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A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 10529

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Special Issue Editors

Prof. Dr. Hongfei Jia

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Guest Editor

Transportation College, Jilin University, Changchun 130022, China
Interests: transportation sustainability; traffic network analysis; integrated transportation system planning; connected and autonomous vehicles

Dr. Anning Ni

E-Mail Website
Guest Editor

Transportation Engineering Department, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: transportation system planning and optimization; transportation system modeling and simulation; smart transportation system

Special Issue Information

Dear Colleagues,

Recent transportation systems have presented many emerging features on both the supply and demand sides. The innovations in electric vehicles, shared vehicles, connected vehicles, and autonomous driving, coupled with increasing green, efficient, convenient and economical travel needs, pose additional opportunities and challenges for sustainable transportation planning and management. With vehicle technological innovation, telematics, and the application of big data, advanced system planning has the potential to achieve sustainable and smarter mobility.

In this Special Issue, we invite any original research and review articles disseminating innovative and sustainable approaches to transportation planning and management. Research areas may include (but are not limited to) the following:

Sustainable transportation system planning;
Sustainable transportation mode promoting;
Sustainable transport policy and environment;
Smart transportation management;
Planning and management for autonomous vehicles;
Planning and management for shared travel modes;
Travel behavior analysis and modeling;
Slow traffic improvements;
Elderly-oriented and barrier-free transportation systems.

We look forward to receiving your contributions.

Prof. Dr. Hongfei Jia
Dr. Anning Ni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

sustainable transportation planning
smart transportation management
green travel behavior

Published Papers (11 papers)

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Research

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20 pages, 11687 KiB

Open AccessArticle

Analyzing the Impacts of Land Use and Network Features on Passenger Flow Distribution at Urban Rail Stations from a Classification Perspective

by Yuliang Guo, Zhenjun Zhu, Xiaohong Jiang, Ting Chen and Qing Li

Sustainability 2024, 16(9), 3568; https://doi.org/10.3390/su16093568 - 24 Apr 2024

Viewed by 254

Abstract

This study employed big data analytics to investigate the impacts of land use and network features on passenger flow distribution at urban rail stations. The aim was to provide decision support for differentiated operational management strategies for various types of rail stations, thereby achieving refined operation and the sustainable development of urban rail systems. First, this study compared clustering results using different similarity measurement functions within the K-means algorithm framework, selecting the optimal similarity measurement function to construct clustering models. Second, factors influencing passenger flow distribution were selected from land use and network features, forming a feature set that when combined with clustering model results, served as input for the XGBoost model to analyze the relationship between various features and the station passenger flow distribution. The case study showed that (1) the clustering results using a dynamic time-warping distance as the similarity measurement function was optimal; (2) the results of the XGBoost model highlighted commercial services and closeness centrality as the most important factors that affected rail station passenger flow distribution; (3) urban rail stations in Nanjing could be categorized into four types: “strong traffic attraction stations”, “balanced traffic attraction stations”, “suburban strong traffic occurrence stations”, and “distant suburban strong traffic occurrence stations”. Differentiated operational and management strategies were developed for these station types. This paper offers a novel approach for enhancing the operational management of urban rail transit, which not only boosts operational efficiency but also aligns with the goals of sustainable development by promoting resource-efficient transportation solutions. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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20 pages, 3219 KiB

Open AccessArticle

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

by Senlai Zhu, Hantao Yu and Congjun Fan

Sustainability 2024, 16(4), 1611; https://doi.org/10.3390/su16041611 - 15 Feb 2024

Viewed by 457

Abstract

To alleviate traffic congestion, it is necessary to effectively manage traffic bottlenecks. In existing research, travel demand prediction for traffic bottlenecks is based on travel behavior assumptions, and prediction accuracy is low in practice. Thus, the effect of traffic bottleneck management strategies cannot be guaranteed. Management strategies are often mandatory, leading to problems such as unfairness and low social acceptance. To address such issues, this paper proposes managing traffic bottlenecks based on shared travel plans. To solve the information security and privacy problems caused by travel plan sharing and achieve information transparency, travel plans are shared and regulated by blockchain technology. To optimize the operation level of traffic bottlenecks, travel plan regulation models under scenarios where all/some travelers share travel plans are proposed and formulated as linear programming models, and these models are integrated into the blockchain with smart contract technology. Furthermore, travel plan regulation models are tested and verified using traffic flow data from the Su-Tong Yangtze River Highway Bridge, China. The results indicate that the proposed travel plan regulation models are effective for alleviating traffic congestion. The vehicle transfer rate and total delay rate increase as the degree of total demand increases; the vehicle transfer rate increases as the length of the time interval decreases; and the vehicle transfer rate and total delay rate increase as the number of vehicles not sharing their travel plans increases. By using the model and method proposed in this paper, the sustainability of urban economy, society, and environment can be promoted. However, there are many practical situations that have not been considered in this paper, such as multiple entry and exit bottlenecks, multiple travel modes, and other control strategies. In addition, this paper considers only one bottleneck rather than road networks because of the throughput limitations of blockchain technology. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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17 pages, 2413 KiB

Open AccessArticle

Modeling Parking Choice Behavior Using Cumulative Prospect Theory

by Yang Cao, Yifan Ren, Hongfei Jia, Mingze Sun and Zebo Dali

Sustainability 2024, 16(4), 1596; https://doi.org/10.3390/su16041596 - 14 Feb 2024

Viewed by 701

Abstract

In order to capture the driver’s attitude and preference towards risk during the decision-making process, this paper establishes a parking choice model considering driver heterogeneity based on the cumulative prospect theory. This research innovatively considers the influence of the unreliability of cruise time on drivers’ parking choice behavior and adds the psychological cost of drivers’ anxiety caused by lateness into the model. At the same time, according to the driver’s parking preference for parking, the latent category model is used to divide the driver into time-sensitive and money-sensitive categories. This paper analyzes the influence of unreliable cruising time on drivers’ parking choice behavior and finds that drivers have the characteristics of overestimating high-probability events and underestimating low-probability events in the decision-making process. By comparing the parking choice results of rational and irrational drivers, it is found that the model considering the risk attitude of drivers in the decision-making process is more in line with reality. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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33 pages, 2875 KiB

Open AccessArticle

Methodological Framework for Sustainable Transport Corridor Modeling Using Petri Nets

by Igor Kabashkin and Zura Sansyzbayeva

Sustainability 2024, 16(2), 489; https://doi.org/10.3390/su16020489 - 05 Jan 2024

Viewed by 1069

Abstract

Current models for evaluating sustainable transport corridors often lack a comprehensive framework capturing the multifaceted performance measures vital for holistic assessment especially at the early stages of operation, when detailed information on the performance indicators of these transport corridors is not available. This gap motivates a Petri net-based modeling approach that integrates key sustainability indicators into a flexible simulation tool. This paper details a versatile methodology harnessing Petri nets, specifically Evaluation Petri nets (E-Nets), to assess corridor sustainability across environmental, social, and economic dimensions. The proposed framework equips planners and policymakers to explore diverse green corridor configurations under varying conditions. Case studies showcase the model’s capabilities in analyzing real-world corridors, identifying performance bottlenecks, and comparing alternative solutions. The model provides a practical decision-support tool to strengthen strategies for efficient, socially responsible, and environmentally sound transport infrastructure. This research advances the theoretical foundations and demonstrates the practical value of Petri nets as an enabling methodology for modeling the intricate dynamics of sustainable transport corridors. This paper demonstrates how E-Nets provide a visual and quantitative representation of transport operations, enabling stakeholders to identify inefficiencies and potential improvements. This paper discusses the theoretical underpinnings of the E-Net modeling of transport corridors, the advantages and limitations of its application, and suggests avenues for future research to enhance the model’s predictive power and real-world application. The paper concludes that the E-Net approach is a scalable, adaptable tool that can significantly con-tribute to the sustainable development of international transport corridors, providing a framework for continuous improvement in alignment with global sustainability objectives. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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16 pages, 1800 KiB

Open AccessArticle

A Charging Planning Method for Shared Electric Vehicles with the Collaboration of Mobile and Fixed Facilities

by Qingyu Luo, Zhihao Ye and Hongfei Jia

Sustainability 2023, 15(22), 16107; https://doi.org/10.3390/su152216107 - 20 Nov 2023

Viewed by 679

Abstract

Faced with the charging difficulties of free-floating shared electric vehicles and the high cost of single-demand mobile charging, this paper proposes a cooperative charging planning method based on the complementary advantages of fixed charging stations and mobile charging vehicles, which can charge shared electric vehicles more efficiently and reduce the charging cost at the same time. A bi-level programming model for fixed and mobile cooperative charging is constructed. The upper level of the model is the system charging total cost minimization model, which searches for the optimal charging scheme and number of mobile charging vehicles. The lower level model is a fixed and mobile cooperative charging path planning model, which calculates the optimal routes for the mobile charging vehicles and the shared electric vehicles that need to be transferred to the fixed charging station. The example results show that the cost of the proposed fixed-mobile cooperative charging scheme is reduced by 12.6% when compared to the fixed-only charging scheme, and by 14.9% when compared to the mobile-only charging scheme. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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23 pages, 7031 KiB

Open AccessArticle

Collaborative Development and Transportation Volume Regulation Strategy for an Urban Agglomeration

by Shuoqi Wang and Zhanzhong Wang

Sustainability 2023, 15(20), 14742; https://doi.org/10.3390/su152014742 - 11 Oct 2023

Viewed by 634

Abstract

Transportation plays an important role in urban development and the formation of urban agglomerations. Indexes including urban centrality, urban development intensity, and degree of urban development imbalance are defined to measure the level of urban development, and are taken as the basis for transportation regulation within urban agglomerations. Regulation of transportation volume is divided into static and dynamic regulation, and this paper studies static regulation. There are two purposes for static regulation. One is to solve the problems of unbalanced urban development and collaborative development, and the other is to solve the problem of rational utilization of the highway transport network in an urban agglomeration so that the total transportation volume of the urban agglomeration does not exceed the total transportation volume that the transport network can bear, realizing coordinated transport, improving transport efficiency, and reducing traffic congestion and traffic accidents. A distributed intelligent regulation model based on the principle of game control is proposed, which is divided into three layers: macro-regulation (government layer), meso-regulation (urban agglomeration layer), and micro-regulation (individual city game layer). The regulation strategies and methods of the urban agglomeration layer and individual city game layer are given, and are verified and illustrated using as the research object called the Jilin Province urban agglomeration in the northeast of China. The paper contributes to the field by presenting innovative research and provides important theories and methods for collaborative development and transportation within urban agglomerations. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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16 pages, 5851 KiB

Open AccessArticle

Study on the Relationship between the Spatial Distribution of Shared Bicycle Travel Demand and Urban Built Environment

by Lili Yang, Simeng Fei, Hongfei Jia, Jingdong Qi, Luyao Wang and Xinning Hu

Sustainability 2023, 15(18), 13576; https://doi.org/10.3390/su151813576 - 11 Sep 2023

Cited by 2 | Viewed by 852

Abstract

As a green and sustainable trip mode, shared bicycles play an essential role in completing short-distance trips in cities. This paper proposes a method to analyze the impact of the urban built environment on the distribution of shared bicycles in a small-scale space. First, the Fishnet function of ArcGIS is utilized to divide the study area into grids of 500 m × 500 m. Then, three indicators are proposed to describe the characteristics of the urban built environment, including point of information (POI) comprehensive index, the intensity of public transportation coverage, spatial accessibility, providing them the ways to be assigned to the grids. Finally, the multivariable linear regression model and support vector regression (SVR) models are applied to reveal the impacts of built environment factors on the spatial distribution of shared bicycles. Results show that SVR models based on linear kernel function, Gaussian radial basis kernel function, and Polynomial kernel function can achieve better analysis results. The SVR model based on the Gaussian radial basis function shows higher explanatory power (adjusted

R^{2}

= 0.978) than the multivariable linear regression model (adjusted

R^{2}

= 0.847). This paper can aid in understanding the demand and supply of shared bicycles and help operators or governments to improve service quality. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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21 pages, 945 KiB

Open AccessArticle

Design, Simulation and Performance Evaluation of a Risk-Based Border Management System

by Aishvarya Kumar Jain, Jaap de Ruiter, Ivo Häring, Mirjam Fehling-Kaschek and Alexander Stolz

Sustainability 2023, 15(17), 12991; https://doi.org/10.3390/su151712991 - 29 Aug 2023

Cited by 1 | Viewed by 878

Abstract

Border control systems at Europe’s Schengen (and worldwide) borders are necessary to mitigate cross-border threats, but are perceived as free-traveling bottlenecks. Today’s applicable European regulations demand rule-based control schemes and do not allow risk-based elements. A policy shift towards risk-based border control has been considered in several studies and research (including HEU projects). However, there is a lack of scientific evidence on how they compare with existing rule-based schemes. This paper aims to fill that gap. The simulation allows design of a realistic border control system. The passenger flow is modeled via travelers with good and bad intents. The border control system includes decision-making elements to classify travelers into risk groups. System elements including operators and their interaction were modeled in terms of statistical distributions based on the subject matter experts’ input. The performance is estimated across security effectiveness, resource usage, passenger flow, and traveler experience. Assessment of a set of simulations reveals better scalability of risk-based systems in terms of resource usage and passenger flow. The potential factors to improve the detection rate of the border control process are also studied. Despite having several benefits, the model demonstrates that social acceptance of the risk-based system is the limiting factor for increased scalability. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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22 pages, 10643 KiB

Open AccessArticle

Estimating Public Transportation Accessibility in Metropolitan Areas: A Case Study and Comparative Analysis

by Haitao Su, Menghan Li, Xiaofeng Zhong, Kai Zhang and Jingkai Wang

Sustainability 2023, 15(17), 12873; https://doi.org/10.3390/su151712873 - 25 Aug 2023

Viewed by 1426

Abstract

Accessibility-oriented public transportation planning can improve the operational efficiency of public transportation, guide orderly urban development, and alleviate issues such as traffic congestion, environmental pollution, and resource consumption in large cities. To promote the practical application and widespread adoption of public transportation accessibility estimating systems, this study proposes an improved public transport accessibility levels (PTAL) method. It innovatively incorporates residents’ preference indices for different modes of transportation and addresses the challenge of missing timetable data in the calculation process. Using actual data from Shenzhen, a case study is conducted to analyze the public transportation accessibility index and compare the results obtained through k-means clustering, the equal spacing method, the quantile method, and the application of the London PTAL method. The research findings indicate that the optimal number of clusters for public transportation accessibility index analysis in large cities is six when using clustering algorithms. Among the statistical analysis methods, the quantile method shows favorable performance. Furthermore, a comprehensive comparison of different classification methods confirms that the improved PTAL method offers better discrimination in estimating public transportation accessibility levels compared to the London PTAL method. The study concludes by providing guidance on how cities with different characteristics can reference the improved PTAL method. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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19 pages, 3835 KiB

Open AccessArticle

Exploring the Influence of Parking Penalties on Bike-Sharing System with Willingness Constraints: A Case Study of Beijing, China

by Jiayu Bao, Guojun Chen and Zhenghua Liu

Sustainability 2023, 15(16), 12526; https://doi.org/10.3390/su151612526 - 17 Aug 2023

Viewed by 1038

Abstract

Dockless bike-sharing has experienced explosive growth, establishing itself as an integral component of urban public transport systems. Challenges such as parking violations have spurred operators and users to pursue standardized management. While electronic parking spots are employed to promote standard parking, suboptimal parking layouts can lead to illegal parking. Inadequate post-violation penalties fail to achieve standard parking, while excessive punishment diminishes user engagement. This study combines parking spot density and penalties to incentivize standard parking, and Beijing, China, was selected as the research object. Using an SP questionnaire survey, a binary logistic model analyzes bike-sharing users’ standard parking behavior and willingness to adhere to different rules. Findings reveal that optimal walking distances range from 300 to 450 m for service levels and exceed 400 m for service efficiency. Influential factors include gender, age, occupation, usage behavior, and travel preferences. Users with high-frequency, low-convenience expectations, low travel costs, and flexible travel exhibit strong adherence. Additionally, user acceptance of the maximum distances without penalties follows an exponential distribution, with 80% accepting 400 m and 40% accepting 800 m. Enforcement has a visible effect within 300 m, but diminishes with longer distances. Excessive penalties result in significant user loss. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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Review

Jump to: Research

27 pages, 6453 KiB

Open AccessReview

Need of Integrated Regional Planning Approach for the Decentralisation and Optimisation of Renewable Energy Based Electric Vehicle Infrastructure: A Comprehensive Visualisation

by Geetanjli Rani and Devender Kumar Saini

Sustainability 2023, 15(18), 13315; https://doi.org/10.3390/su151813315 - 05 Sep 2023

Viewed by 1241

Abstract

The existing research narrates avenues in the regional and thematic area preconditions set via the framework and institutional mechanism towards energy decentralisation (ED). Moreover, with the entrant stakeholders and inclusive energy policy, the researchers find potential in local resources and capacity towards the decarbonisation of the economy. Consequently, governments around the globe emphasise multi-level sectoral economic support packages to buffer the immediate to medium-term gap and subsequently investigate their implementation in infrastructure and technology. The present review attempts to focus on the conditions of energy transformation in enabling a policy and regulatory framework. As such an integrated regional spatial framework focuses to identify support packages across urban and rural planning, transportation, renewable energy, infrastructure, environment and climate change and sustainability. Moreover, the present review revolves its thematic focus around the transport sector to strategize the energy decentralisation of the local potential in the ongoing electric vehicle (EV) transportation. The presented review toils on EV users’ struggle to orient to the need of the hour in the inadequacies of refill/charging infrastructure. Thus, it is imperative to review parameters such as availability and access to charge, depending on the source of energy in the charging infrastructure, facilities and services at the regional level. The presented review investigates under categoric and key search across conceptual regional settlement hierarchy to strategize the development of the Renewable Energy based Electric Vehicle Infrastructure (REEVI) package under system, support and services (SSS). Conclusively, the review study brings out a tentative regional settlement hierarchical integrated methodology for REEVI-SSS in the missing linkages and gaps of spatial planning to ease medium and long trip EV transportation challenges faced at the inter-city–rural, i.e., regional level. Full article

(This article belongs to the Special Issue Advances in Transportation Planning and Management)

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