findings suggest that travelers’ mode choice related to the use of micromobility modes is influenced by environmental and demographic factors. Overall, this case study offers valuable contributions to the understanding of the role of shared e-scooters in Birmingham’s transportation landscape and can guide transportation authorities in other medium-sized cities in their efforts to plan for micromobility options. Full article
Show Figures

Figure 1

24 pages, 3309 KiB  
Article
Modeling Extended Service Quality for Public Transportation in the Post-Pandemic Period: Differentiating between Urban and Rural Areas: A Case Study of Intercity Railway, Thailand
by Panuwat Wisutwattanasak, Thanapong Champahom, Sajjakaj Jomnonkwao, Manlika Seefong, Kestsirin Theerathitichaipa, Rattanaporn Kasemsri and Vatanavongs Ratanavaraha
Logistics 2023, 7(4), 93; https://doi.org/10.3390/logistics7040093 - 05 Dec 2023
Viewed by 1515
Abstract
Background: Scholars have indicated differences in the attitudes of urban and non-urban populations, especially after the COVID-19 outbreak, which extend to their needs and expectations regarding rail transport development. The aim of this study is to enhance the quality of train services in [...] Read more.
Background: Scholars have indicated differences in the attitudes of urban and non-urban populations, especially after the COVID-19 outbreak, which extend to their needs and expectations regarding rail transport development. The aim of this study is to enhance the quality of train services in the post-pandemic era, and multigroup analysis will be applied to achieve the difference in area context. Methods: The research data were collected from rail transport users throughout Thailand, consisting of 665 urban and 935 rural users. The questionnaires primarily focused on user expectations regarding rail service quality and travel conditions in the post-pandemic landscape using multigroup confirmatory factor analysis (MCFA). Results: The results unveiled significant variations in user trends and needs across different contexts and areas. In urban settings, there was a notably higher overall service expectation compared to rural areas. Specifically, urban users prioritized factors such as accessibility and service empathy, whereas rural rail users placed greater emphasis on staff quality and reasonable pricing. Conclusions: These findings furnish rail transport service agencies with valuable insights and guidance for comprehending their users’ needs. They can develop appropriate organizational strategies, service quality enhancements, and policy adjustments tailored to the unique demands of urban and rural areas in the post-pandemic era, thereby ensuring sustainability. Additionally, the methodology of multigroup analysis served as a significant scientific contribution; this showed that the statistical analysis of different area contexts in the study should not be ignored. Full article
Show Figures

Figure 1

24 pages, 5606 KiB  
Article
User Preference Analysis for an Integrated System of Bus Rapid Transit and On-Demand Shared Mobility Services in Amman, Jordan
by Farah Altarifi, Nawal Louzi, Dana Abudayyeh and Tariq Alkhrissat
Urban Sci. 2023, 7(4), 111; https://doi.org/10.3390/urbansci7040111 - 25 Oct 2023
Viewed by 1842
Abstract
Amman, the capital of Jordan, has experienced significant traffic congestion due to the rise in private vehicle ownership and limited public transportation services. A Stated Preference (SP) survey was conducted to determine public transportation users’ willingness to use the Bus Rapid Transit (BRT) [...] Read more.
Amman, the capital of Jordan, has experienced significant traffic congestion due to the rise in private vehicle ownership and limited public transportation services. A Stated Preference (SP) survey was conducted to determine public transportation users’ willingness to use the Bus Rapid Transit (BRT) service. Another survey assessed the demand for an on-demand transit bus service with flexible and moderate costs, particularly for individuals far from the main BRT stations who need to reach them. Two models, Multinomial Logit (MNL) and Mixed Logit (ML), were utilized to understand user preferences for work-related trips. The study findings indicate that the cost of the trip and the waiting time are the two primary factors influencing public transport users’ choices. Furthermore, sociodemographic factors, such as age, income, household size, and current status, were found to have a significant impact. The results reveal that approximately 71% of participants would utilize an integrated public transportation system comprising BRT and on-demand services. The findings underscore the potential benefits of an integrated public transport system in addressing Amman’s traffic congestion. By combining BRT and on-demand services, the city can offer residents comfortable, affordable, and efficient transportation options, thus effectively mitigating congestion. Full article
Show Figures

Figure 1

20 pages, 3354 KiB  
Article
Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona
by Raquel Soriano-Gonzalez, Elena Perez-Bernabeu, Yusef Ahsini, Patricia Carracedo, Andres Camacho and Angel A. Juan
Logistics 2023, 7(4), 75; https://doi.org/10.3390/logistics7040075 - 16 Oct 2023
Cited by 2 | Viewed by 2391
Abstract
Background: This article identifies and examines key performance indicators (KPIs) related to citizen mobility logistics in smart and sustainable urban areas. It begins with a comprehensive literature review to identify essential KPIs, offering valuable insights for both public and private stakeholders, including [...] Read more.
Background: This article identifies and examines key performance indicators (KPIs) related to citizen mobility logistics in smart and sustainable urban areas. It begins with a comprehensive literature review to identify essential KPIs, offering valuable insights for both public and private stakeholders, including policymakers and mobility service providers. Drawing from various mobility projects in smart cities, the study extracts common KPIs and best practices. The focus of the paper then turns to Barcelona, Spain, where KPIs that matter most are analyzed. Methods: Using open data from the city council spanning from 2017 onwards, the study provides insights into the evolving mobility logistics landscape. KPIs from other European cities are also considered by utilizing similar open data sources. This comparative analysis provides valuable benchmarks and reveals disparities in mobility logistics. Throughout this investigation, the paper emphasizes the role of data quality in KPI selection. Results: Reliable open data significantly influence indicator choices and present challenges when comparing cities. Remarkably, the findings consistently highlight environmental data as an area requiring attention in sustainable mobility logistics. Conclusions: This paper makes contributions by identifying and examining KPIs relevant to citizen mobility logistics in smart and sustainable urban areas. It offers insights by applying these KPIs to Barcelona and conducting comparative analyses with other European cities. These findings serve as a valuable resource for policymakers, city planners, and mobility experts. Full article
Show Figures

Figure 1

27 pages, 7142 KiB  
Article
Planning Integrated Unmanned Aerial Vehicle and Conventional Vehicle Delivery Operations under Restricted Airspace: A Mixed Nested Genetic Algorithm and Geographic Information System-Assisted Optimization Approach
by Konstantinos Kouretas and Konstantinos Kepaptsoglou
Vehicles 2023, 5(3), 1060-1086; https://doi.org/10.3390/vehicles5030058 - 02 Sep 2023
Viewed by 1308
Abstract
Using Unmanned Aerial Vehicles (UAVs), commonly referred to as “drones”, as a supplementary mode for last-mile deliveries has been a research focus for some years now. Motivation lies in the reduced dependency on Conventional Vehicles (CVs) and fossil fuels and in serving remote [...] Read more.
Using Unmanned Aerial Vehicles (UAVs), commonly referred to as “drones”, as a supplementary mode for last-mile deliveries has been a research focus for some years now. Motivation lies in the reduced dependency on Conventional Vehicles (CVs) and fossil fuels and in serving remote areas and underprivileged populations. We are building a flexible, modular framework for integrated CV-UAV parcel delivery operations planning that is responsive to infrastructure and demand and offers an open and practical tool for future adaptations. The entire model and solution methodology are practical tools for decision making and strategic planning, with novelties such as the variable Launch Site types for Launch and Recovery Operations (LAROs), the tailored Assignment and Routing Optimization nested GA, the consideration of airspace restrictions of any shape and size, the inclusion of GIS tools in the process, the modularity of the platform, and most importantly, the inclusion of all the above in a single, comprehensive, and holistic approach. Because of the need for safe UAV deployment sites and the high presence of restricted airspace zones in urban environments, the intended field of application is assumed to be the delivery of small packages in rural and under-connected areas, the execution of inter-city deliveries, and the expansion of a city’s original service range. A single CV is equipped onboard with UAVs, while special locations, such as Remote Depots (RDs) with UAVs and Virtual Hubs (VHs) for UAV deployment facilitation, are introduced. The framework considers the presence of Restricted Zones (RZs) for UAV flights. Part of the methodology is implemented in a GIS environment, taking advantage of modern tools for spatial analysis and optimal path planning. We have designed a tailored nested GA method for solving the occurring mode assignment and vehicle routing optimization problems and have implemented our workflow on a devised case study with benchmark characteristics. Our model responds well to unfavorable network types and demand locations, while the presence of RZs notably affects the expected solution and should be considered in the decision-making process. Full article
Show Figures

Figure 1

28 pages, 4702 KiB  
Article
Research on Cold Chain Logistics Transportation Scheme under Complex Conditional Constraints
by Bin Xu, Jie Sun, Zhiming Zhang and Rui Gu
Sustainability 2023, 15(10), 8431; https://doi.org/10.3390/su15108431 - 22 May 2023
Cited by 2 | Viewed by 1791
Abstract
A mathematical model is proposed to minimize the sum of vehicle fixed cost, fuel cost, carbon-emission cost, cooling cost, time-penalty cost and split-compensation cost, on the basis of considering the three-level cold-chain-logistics network of manufacturer, distribution center, and seller. The model is constructed [...] Read more.
A mathematical model is proposed to minimize the sum of vehicle fixed cost, fuel cost, carbon-emission cost, cooling cost, time-penalty cost and split-compensation cost, on the basis of considering the three-level cold-chain-logistics network of manufacturer, distribution center, and seller. The model is constructed based on the constraints of customer time window, vehicle load, demand-splitable, and semi-open driving of multiple distribution centers. We to divide the customer areas according to geographical locations and to carry out the transportation processes in stages. The target solution, which includes vehicle routing, service time and type, cargo details, etc., has been formulated. A two-stage hybrid-heuristic-path-scheme solution algorithm that combines a taboo table, a genetic algorithm, an optimal-path-generation algorithm, a load-capacity-constraint algorithm, and a time-window-constraint algorithm is designed in view of the complexity of the model and the uniqueness of the solution scheme. This paper aims to reasonably plan the resource allocation of cold chain logistics enterprises, reduce the comprehensive cost of cold chain transportation, improve customer satisfaction, and respond to the green logistics policy advocated by the state by reducing vehicle transit time and fuel consumption, and promote energy conservation and emission reduction. Full article
Show Figures

Figure 1

22 pages, 1611 KiB  
Article
Dynamic Pricing for the Open Online Ticket System: A Surrogate Modeling Approach
by Elizaveta Stavinova, Ilyas Varshavskiy, Petr Chunaev, Ivan Derevitskii and Alexander Boukhanovsky
Smart Cities 2023, 6(3), 1303-1324; https://doi.org/10.3390/smartcities6030063 - 09 May 2023
Viewed by 1735
Abstract
Dynamic pricing is frequently used in online marketplaces, ticket sales, and booking systems. The commercial principles of dynamic pricing systems are often kept secret; however, their application causes complex changes in human behavior. Thus, a scientific tool is needed to evaluate and predict [...] Read more.
Dynamic pricing is frequently used in online marketplaces, ticket sales, and booking systems. The commercial principles of dynamic pricing systems are often kept secret; however, their application causes complex changes in human behavior. Thus, a scientific tool is needed to evaluate and predict the impact of dynamic pricing strategies. Publications in the field lack a common quality evaluation methodology, public data, and source code, making them difficult to reproduce. In this paper, a data-driven method, DPRank, for evaluating dynamic pricing systems is proposed. DPRank first builds a surrogate price elasticity of demand model using public data generated by a hidden dynamic pricing model, and then applies the surrogate model to build an exposed dynamic pricing model. The hidden and exposed dynamic pricing models were then systematically compared in terms of quality using a Monte Carlo simulation in terms of a company’s revenue. The effectiveness of the proposed method was tested on the dataset collected from the website of a Russian railway passenger carrier company. Depending on the train type, the quality difference between the hidden and exposed models can vary by several dozen percent on average, indicating the potential for improving the existing (hidden) company’s dynamic pricing model. Full article
Show Figures

Figure 1

16 pages, 6027 KiB  
Article
Advanced Smartphone-Based Identification of Transport Modes: Resilience under GNSS-Based Attacks
by Estefania Munoz Diaz, Jose Manuel Rubio Hernan, Francisco Jurado Romero, Aicha Karite, Alexandre Vervisch-Picois and Nel Samama
Future Transp. 2023, 3(2), 568-583; https://doi.org/10.3390/futuretransp3020033 - 04 May 2023
Viewed by 1152
Abstract
One of the main challenges for ticketing in Mobility as a Service is the integration of the public and individual transport modes into a unified ticketing service. To realize this concept, a trustworthy identification of transport modes that is resilient to possible attacks [...] Read more.
One of the main challenges for ticketing in Mobility as a Service is the integration of the public and individual transport modes into a unified ticketing service. To realize this concept, a trustworthy identification of transport modes that is resilient to possible attacks is required. In this work, we propose two smartphone-based methods to seamlessly identify the use of trams, buses, subways, walking and bicycles, which are able to detect GNSS-based attacks and continue to provide a trustworthy identification of transport modes. We have recorded real-world measurements with commercial smartphones using the transport network in Munich and Paris. Our results show that it is possible to provide trustworthy identification of transport modes even when the system is under attack. In conclusion, in this work we demonstrate the vulnerability of smartphone-based ticketing to GNSS-based attacks, propose two methods to overcome this vulnerability and demonstrate the validity of our methods with real-world measurements. Full article
Show Figures

Figure 1

15 pages, 3714 KiB  
Article
Exploring the Characteristics of Green Travel and the Satisfaction It Provides in Cities Located in Cold Regions of China: An Empirical Study in Heilongjiang Province
by Wenhui Zhang, Hao Chen, Hongzhuo Zhou, Changhang Wu and Ziwen Song
Sustainability 2023, 15(8), 6449; https://doi.org/10.3390/su15086449 - 10 Apr 2023
Viewed by 1318
Abstract
Green travel can decrease energy consumption and air pollution. Many cities in China have implemented measures encouraging residents to take public transport, ride bicycles, or walk. However, non-green travel is still popular in some northern cities due to prolonged cold weather. In order [...] Read more.
Green travel can decrease energy consumption and air pollution. Many cities in China have implemented measures encouraging residents to take public transport, ride bicycles, or walk. However, non-green travel is still popular in some northern cities due to prolonged cold weather. In order to understand the characteristics of green travel and its use by urban residents in Heilongjiang Province, a typically cold region, this study conducted traffic surveys in 13 cities in Heilongjiang Province. Through investigation and calculation of the data, we obtained key indicators such as the share rate of motorized travel for public transit and the satisfaction derived from green travel. According to the results of the data analysis, green energy buses are becoming increasingly popular in most cities in Heilongjiang Province. However, green travel infrastructure has failed to be updated on time, resulting in low satisfaction with travel in some cities, especially in terms of the waiting environment in winter. Results indicate the level of exploration and development of green transportation resources significantly differed across cities in Heilongjiang Province. By implementing targeted policies such as developing NEBs, obsoleting TEBs and old NEBs, and optimizing the bus network, old industrial cities can be reinvigorated. This will support governmental decisions and contribute to reducing carbon emissions. Full article
Show Figures

Figure 1

23 pages, 6985 KiB  
Article
Modeling Car-Following Behavior with Different Acceptable Safety Levels
by Maosheng Li, Jing Fan and Jaeyoung Lee
Sustainability 2023, 15(7), 6282; https://doi.org/10.3390/su15076282 - 06 Apr 2023
Cited by 1 | Viewed by 1147
Abstract
In normal car-following (CF) states, the minimum safe braking distance (MSBD) is virtually an unmeasurable variable, mainly due to the diversity of drivers’ reaction times and vehicles’ braking performance. The average MSBD regarding the reaction time and decelerations as constant values is sometimes [...] Read more.
In normal car-following (CF) states, the minimum safe braking distance (MSBD) is virtually an unmeasurable variable, mainly due to the diversity of drivers’ reaction times and vehicles’ braking performance. The average MSBD regarding the reaction time and decelerations as constant values is sometimes greater than the distance used for safe braking of the following vehicle when the leading vehicle applies an emergency brake, which is named the short-distance CF behavior. The short-distance CF conveys that drivers adopt strategies of lower acceptable safety levels, which can be applied to intelligent connected technology (ICT). The objective of this paper was to extend the CF model to accommodate manual driving behavior on the state of different safety levels, and to analyze road traffic flow in the environment from manual driving to high-level intelligent driving with different delays. First, the cognitive bias variable was defined as the ratio of the actual braking distance available to the average MSBD to indirectly analyze different safety levels. Second, the Gipps model was extended, depending on the cognitive bias variable threshold and the duration length of the short-distance CF state, to reproduce driving behaviors with different acceptable safety levels more accurately by numerical simulation. Finally, using models to numerically simulate the impact of vehicles on road traffic flow was carried out. CF behaviors with lower acceptable safety levels under manual driving conditions increase traffic efficiency, and road capacity and safety are significantly improved due to ICT enabling a shortened reaction time. The short-distance driving applied to ICT is expected to be a strategy for traffic congestion mitigation. Full article
Show Figures

Figure 1

21 pages, 325 KiB  
Article
Research on the Spatial Spillover Effect of Transportation Infrastructure on Urban Resilience in Three Major Urban Agglomerations in China
by Jian Wang, Yuzhou Deng, Sonia Kumari and Zhihui Song
Sustainability 2023, 15(6), 5543; https://doi.org/10.3390/su15065543 - 21 Mar 2023
Cited by 5 | Viewed by 1663
Abstract
The development of transportation infrastructure can ensure the strong recovery and reconstruction function of a city, and it is an important way to build a resilient city. Studying the impact of the transportation infrastructure level on urban resilience is related to the future [...] Read more.
The development of transportation infrastructure can ensure the strong recovery and reconstruction function of a city, and it is an important way to build a resilient city. Studying the impact of the transportation infrastructure level on urban resilience is related to the future development of a city. Based on panel data for China’s three major urban agglomerations from 2008 to 2019, this paper uses the spatial econometric model to explore the spatial spillover effect of transportation infrastructure on urban resilience. The results show that, due to its spillover effect, intra-regional transportation infrastructure promotes the urban resilience of cities around Beijing–Tianjin–Hebei and the Pearl River Delta, while it only promotes the urban resilience of local cities in the Yangtze River Delta. Inter-regional transportation infrastructure not only inhibits the local urban resilience of Beijing–Tianjin–Hebei but also reduces the urban resilience of surrounding cities. However, the impact on the Yangtze River Delta and the Pearl River Delta is not obvious. To promote the overall resilience level in three major urban agglomerations in China, this paper argues that it is urgently required to improve the quality of urban road traffic facilities and optimize the structure of intercity transportation to promote the development of transportation infrastructure and urban resilience. The implementation of several policies is recommended to efficiently improve the transportation infrastructure and urban resilience in these three major urban agglomerations in China. Full article
24 pages, 2797 KiB  
Article
A Mixed-Integer Linear Formulation for a Dynamic Modified Stochastic p-Median Problem in a Competitive Supply Chain Network Design
by Amir Hossein Sadeghi, Ziyuan Sun, Amirreza Sahebi-Fakhrabad, Hamid Arzani and Robert Handfield
Logistics 2023, 7(1), 14; https://doi.org/10.3390/logistics7010014 - 02 Mar 2023
Cited by 10 | Viewed by 4418
Abstract
Background: The Dynamic Modified Stochastic p-Median Problem (DMS-p-MP) is an important problem in supply chain network design, as it deals with the optimal location of facilities and the allocation of demand in a dynamic and uncertain environment. Methods: In this research [...] Read more.
Background: The Dynamic Modified Stochastic p-Median Problem (DMS-p-MP) is an important problem in supply chain network design, as it deals with the optimal location of facilities and the allocation of demand in a dynamic and uncertain environment. Methods: In this research paper, we propose a mixed-integer linear formulation for the DMS-p-MP, which captures the key features of the problem and allows for efficient solution methods. The DMS-p-MP adds two key features to the classical problem: (1) it considers the dynamic nature of the problem, where the demand is uncertain and changes over time, and (2) it allows for the modification of the facility locations over time, subject to a fixed number of modifications. The proposed model uses robust optimization in order to address the uncertainty of demand by allowing for the optimization of solutions that are not overly sensitive to small changes in the data or parameters. To manage the computational challenges presented by large-scale DMS-p-MP networks, a Lagrangian relaxation (LR) algorithm is employed. Results: Our computational study in a real-life case study demonstrates the effectiveness of the proposed formulation in solving the DMS p-Median Problem. The results show that the number of opened and closed buildings remains unchanged as the time horizon increases due to the periodic nature of our demand. Conclusions: This formulation can be applied to real-world problems, providing decision-makers with an effective tool to optimize their supply chain network design in a dynamic and uncertain environment. Full article
Show Figures

Figure 1

26 pages, 1443 KiB  
Article
Assessment of the Impact of Advertising in Promoting Sustainable Mobility and Multimodality in the Urban Transport System
by Margarita Išoraitė, Aldona Jarašūnienė and Kristina Samašonok
Future Transp. 2023, 3(1), 210-235; https://doi.org/10.3390/futuretransp3010013 - 06 Feb 2023
Cited by 2 | Viewed by 2275
Abstract
Advertising can influence and change consumers’ attitudes, habits, and behaviour and can therefore be a way to promote sustainable mobility and multimodality in urban transport systems. This paper focuses on the following questions: what is the impact of advertising on consumer behaviour in [...] Read more.
Advertising can influence and change consumers’ attitudes, habits, and behaviour and can therefore be a way to promote sustainable mobility and multimodality in urban transport systems. This paper focuses on the following questions: what is the impact of advertising on consumer behaviour in the context of sustainable mobility and multimodal decision making in urban transport systems? This paper assesses the impact of advertising on consumer behaviour in the context of the scientific literature, and discusses the methods and effectiveness of advertising in promoting sustainable mobility and multimodality in urban transport systems. Thus, this study examines the role of advertising and its impact on consumer behaviour, and provides a framework for the use of advertising to promote sustainable mobility and multimodality in urban transport systems. The study involved 396 inhabitants of major Lithuanian cities. Analytical descriptive, quantitative, and statistical research methods were applied. A quantitative research strategy was used to better understand the expression of advertising and its impact on the development of sustainable mobility and multimodality in urban transport. The results show that advertisements promoting sustainable mobility do not have a significant impact and only a small proportion of respondents associate advertisements with the development of sustainable mobility and multimodality in urban transport. This provides an opportunity to improve the information system of advertisements by exploiting the originality, text, content, and idea of the advertisement, which the study found to be one of the most influential factors in changing consumers’ attitudes and encouraging them to make travel decisions based on the principles of sustainable mobility and multimodality. In addition, television, the internet (including e-mail advertising), radio, and outdoor billboards can be among the most effective means of providing information in anticipation of the development of sustainable mobility and multimodality in urban transport. The results of the study will therefore have long-term value for the scientific debate on the impact of advertising on the promotion of sustainable mobility and multimodality in urban transport, and a practical relevance for providing guidelines for the development of sustainable mobility and multimodality in urban transport in the information advertising system. Full article
Show Figures

Figure 1

Back to TopTop