Journal Description
Future Transportation
Future Transportation
is an internationally, peer-reviewed, multidisciplinary scholarly, and open access journal on the civil engineering, economics, environment and geography, computer science and other transdisciplinary dimensions of transportation, published quarterly online by MDPI.
- Open Access—free to download, share, and reuse content. Authors receive recognition for their contribution when the paper is reused.
- Rapid Publication: first decisions in 15 days; acceptance to publication in 3 days (median values for MDPI journals in the first half of 2021).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
- Future Transportation is a companion journal of Sustainability.
subject
Imprint Information
Open Access
ISSN: 2673-7590
Latest Articles
Consumer Adoption of Plug-In Electric Vehicles in Selected Countries
Future Transp. 2021, 1(2), 303-325; https://doi.org/10.3390/futuretransp1020018 - 10 Aug 2021
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The transition to plug-in electric vehicles is examined from the consumer’s perspective. Since risk-averse consumers perceive disadvantages as well as advantages, consumers are reluctant to choose electric propulsion without significant nudges from the government. Norway, California, Germany and China are analyzed to determine
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The transition to plug-in electric vehicles is examined from the consumer’s perspective. Since risk-averse consumers perceive disadvantages as well as advantages, consumers are reluctant to choose electric propulsion without significant nudges from the government. Norway, California, Germany and China are analyzed to determine why and how electric vehicles are promoted by public policies. Each jurisdiction has accomplished rates of electric-vehicle penetration that are far above the global average. This success is largely attributed to various policies which range from vehicle mandates, producer and/or consumer subsidies, or taxation in respective regions—otherwise PEVs remain relatively unappealing to risk-averse consumers. Demand and supply side policies have been effective tools in spurring adoption of the new electric propulsion system. Norway is one notable jurisdiction that has PEV penetration exceeding 80% of new vehicle sales despite no supply side incentives. Germany has recently surpassed California and China in PEV penetration rate, though all three jurisdictions exceeded 10 percent by 2020 or early 2021. Research is recommended to identify ways to encourage consumer adoption of electric vehicles.
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Open AccessArticle
Evidence-Based Market Overview of Incentives and Disincentives in Electric Mobility as a Key to the Sustainable Future
Future Transp. 2021, 1(2), 290-302; https://doi.org/10.3390/futuretransp1020017 - 09 Aug 2021
Abstract
Electric mobility is one of the key technologies that may contribute to tackling externalities especially in the fight against climate change, and consequently in achieving sustainable transportation. Among the different electric vehicle (EV) technologies, battery electric vehicles (BEVs) constitute a strong option for
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Electric mobility is one of the key technologies that may contribute to tackling externalities especially in the fight against climate change, and consequently in achieving sustainable transportation. Among the different electric vehicle (EV) technologies, battery electric vehicles (BEVs) constitute a strong option for future transportation. Despite the large investments made in the EV industry and the large-scale promotion of electric mobility through several policy measures in the last decade, this market segment is still underrepresented in the total automotive market. The available evidence indicates that there is a remarkable gap between the expectations and experiences in applying the measures. This study investigates the available measures that, directly or indirectly, may contribute to the future success of the BEVs. The authors categorize the available measures (financial incentives, non-financial incentives, disincentives) and highlight the possible cross-effects between them through a descriptive analysis. The main finding of this study is that, as there are synergies between the different measures, decision makers need a complex approach to excavate the market mechanism and implement effective and efficient policy measures.
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Open AccessReview
The Social, Economic, and Environmental Impacts of Ridesourcing Services: A Literature Review
Future Transp. 2021, 1(2), 268-289; https://doi.org/10.3390/futuretransp1020016 - 03 Aug 2021
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The proliferation of ridesourcing services has raised both hopes and concerns about their role in cities. The impacts of ridesourcing services are complex and multi-faceted. Through reviewing the literature, this study aims to identify the social, economic, and environmental impacts of these services
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The proliferation of ridesourcing services has raised both hopes and concerns about their role in cities. The impacts of ridesourcing services are complex and multi-faceted. Through reviewing the literature, this study aims to identify the social, economic, and environmental impacts of these services and highlight opportunities and challenges that lay ahead of them for resolving issues related to urban transportation. According to the results, ridesourcing services offer safe modes of transport that provide convenient mobility options, improve transit availability in disadvantaged and remote areas, and respond to taxi demand fluctuations. They can create new job opportunities by employing new human resources that have not been used before, provide flexible working hours for drivers, and are more efficient than taxi cabs. These services provide other opportunities to extend or complement public transit, reduce car ownership and congestion, and minimize parking supply. However, they are criticized for unfair competition with traditional taxis, limited compliance with social legislation, and lack of affordability. They are not available in all places and exclude some vulnerable and socially disadvantaged groups. Labor rights are not secure in this industry, and driver income is not stable. Finally, there is also evidence showing that, in some cases, they contribute to the growth of VMT, energy use, greenhouse gas emissions, and congestion in cities.
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Open AccessArticle
Public Transportation Network Design and Frequency Setting: Pareto Optimality through Alternating-Objective Genetic Algorithms
Future Transp. 2021, 1(2), 248-267; https://doi.org/10.3390/futuretransp1020015 - 02 Aug 2021
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The transportation network design and frequency setting problem concerns the optimization of transportation systems comprising fleets of vehicles serving a set amount of passengers on a predetermined network (e.g., public transport systems). It has been a persistent focus of the transportation planning community
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The transportation network design and frequency setting problem concerns the optimization of transportation systems comprising fleets of vehicles serving a set amount of passengers on a predetermined network (e.g., public transport systems). It has been a persistent focus of the transportation planning community while, its NP-hard nature continues to present obstacles in designing efficient, all-encompassing solutions. In this paper, we present a new approach based on an alternating-objective genetic algorithm that aims to find Pareto optimality between user and operator costs. Extensive computational experiments are performed on Mandl’s benchmark test and prove that the results generated by our algorithm are 5–6% improved in comparison to previously published results for Pareto optimality objectives both in regard to user and operator costs. At the same time, the methods presented are computationally inexpensive and easily run on office equipment, thus minimizing the need for expensive server infrastructure and costs. Additionally, we identify a wide variance in the way that similar computational results are reported and, propose a novel way of reporting benchmark results that facilitates comparisons between methods and enables a taxonomy of heuristic approaches to be created. Thus, this paper aims to provide an efficient, easily applicable method for finding Pareto optimality in transportation networks while highlighting specific limitations of existing research both in regards to the methods used and the way they are communicated.
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Open AccessReview
Assessment of Digitalized Logistics for Implementation in Low-Income Countries
Future Transp. 2021, 1(2), 227-247; https://doi.org/10.3390/futuretransp1020014 - 02 Aug 2021
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Integration of digitalization and automation with logistics systems promotes effective and efficient flow of goods, information, and services, contributing to economic development. The level of implementation of digitalization and automation in low-income countries is still low, however. The aim of this study is
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Integration of digitalization and automation with logistics systems promotes effective and efficient flow of goods, information, and services, contributing to economic development. The level of implementation of digitalization and automation in low-income countries is still low, however. The aim of this study is to establish which digitalized logistics practices could best be adopted by firms in low-income countries. A systematic literature review was used to identify state-of-the-art digitalization and automation technologies in logistics chains. Criteria for adopting digitalized logistics practices were also identified in the literature review. An expert survey was conducted to identify criteria weights using analytical hierarchy process (AHP). Economic benefit, infrastructure, and affordability were the criteria that were given the highest weights by the experts. Case studies that applied state-of-the-art technologies such as internet of things (IoT), radio frequency identification (RFID), blockchain, big data analytics (BDA), and sensors mainly for traceability, production operation, and warehouse and inventory management were considered as recommended practices. Identification of suitable practices considering the local conditions in low-income countries could help logistics professionals and policymakers adopt enabling technologies in logistics chains.
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Open AccessArticle
Which High-Speed Rail? LARG Approach between Plan and Design
Future Transp. 2021, 1(2), 202-226; https://doi.org/10.3390/futuretransp1020013 - 29 Jul 2021
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Of the approximately 100,000 km of High-Speed Rail (HSR) lines in the world today, half are in operation and half are planned or under construction. The implementation of HSRs are planned in various countries with different characteristics to pursue different objectives. Today, the
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Of the approximately 100,000 km of High-Speed Rail (HSR) lines in the world today, half are in operation and half are planned or under construction. The implementation of HSRs are planned in various countries with different characteristics to pursue different objectives. Today, the results are known, and therefore, the differences between the planned and achieved objectives can be verified. Italy is one of the countries that first built an HSR, and now, at the national planning level, Italy has decided to implement an HSR in Southern Italy. The problem is therefore not “whether” to realize an HSR but “which” type of HSR to realize. Italy is an important case study at the international level because it is possible to extend the HSR network in three different ways: upgrading existing lines by increasing the speed to 200 km/h, building a new line with speeds of 300 km/h with heavy freight trains, and building a new line with speeds of 300 km/h without heavy freight trains. The problem is how to find the best alternative in order to pursue sustainable development while considering national planning. To solve this problem, at the intermediate level between planning and design, the theoretical Lean, Agile, Resilient, Green (LARG) paradigm is proposed and applied. This approach can be extended to all countries that are launching massive and expensive programs to construct HSR lines or to upgrade existing lines.
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Open AccessArticle
Extension of Energy and Transport Scenario Modelling to Include a Life Cycle Perspective
Future Transp. 2021, 1(2), 188-201; https://doi.org/10.3390/futuretransp1020012 - 22 Jul 2021
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The paper outlines the methodology for the extension of the assessment of transport scenarios to include a life cycle perspective. When considering greenhouse gas emissions in the operational phase, the inclusion of the upstream chain increases emissions in conventional systems by only 17%
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The paper outlines the methodology for the extension of the assessment of transport scenarios to include a life cycle perspective. When considering greenhouse gas emissions in the operational phase, the inclusion of the upstream chain increases emissions in conventional systems by only 17% to 19%. In transport systems that utilise a large share of electricity generated predominantly from renewable energies without direct emissions, this value can rise sharply. In the present case, up to 304%. The emissions currently associated with the production of the transport fleet correspond to 56 Mt CO2e and thus 22% of total emissions. In most scenarios, however, this value decreases more slowly than the operational emissions. This increases the share of emissions caused by production. Thus, the inclusion of life cycle emissions is an important component for assessing sustainability.
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Open AccessArticle
Selection and Implementation of Intelligent Transportation Systems for Work Zone Construction Projects
Future Transp. 2021, 1(2), 169-187; https://doi.org/10.3390/futuretransp1020011 - 12 Jul 2021
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The extent of the deployment of Intelligent Transportation Systems (ITSs) for work zone construction projects has increased in recent years. However, highway agencies are unable to meet the full demand of the deployment of ITSs in work zones in a fiscally constrained environment.
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The extent of the deployment of Intelligent Transportation Systems (ITSs) for work zone construction projects has increased in recent years. However, highway agencies are unable to meet the full demand of the deployment of ITSs in work zones in a fiscally constrained environment. Therefore, it is desirable to establish guidelines to help highway agencies to consider installing ITS in work zones as funding becomes available. The goal of this research is to develop a methodology and guideline to assist project designers in assessing whether a particular work zone construction or maintenance project should be considered for the deployment of one or more ITSs. If so, the guideline would assist in determining the ITSs that would be most appropriate for the project. To achieve this goal, the researchers: (1) investigated technologies and evaluated different ITSs that could be used in work zone projects, (2) selected the criteria that would have to be evaluated to identify the eligible work zone projects for the deployment of ITSs, and (3) developed a selection methodology to assist project designers in selecting one or more work zone ITSs in order to be deployed in the project. The outcomes of this study provide a guideline for use in selecting and implementing ITSs for a work zone construction or maintenance project.
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Open AccessArticle
Using Radical Innovation to Overcome Utility Trade-Offs in Urban Rail Systems in Megalopoleis
Future Transp. 2021, 1(2), 154-168; https://doi.org/10.3390/futuretransp1020010 - 08 Jul 2021
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Urban mobility is increasingly becoming accepted as a basic human need, as socio-economic opportunities depend on the ability to reach places within an acceptable time. Conversely, the emergence of megalopoleis as dominant features of the global landscape has increased commuting effort to unprecedented
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Urban mobility is increasingly becoming accepted as a basic human need, as socio-economic opportunities depend on the ability to reach places within an acceptable time. Conversely, the emergence of megalopoleis as dominant features of the global landscape has increased commuting effort to unprecedented levels, due to the ever expanding urban areas and the associated travel distances. This now poses a risk to the efficient accessibility of cities, but there is an assumption that the problem can be overcome by increasing the speed of transport systems. However, advocates of this approach overlook important utility trade-offs that arise from the conflict between greater vehicle speeds and the additional time required to access the services. In this paper, we investigate this approach and show that higher speeds in metro systems do not always result in faster travel in cities. We then propose a new approach to addressing the problem, which culminates in a solution that can overcome the current paradoxes and increase door-to-door speeds more effectively. The resulting operational concept optimizes speed and coverage in urban rail systems in megalopoleis, accommodating the longer trips within time budgets. We position this research as a starting point to a new perspective on developing complex urban systems in the future.
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Open AccessArticle
Development and Evaluation of Simulation-Based Low Carbon Mobility Assessment Models
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Future Transp. 2021, 1(2), 134-153; https://doi.org/10.3390/futuretransp1020009 - 05 Jul 2021
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The transport sector is a significant contributor to global emissions. In Australia, it is the third largest source of greenhouse gases and is responsible for around 17% of emissions with passenger cars accounting for around half of all transport emissions. Governments at all
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The transport sector is a significant contributor to global emissions. In Australia, it is the third largest source of greenhouse gases and is responsible for around 17% of emissions with passenger cars accounting for around half of all transport emissions. Governments at all levels have identified a need for a reduction in transport carbon emissions to meet their net zero emissions targets. This research aims to help decision makers estimate the carbon footprint of transport networks within their jurisdictions and evaluate the impacts of emission-reduction interventions, through development of a simulation-based low carbon mobility assessment model. The model was developed based on a framework that integrates multiple mobility components including individual travel preferences, traffic simulation, and an assessment interface to create a seamless tool for the end-user. The feasibility of the assessment model was demonstrated in a case study for a local city council in Melbourne. In one of many scenarios reported in this paper, the model showed that maintaining current levels of emissions would require a 20% reduction in vehicle trips by 2030, and a much larger reduction would be required to reduce the levels of greenhouse gas emissions and achieve desired emissions reduction targets. The paper concludes with recommendations and future directions to extend the model’s capabilities and applications.
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Open AccessArticle
Spatially Disaggregated Car Ownership Prediction Using Deep Neural Networks
Future Transp. 2021, 1(1), 113-133; https://doi.org/10.3390/futuretransp1010008 - 20 Jun 2021
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Predicting car ownership patterns at high spatial resolution is key to understanding pathways for decarbonisation—via electrification and demand reduction—of the private vehicle fleet. As the factors widely understood to influence car ownership are highly interdependent, linearised regression models, which dominate previous work on
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Predicting car ownership patterns at high spatial resolution is key to understanding pathways for decarbonisation—via electrification and demand reduction—of the private vehicle fleet. As the factors widely understood to influence car ownership are highly interdependent, linearised regression models, which dominate previous work on spatially explicit car ownership modelling in the UK, have shortcomings in accurately predicting the relationship. This paper presents predictions of spatially disaggregated car ownership—and change in car ownership over time—in Great Britain (GB) using deep neural networks (NNs) with hyperparameter tuning. The inputs to the models are demographic, socio-economic and geographic datasets compiled at the level of Census Lower Super Output Areas (LSOAs)—areas covering between 300 and 600 households. It was found that when optimal hyperparameters are selected, these neural networks can predict car ownership with a mean absolute error of up to 29% lower than when formulating the same problem as a linear regression; the results from NN regression are also shown to outperform three other artificial intelligence (AI)-based methods: random forest, stochastic gradient descent and support vector regression. The methods presented in this paper could enhance the capability of transport/energy modelling frameworks in predicting the spatial distribution of vehicle fleets, particularly as demographics, socio-economics and the built environment—such as public transport availability and the provision of local amenities—evolve over time. A particularly relevant contribution of this method is that by coupling it with a technology dissipation model, it could be used to explore the possible effects of changing policy, behaviour and socio-economics on uptake pathways for electric vehicles —cited as a vital technology for meeting Net Zero greenhouse gas emissions by 2050.
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Open AccessArticle
Relationship between Cycling Infrastructure and Transportation Cycling in a Small Urban Area
Future Transp. 2021, 1(1), 99-112; https://doi.org/10.3390/futuretransp1010007 - 09 Jun 2021
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The role of infrastructure in encouraging transportation cycling in smaller cities with a low prevalence of cycling remains unclear. To investigate the relationship between the presence of infrastructure and transportation cycling in a small city (Lethbridge, AB, Canada), we interviewed 246 adults along
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The role of infrastructure in encouraging transportation cycling in smaller cities with a low prevalence of cycling remains unclear. To investigate the relationship between the presence of infrastructure and transportation cycling in a small city (Lethbridge, AB, Canada), we interviewed 246 adults along a recently-constructed bicycle boulevard and two comparison streets with no recent changes in cycling infrastructure. One comparison street had a separate multi-use path and the other had no cycling infrastructure. Questions addressed time spent cycling in the past week and 2 years prior and potential socio-demographic and psychosocial correlates of cycling, including safety concerns. Finally, we asked participants what could be done to make cycling safer and more attractive. We examined predictors of cycling using gender-stratified generalized linear models. Women interviewed along the street with a separate path reported cycling more than women on the other streets. A more favorable attitude towards cycling and greater habit strength were associated with more cycling in both men and women. Qualitative data revealed generally positive views about the bicycle boulevard, a need for education about sharing the road and for better cycling infrastructure in general. Our results suggest that, even in smaller cities, cycling infrastructure may encourage cycling, especially among women.
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Open AccessReview
Planning a Park and Ride System: A Literature Review
Future Transp. 2021, 1(1), 82-98; https://doi.org/10.3390/futuretransp1010006 - 19 May 2021
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The Park and Ride (P&R) system is integrated into the transport infrastructure of a city’s urban environment. P&R is an intermodal connection point between private vehicles and public transport, and therefore is considered a fundamental element in transport planning. The planning of a
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The Park and Ride (P&R) system is integrated into the transport infrastructure of a city’s urban environment. P&R is an intermodal connection point between private vehicles and public transport, and therefore is considered a fundamental element in transport planning. The planning of a P&R system is linked to numerous parameters related to transport planning, such as origin and purpose of travel in the P&R system, P&R location problem, P&R and potential demand, P&R and catchment area, P&R and public transport, and P&R in the future transportation (autonomous, electric vehicles). Thus, the planning process becomes essential for the successful implementation of the P&R system. However, most studies have shown each part of the planning process separately. Therefore, the researchers in this paper have conducted a comprehensive analysis of the available literature on P&R system planning, and studies that consider the planning sections separately are to be part of the complete research. In conclusion, the planning of P&R facilities should not be regarded as a separate mobility design element. Instead, it should be viewed as an essential component integrated into the city’s urban environment.
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Open AccessArticle
Exploring Generational Private Mobility Paradigm Shifts through Duration Modeling Analytics: A Greek Case Study
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Future Transp. 2021, 1(1), 54-81; https://doi.org/10.3390/futuretransp1010005 - 06 May 2021
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In this paper, we explore lifetime private mobility milestones in Greece and identify the factors that affect them, to explore the everchanging mobility landscape. In total, five archetypal private mobility milestones were examined: the age of getting a car driving license and the
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In this paper, we explore lifetime private mobility milestones in Greece and identify the factors that affect them, to explore the everchanging mobility landscape. In total, five archetypal private mobility milestones were examined: the age of getting a car driving license and the period until getting a car following that; the age of getting a motorbike driving license; the age of getting a first bicycle as an adult; and the age of first traveling by airplane. To this end, duration modeling and namely Kaplan-Meier and Cox Proportional Hazards models were developed. Results show that mobility paradigms are evolving and are affected by a wide array of factors. Generational differences are particularly highlighted, as younger travelers are less likely to get a car driving license or a car sooner but are more likely to get a bicycle as adults. Higher parents’ income diversely affects multiple mobility milestones. Growing up in rural locations and sustainable transport awareness also significantly affect mode choice related mobility milestones. Men were more likely to get both car and motorbike driving licenses at younger ages. The above results highlight the mobility profiles of Greek citizens and the factors that affect them, while offering insights into a future mobility landscape.
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Open AccessArticle
Integration of Free Floating Car Sharing Systems in Rail Stations: A Web Based Data Analysis
Future Transp. 2021, 1(1), 38-53; https://doi.org/10.3390/futuretransp1010004 - 09 Apr 2021
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In the last decades, car sharing has been a tool for city planners to reduce private car traffic and pollution in big urban areas. The emergence of the ICTs (Information and Communication Technologies), together with the development of the collaborative economy, has allowed
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In the last decades, car sharing has been a tool for city planners to reduce private car traffic and pollution in big urban areas. The emergence of the ICTs (Information and Communication Technologies), together with the development of the collaborative economy, has allowed for the birth of the new Free-Floating Carsharing (FFCS): A more flexible type of carsharing, in which electric cars can be used. Little research has been devoted using real FFCS flows data, to the FFCS impacts on user behavior and even on the public transport system thus far. Furthermore, in big metropolitan areas, central rail stations should promote modal interchanges, including new modes of electric FFCS systems. The aim of this paper is to design a web-based platform to collect and analyze FFCS demand on the surrounding areas of rail stations and makes a proposal to provide these systems with electrical recharging energy obtained from the regenerative braking of high-speed trains. This case study includes Atocha and Chamartín Central Stations in Madrid (Spain). Scientific evidence shows a high demand of FFCS cars at central rail stations and a trip profile with a short time duration linked to the closest districts of rail stations.
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Open AccessArticle
Short-Term Traffic Forecasting: An LSTM Network for Spatial-Temporal Speed Prediction
Future Transp. 2021, 1(1), 21-37; https://doi.org/10.3390/futuretransp1010003 - 30 Mar 2021
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Traffic forecasting remains an active area of research in the transport and data science fields. Decision-makers rely on traffic forecasting models for both policy-making and operational management of transport facilities. The wealth of spatial and temporal real-time data increasingly available from traffic sensors
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Traffic forecasting remains an active area of research in the transport and data science fields. Decision-makers rely on traffic forecasting models for both policy-making and operational management of transport facilities. The wealth of spatial and temporal real-time data increasingly available from traffic sensors on roads provides a valuable source of information for policymakers. This paper adopts the Long Short-Term Memory (LSTM) recurrent neural network to predict speed by considering both the spatial and temporal characteristics of real-time sensor data. A total of 288,653 real-life traffic measurements were collected from detector stations on the Eastern Freeway in Melbourne/Australia. A comparative performance analysis among different models such as the Recurrent Neural Network (RNN) that has an internal memory that is able to remember its inputs and Deep Learning Backpropagation (DLBP) neural network approaches are also reported. The LSTM results showed average accuracies in the outbound direction ranging between 88 and 99 percent over prediction horizons between 5 and 60 min, and average accuracies between 96 and 98 percent in the inbound direction. The models also showed resilience in accuracies as the prediction horizons increased spatially for distances up to 15 km, providing a remarkable performance compared to other models tested. These results demonstrate the superior performance of LSTM models in capturing the spatial and temporal traffic dynamics, providing decision-makers with robust models to plan and manage transport facilities more effectively.
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Open AccessFeature PaperArticle
A COVID-19 Public Transport Frequency Setting Model That Includes Short-Turning Options
Future Transp. 2021, 1(1), 3-20; https://doi.org/10.3390/futuretransp1010002 - 29 Mar 2021
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The COVID-19 pandemic has had an enormous impact on the public transport sector. After the start of the pandemic, passenger demand dropped significantly for public transport services. In addition, social distancing measures have resulted in introducing pandemic-imposed capacity limitations to public transport vehicles.
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The COVID-19 pandemic has had an enormous impact on the public transport sector. After the start of the pandemic, passenger demand dropped significantly for public transport services. In addition, social distancing measures have resulted in introducing pandemic-imposed capacity limitations to public transport vehicles. Consequently, public transport operators should adjust their planning to minimize the impact of the COVID-19 pandemic. This study introduces a mixed-integer quadratic program that sets the optimal frequencies of public transport lines and sublines in order to conform with the pandemic-imposed capacity. The focus is on cases where the public transport demand is high, but the crowding levels inside public transport vehicles should remain below the pandemic-imposed capacities. Of particular interest are public transport lines with skewed demand profiles that can benefit from the introduction of short-turning sublines that serve the high-demand line segments. The frequency setting model is tested on a network containing two high-demand bus lines in the Twente region in the Netherlands, and it demonstrates that the revenue losses due to social distancing can be reduced when implementing short-turning service patterns.
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Open AccessEditorial
Future Transportation—An Open Access Journal
Future Transp. 2021, 1(1), 1-2; https://doi.org/10.3390/futuretransp1010001 - 29 Mar 2021
Abstract
Transportation is an indispensable link for human progress, and essential to the development of civilizations [...]
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