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Sustainable Transportation and Infrastructure Systems
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Sustainable Transportation and Infrastructure Systems

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

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 13335

Special Issue Editor

Prof. Ardeshir Faghri

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering Faculty at University of Delaware, Newark, United States
Interests: infrastructure systems; sustainability; transportation

Special Issue Information

Dear Colleagues,

For thousands of years, transportation has been viewed solely as a means of human/cargo mobility. However, in the 21st century, the effects of transportation are being felt on all aspects of human life. Countries all over the world are paying more attention to the safety and the environmental toll that transportation systems take on their societies. Many transportation projects are not funded unless they are tied to economic improvements and jobs creation. Energy consumption of the transportation sector and its social, political, and economic impacts are on the news on an almost daily basis. Finally, the correlation between transportation and human health (physical and psychological) is being studied more and more by researchers.

In this Special Issue of the journal of Sustainability, papers are sought encompassing a wide range of topics covering the environmental, social, and economic sustainability of the transportation and infrastructure systems. Topics of Interest include (but are not limited to) planning, designing, constructing, controlling, operating, maintaining, and managing multimodal transportation and infrastructure systems. Transportation modes include all surface, air, and water modes and cover both passenger and freight mobility. The specific list of topics includes:

Transportation safety and security

Climate change

Energy

Finance and economy

Physical and psychological health

Environmental justice

Transportation equity

Complete streets and complete communities

Micromobility policies and regulations

Prof. Ardeshir Faghri
Guest Editor

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

  • climate change
  • energy
  • finance and economyl physical and psychological health
  • environmental justice
  • transportation equity

Published Papers (6 papers)

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Research

17 pages, 750 KiB  
Article
Review of Financing Mechanisms to Promote Decarbonization Alternatives in Rail and Inland Waterway Transport
by Clara Paola Camargo-Díaz, Edwin Paipa-Sanabria, Julian Andres Zapata-Cortes, Andres Mauricio Briceño-Chaves and Cristian Fernando Serna-Castaño
Sustainability 2023, 15(2), 966; https://0-doi-org.brum.beds.ac.uk/10.3390/su15020966 - 05 Jan 2023
Cited by 3 | Viewed by 1582
Abstract
The financial market has a strong influence on supporting the transition to a zero-emission transport system, as this sector requires large investments to implement low-emission technologies and infrastructure and to promote intermodality. This article presents the results obtained from a literature review on [...] Read more.
The financial market has a strong influence on supporting the transition to a zero-emission transport system, as this sector requires large investments to implement low-emission technologies and infrastructure and to promote intermodality. This article presents the results obtained from a literature review on the financing mechanisms that have been used in different countries to finance alternatives to decarbonization in rail and inland waterway modes. For this purpose, databases such as Google Scholar, Scopus, MDPI, websites of governments and other related organizations were reviewed. Over 240 sources of information from articles and documents focusing on green finance in rail and inland waterway modes were reviewed. Our study identified many gaps in the literature on green transport financing. We also identified that in the databases consulted, it was possible to obtain more academic sources related to rail transport than inland waterway transport. Finally, an analysis is made of how implementation projects in the rail and inland waterway modes have been financed in Colombia. Full article
(This article belongs to the Special Issue Sustainable Transportation and Infrastructure Systems)
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12 pages, 255 KiB  
Article
Analysis of the Efficiency of Transport Infrastructure Connectivity and Trade
by Narthsirinth Netirith and Mingjun Ji
Sustainability 2022, 14(15), 9613; https://0-doi-org.brum.beds.ac.uk/10.3390/su14159613 - 04 Aug 2022
Cited by 5 | Viewed by 2140
Abstract
Analyzing the efficiency of transport infrastructure connectivity and trade in the Regional Comprehensive Economic Partnership (RCEP) is very important for regional integration for international trade in the RCEP. This study aims to significantly measure the efficiency of the connectivity of infrastructure in the [...] Read more.
Analyzing the efficiency of transport infrastructure connectivity and trade in the Regional Comprehensive Economic Partnership (RCEP) is very important for regional integration for international trade in the RCEP. This study aims to significantly measure the efficiency of the connectivity of infrastructure in the RCEP for improving the performance of infrastructure connection and suggest the way to improve the connection of infrastructure. Therefore, the input and output variables of infrastructure connectivity have been inserted to achieve this objective. The inputs are: the number of ports, rail range, and road networks, the number of land borders, the number of maritime borders, number of cross border points, railway linkage with other countries, number of ports connected with railways, and the number of ports connected with road base on the “intermodal and multimodal concept”. On the other hand, the output factors most related to trade and economics are GDP, transport, import, and export volume. The paper applied DEA (Data Envelopment Analysis) model by using DEAP software to analyze the data. The result reveals that the efficiency of infrastructures connectivity and international trade in 10 countries were efficient and 5 countries were inefficient. The research study presents ways of development to improve the connectivity by investing in the basic infrastructures, such as increasing the logistics connection points and driving forward for international trade in the RCEP. Full article
(This article belongs to the Special Issue Sustainable Transportation and Infrastructure Systems)
22 pages, 45280 KiB  
Article
A Practical and Sustainable Approach to Determining the Deployment Priorities of Automatic Vehicle Identification Sensors
by Dongya Li, Wei Wang and De Zhao
Sustainability 2022, 14(15), 9474; https://0-doi-org.brum.beds.ac.uk/10.3390/su14159474 - 02 Aug 2022
Cited by 1 | Viewed by 1109
Abstract
Monitoring vehicles’ paths is important for the management and governance of smart sustainable cities, where traffic sensors play a significant role. As a typical sensor, an automatic vehicle identification (AVI) sensor can observe the whereabouts and movements of vehicles. In this article, we [...] Read more.
Monitoring vehicles’ paths is important for the management and governance of smart sustainable cities, where traffic sensors play a significant role. As a typical sensor, an automatic vehicle identification (AVI) sensor can observe the whereabouts and movements of vehicles. In this article, we introduced an indicator called the deployment score to present the deployment priorities of AVIs for a better reconstruction of vehicles’ paths. The deployment score was obtained based on a programming method for maximizing the accuracy of a recurring vehicle’s path and minimizing the number of AVI sensors. The calculation process is data-driven, where a random-work method was developed to simulate massive path data (tracks of vehicles) according to travel characteristics extracted from finite GPS data. Then, for each simulated path, a path-level bi-level programming model (P-BPM) was constructed to find the optimal layout of the AVI sensors. The solutions of the P-BPM proved to be approximate Pareto optima from a data-driven perspective. Furthermore, the PageRank method was presented to integrate the solutions; thus, the deployment score was obtained. The proposed method was validated in Chengdu City, whose results demonstrated the remarkable value of our approach. Full article
(This article belongs to the Special Issue Sustainable Transportation and Infrastructure Systems)
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30 pages, 8731 KiB  
Article
Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections
by Suhaib Alshayeb, Aleksandar Stevanovic and Nemanja Dobrota
Sustainability 2021, 13(18), 10037; https://0-doi-org.brum.beds.ac.uk/10.3390/su131810037 - 08 Sep 2021
Cited by 11 | Viewed by 2471
Abstract
Sustainability has become one of the most important goals when optimizing traffic signals. This goal is achieved through utilizing various objective functions to reduce sustainability metrics (e.g., fuel consumption and emissions). However, most available objective functions do not distinguish between the reduction mechanism [...] Read more.
Sustainability has become one of the most important goals when optimizing traffic signals. This goal is achieved through utilizing various objective functions to reduce sustainability metrics (e.g., fuel consumption and emissions). However, most available objective functions do not distinguish between the reduction mechanism of various types of emissions. Further, such functions do not consider the compound impact of multiple operational conditions (e.g., road gradient) influencing emissions on the optimized signal plans. This study derives a new Environmental Performance Index representing a surrogate measure for emission estimates that can be used as an objective function in signal timings optimization to reduce emissions under various operational conditions. The Environmental Performance Index is a linear combination of delays and stops. The key factor of the Environmental Performance Index is the emissions-based stop penalty, which represents an emission stop equivalency measured in seconds of delay. This study also uses traffic simulation and emission models to investigate the compound impact of several operational conditions on the stop penalty. Results show that the stop penalty varies significantly with all the investigated conditions and that the stop penalty is unique for different types of emissions. These findings may have significant implications on the current practice of sustainable signal timing optimization. Full article
(This article belongs to the Special Issue Sustainable Transportation and Infrastructure Systems)
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11 pages, 1859 KiB  
Article
A GIS-CA Model for Planning Bikeways upon the Footpath Network
by Xu Zhao, Jie Zhang, Ning Zhang, Yiik Diew Wong, Yufang Zhou and Meng Meng
Sustainability 2021, 13(16), 8926; https://0-doi-org.brum.beds.ac.uk/10.3390/su13168926 - 10 Aug 2021
Cited by 4 | Viewed by 2308
Abstract
This study proposes a geographic information system (GIS)-based cellular automata (CA) model, which is designed for planning bikeways upon existing footpath networks within an urban area. The CA model was developed based on a GIS platform as a visual interface whereby spatiotemporal characteristics [...] Read more.
This study proposes a geographic information system (GIS)-based cellular automata (CA) model, which is designed for planning bikeways upon existing footpath networks within an urban area. The CA model was developed based on a GIS platform as a visual interface whereby spatiotemporal characteristics and spatial processing can be combined in a highly effective way. The host value of each CA cell is conditioned upon four indicator variables, namely cycling demand level, land-use nature, social value, and traffic safety. This model gives traffic planners a quick and intuitive framework to develop cycling facilities under limited land resources. A model prototype has been developed in a common desktop GIS and applied to a mid-sized rapidly developing area in Singapore. Full article
(This article belongs to the Special Issue Sustainable Transportation and Infrastructure Systems)
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17 pages, 304 KiB  
Article
Bike Share Equity for Underrepresented Groups: Analyzing Barriers to System Usage in Baltimore, Maryland
by Susan Hull Grasso, Philip Barnes and Celeste Chavis
Sustainability 2020, 12(18), 7600; https://0-doi-org.brum.beds.ac.uk/10.3390/su12187600 - 15 Sep 2020
Cited by 11 | Viewed by 2709
Abstract
Bike share systems are a standard feature of the urban mobility ecosystem but they have received criticism for serving a narrow demographic band of residents and visitors while underrepresenting others. This analysis employed Chi-square and multivariate linear regression analyses to understand effect sizes [...] Read more.
Bike share systems are a standard feature of the urban mobility ecosystem but they have received criticism for serving a narrow demographic band of residents and visitors while underrepresenting others. This analysis employed Chi-square and multivariate linear regression analyses to understand effect sizes associated with how various demographic groups in Baltimore, MD perceive barriers to utilizing the city’s new Baltimore Bike Share (BBS) system. The analysis revealed that people of color, Hispanics, the less-educated, females, low income earners, and the unemployed are underrepresented in system membership. Regression analysis of non-user survey data suggested that nonwhite individuals are associated with a moderate increase in perceiving BBS to be challenging when riding with children or cargo. Being female is associated with concerns about system use, the ability to ride comfortably, maintaining personal hygiene, being a victim of crime or harassment, and an overall lack of interest in biking in Baltimore. Identifying as having low income or less education was not observed to be associated with any of the barrier conditions examined in this study. These findings can be leveraged to develop programs and policies to improve participation rates within underrepresented groups and enhance system equity. Full article
(This article belongs to the Special Issue Sustainable Transportation and Infrastructure Systems)
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