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Human-Technology Interaction in the Use of Newly Emerging Sustainable Transportation Solutions

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 38381

Special Issue Editors


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Guest Editor
Traffic Section, Business School, Nord University, Stjørdal, Norway
Interests: psychological factors related to the use of sustainable transportation modes; road user behaviors and attitudes; cultural differences in traffic safety

E-Mail
Guest Editor
Traffic Section, Business School, Nord University, Stjørdal, Norway
Interests: road design; operative speed models; mobility as a service; ITS; autonomous vehicles; sustainability in transportation

Special Issue Information

Dear Colleagues,

There has been a rapid increase in the development and use of new sustainable transportation modes, as they provide clear benefits for the environment, traffic safety and mobility. In recent years, electric vehicles (EVs) have emerged as a sustainable transportation option that contributes to the reduction of environmental problems and provides several benefits for the users. In addition to EVs, there is also a growing interest in the development and use of autonomous vehicles (AVs) that have the potential to reduce congestions, greenhouse gas emissions, vehicle usage, and energy use. At the same time, AVs could induce a dramatic increase in traffic, vehicle usage, and emissions if not rationaly planned. In parallel to the rapid development of AVs and EVs, there is also a growing research interest both for technology development and understanding users’ experience related to these newly emerging vehicles. Although there is an increasing number of studies focusing on the user perspective, studies that focus on the interaction between new technology transport options and users are rather limited. However, in order to develop well-functioning sustainable transportation solutions that are widely accepted by the users, it is important to focus on factors related to user perspective, such as perceptions and acceptance among the users, and how the users interact with the new technology in the vehicles.

The focus of this Special Issue will be human–technology interaction regarding the newly emerging transportation options, especially regarding EVs and AVs. We would like to invite the colleagues from different disciplines to contribute to this Special Issue by submitting papers in that topic. We highly appreciate receiving various papers written using different approaches (e.g., theoretical, empirical, methodological) and academic perspectives, such as psychological and technological ones.

Dr. Özlem Simsekoglu
Dr. Giuseppe Marinelli
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

  • Electric vehicles
  • Autonomous vehicles
  • Human–technology interaction
  • User perspective
  • Sustainability
  • Transport solutions

Published Papers (4 papers)

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Research

28 pages, 423 KiB  
Article
Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities
by Hazel Si Min Lim and Araz Taeihagh
Sustainability 2019, 11(20), 5791; https://0-doi-org.brum.beds.ac.uk/10.3390/su11205791 - 18 Oct 2019
Cited by 49 | Viewed by 23707
Abstract
Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart, and sustainable cities. Algorithms form the basis of decision-making in AVs, allowing them to perform driving tasks autonomously, efficiently, and more safely than human drivers and [...] Read more.
Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart, and sustainable cities. Algorithms form the basis of decision-making in AVs, allowing them to perform driving tasks autonomously, efficiently, and more safely than human drivers and offering various economic, social, and environmental benefits. However, algorithmic decision-making in AVs can also introduce new issues that create new safety risks and perpetuate discrimination. We identify bias, ethics, and perverse incentives as key ethical issues in the AV algorithms’ decision-making that can create new safety risks and discriminatory outcomes. Technical issues in the AVs’ perception, decision-making and control algorithms, limitations of existing AV testing and verification methods, and cybersecurity vulnerabilities can also undermine the performance of the AV system. This article investigates the ethical and technical concerns surrounding algorithmic decision-making in AVs by exploring how driving decisions can perpetuate discrimination and create new safety risks for the public. We discuss steps taken to address these issues, highlight the existing research gaps and the need to mitigate these issues through the design of AV’s algorithms and of policies and regulations to fully realise AVs’ benefits for smart and sustainable cities. Full article
14 pages, 2606 KiB  
Article
Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay
by Teron Nguyen, Meng Xie, Xiaodong Liu, Nimal Arunachalam, Andreas Rau, Bernhard Lechner, Fritz Busch and Y. D. Wong
Sustainability 2019, 11(19), 5237; https://0-doi-org.brum.beds.ac.uk/10.3390/su11195237 - 24 Sep 2019
Cited by 12 | Viewed by 5069
Abstract
The development of advanced technologies has led to the emergence of autonomous vehicles. Herein, autonomous public transport (APT) systems equipped with prioritization measures are being designed to operate at ever faster speeds compared to conventional buses. Innovative APT systems are configured to accommodate [...] Read more.
The development of advanced technologies has led to the emergence of autonomous vehicles. Herein, autonomous public transport (APT) systems equipped with prioritization measures are being designed to operate at ever faster speeds compared to conventional buses. Innovative APT systems are configured to accommodate prevailing passenger demand for peak as well as non-peak periods, by electronic coupling and decoupling of platooned units along travel corridors, such as the dynamic autonomous road transit (DART) system being researched in Singapore. However, there is always the trade-off between high vehicle speed versus passenger ride comfort, especially lateral ride comfort. This study analyses a new APT system within the urban context and evaluates its performance using microscopic traffic simulation. The platooning protocol of autonomous vehicles was first developed for simulating the coupling/decoupling process. Platooning performance was then simulated on VISSIM platform for various scenarios to compare the performance of DART platooning under several ride comfort levels: three bus comfort and two railway criteria. The study revealed that it is feasible to operate the DART system following the bus standing comfort criterion (ay = 1.5 m/s2) without any significant impact on system travel time. For the DART system operating to maintain a ride comfort of the high-speed train (HST) and light rail transit (LRT), the delay can constitute up to ≈ 10% and ≈ 5% of travel time, respectively. This investigation is crucial for the system delay management towards precisely designed service frequency and improved passenger ride comfort. Full article
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15 pages, 2377 KiB  
Article
The Driverless Bus: An Analysis of Public Perceptions and Acceptability
by M. Eugenia López-Lambas and Andrea Alonso
Sustainability 2019, 11(18), 4986; https://0-doi-org.brum.beds.ac.uk/10.3390/su11184986 - 12 Sep 2019
Cited by 34 | Viewed by 5893
Abstract
The development of autonomous vehicles (AVs) holds a high potential for improving security, reducing congestion, increasing fuel efficiency, and saving time. Various studies conducted on the implementation of AVs predict that fully autonomous vehicles will be available for the public in the 2020s. [...] Read more.
The development of autonomous vehicles (AVs) holds a high potential for improving security, reducing congestion, increasing fuel efficiency, and saving time. Various studies conducted on the implementation of AVs predict that fully autonomous vehicles will be available for the public in the 2020s. However, it will take another three decades, at least, for these vehicles and technologies to be accepted among the general masses and become reliable and affordable for use. Nonetheless, while a great deal has been stated regarding autonomous cars, little attention has been paid to autonomous public transport, more specifically, autonomous buses (ABs). The present report analyzed the psychological barriers preventing the complete implementation of ABs through data collected from focus group (FG) discussions. The main objective of the FGs was to determine the factors influencing perceptions regarding ABs and their acceptability. The most important factors from the positive side were the reduction of personnel costs, the potential to decrease congestion, waiting time at intersections, and reduced emissions. On the other hand, the most important negative factors were an increase in vehicle and infrastructure costs, safety risks under certain conditions (e.g., system failures, terrorist attacks, etc.), and the possible reduction of employment opportunities. Full article
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20 pages, 4809 KiB  
Article
Optimization of Metro Passenger Organizing of Alighting and Boarding Processes: Simulated Evidence from the Metro Station in Nanjing, China
by Jiajie Yu, Yanjie Ji, Liangpeng Gao and Qi Gao
Sustainability 2019, 11(13), 3682; https://0-doi-org.brum.beds.ac.uk/10.3390/su11133682 - 04 Jul 2019
Cited by 13 | Viewed by 3195
Abstract
Since the long dwell time and chaotic crowds make metro trips inefficient and dissatisfying, the importance of optimizing alighting and boarding processes has become more prominent. This paper focuses on the adjustment of passenger organizing modes. Using field data from the metro station [...] Read more.
Since the long dwell time and chaotic crowds make metro trips inefficient and dissatisfying, the importance of optimizing alighting and boarding processes has become more prominent. This paper focuses on the adjustment of passenger organizing modes. Using field data from the metro station in Nanjing, China, a micro-simulation model of alighting and boarding processes based on an improved social force paradigm was built to simulate the movement of passengers under different passenger organizing modes. Unit flow rate, delay, and social force work (SFW) jointly reflect the efficiency and, especially, the physical energy consumption of passengers under each mode. It was found that when passengers alighted and boarded by different doors, efficiency reached its optimal level which was 76.92% higher than the status quo of Nanjing, and the physical energy consumption was reduced by 16.30%. Both the findings and the model can provide support for passenger organizing in metro stations, and the concept of SFW can be applied to other scenes simulated by the social force model, such as evacuations of large-scale activities, to evaluate the physical energy consumption of people. Full article
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