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

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

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Future Transportation futuretransp	-	-	2021	19.2 Days	CHF 1000	Submit
Logistics logistics	3.8	5.1	2017	23.2 Days	CHF 1200	Submit
Smart Cities smartcities	6.4	8.5	2018	16.5 Days	CHF 1400	Submit
Sustainability sustainability	3.9	5.8	2009	18.3 Days	CHF 2400	Submit
Urban Science urbansci	2.0	4.5	2017	23.7 Days	CHF 1200	Submit
Vehicles vehicles	2.2	2.9	2019	19.1 Days	CHF 1400	Submit

Published Papers (9 papers)

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All Future Transportation Logistics Smart Cities Sustainability Urban Science Vehicles

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Open AccessArticle

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 434

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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

Viewed by 879

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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 1020

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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 767

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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 827

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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

Viewed by 809

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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 3 | Viewed by 1074

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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 5 | Viewed by 3048

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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Open AccessArticle

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

Viewed by 1280

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

(This article belongs to the Topic Sustainable Transport Systems and New Mobility Services: Challenges and Solutions, 2nd Volume)

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