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Sustainable Transportation: Human–Computer Interaction and Intelligent Transportation

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

Deadline for manuscript submissions: closed (5 June 2025) | Viewed by 729

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Interests: control engineering; human-machine interaction; connected and autonomous vehicles

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Guest Editor
Department of Civil & Environmental Engineering, The University of North Carolina, Charlotte, NC 28223-0001, USA
Interests: transportation planning/modeling and traffic simulation; intelligent transportation systems (ITS); traffic safety; geographic information systems

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Guest Editor
Department of Mechanical and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
Interests: optimal control; model predictive control; system verification; connected vehicle systems; robotics; motion planning

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Guest Editor
Department of Industrial and System Engineering, University of North Carolina, Charlotte, NC 28223, USA
Interests: smart mobility and spatial sensing (GPS/GIS/LiDAR/Camera/Radar); big data and artificial intelligence in transportation; shared and automated mobility and micro-mobility modeling and simulation; transportation sustainability; safety and electrification

Special Issue Information

Dear Colleagues,

The increasing global concern over environmental sustainability has precipitated a paradigm shift in the realm of transportation, emphasizing the need for innovative solutions that harmonize human mobility with ecological balance. The nexus between Sustainable Transportation, Human–Computer Interaction (HCI), and Intelligent Transportation Systems (ITS) is emerging as a pivotal area of research. As our societies grapple with the ecological repercussions of traditional transportation modes, the scientific community is compelled to explore and develop intelligent, user-centric approaches that can redefine the future of mobility.

This Special Issue aspires to be a vanguard in advancing knowledge at the confluence of Sustainable Transportation, HCI, and ITS. Our primary objective is to spotlight research that not only elucidates the complexities of this interdisciplinary field but also offers pragmatic solutions for sustainable mobility. By showcasing studies that bridge the gap between technological innovation and user experience, we aim to foster a deeper understanding of how HCI and intelligent systems can be leveraged to mitigate environmental impact while enhancing the efficiency and accessibility of transportation.

We are inviting you to contribute to this Special Issue original research articles and reviews on research areas including (but not limited to) the following:

(a) User-Centric Design for Sustainable Mobility: Exploring interfaces and design principles that prioritize user experience while promoting environmentally conscious transportation choices;

(b) Intelligent Transportation Systems and Environmental Impact: Investigating the role of ITS in optimizing traffic flow, reducing emissions, and enhancing overall transportation sustainability;

(c) Data Analytics and Decision Support Systems: Harnessing big data to inform sustainable transportation policies and empower users with intelligent decision-making tools;

(d) Smart Infrastructure for Sustainable Cities: Examining the integration of smart technologies in urban planning to create eco-friendly, efficient transportation networks;

(e) Human Factors in Sustainable Transportation: Understanding the psychological and social dimensions that influence user acceptance and behavior in the context of sustainable transportation solutions.

We look forward to receiving your contributions.

Dr. Amir Hossein Ghasemi
Prof. Dr. Srinivas Pulugurtha
Dr. Baisravan HomChaudhuri
Dr. Lei Zhu
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
  • intelligent infrastructure
  • human-centered design
  • smart mobility solutions
  • augmented reality

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Published Papers (1 paper)

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Research

27 pages, 5572 KiB  
Article
Smartphone-Based Assessment of Bicycle Pavement Conditions Using the Bicycle Road Roughness Index and Faulting Impact Index for Sustainable Urban Mobility
by Dongyoun Lee, Hojun Yoo, Jaeyong Lee and Gyeongok Jeong
Sustainability 2025, 17(16), 7488; https://doi.org/10.3390/su17167488 - 19 Aug 2025
Abstract
This study presents a smartphone-based dual-index framework for evaluating bicycle pavement conditions, aimed at supporting sustainable urban mobility and cyclist safety. Conventional assessment methods, such as the International Roughness Index (IRI), often overlook short-range discontinuities and are impractical for micromobility-scale infrastructure monitoring. To [...] Read more.
This study presents a smartphone-based dual-index framework for evaluating bicycle pavement conditions, aimed at supporting sustainable urban mobility and cyclist safety. Conventional assessment methods, such as the International Roughness Index (IRI), often overlook short-range discontinuities and are impractical for micromobility-scale infrastructure monitoring. To address these limitations, two perception-aligned indices were developed: the Bicycle Road Roughness Index (BRI), reflecting sustained surface discomfort, and the Faulting Impact Index (FII), quantifying acute vertical shocks. Both indices were calibrated through structured panel surveys involving 40 experienced cyclists and validated using high-frequency tri-axial acceleration data collected in both experimental and field settings. Regression analysis confirmed strong alignment between sensor signals and user perception (R2 = 0.74 for BRI; R2 = 0.76 for FII). A five-grade classification system was proposed, with critical FII thresholds at 87.3 m/s2 for “risky” and 119.4 m/s2 for “not rideable” conditions. Field validation across four diverse sites revealed over 380 hazard segments requiring attention, demonstrating the framework’s ability to identify localized risks that may be masked by traditional metrics. By leveraging off-the-shelf smartphones and open-source sensing tools, the proposed approach enables scalable, low-cost, and cyclist-centered diagnostics. The dual-index system not only enhances rideability evaluation but also supports targeted maintenance planning, real-time hazard detection, and broader efforts toward data-driven, sustainable micromobility management. Full article
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