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Challenges in the Integrated Physical–Virtual Modeling of Sustainable Smart Cities

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

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 2928

Special Issue Editors

Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: GIScience; complex network; transportation geography; urban computing
Special Issues, Collections and Topics in MDPI journals
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China
Interests: urban social sensing; data mining of human activities in geographical space; human movement in urban space
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
Interests: ransportation systems modeling and analysis; transportation network reliability/vulnerability/flexibility/redundancy/resiliency analysis; transportation network design under uncertainty; transportation and the environment; non-motorized transportation modeling; path flow estimator and its applications in transportation planning; network modeling and large-scale solution algorithm development; sensor location for transportation networks; infrastructure management and disaster management; applied optimization in civil infrastructure problems

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Guest Editor
Department of Geomatics, Norwegian University of Life Sciences (NMBU), 1430 Ås, Norway
Interests: geographical information science; knowledge discovery; modeling, and visualization techniques to study and understand mobility (e.g., human dynamics); sustainable transportation in cities

Special Issue Information

Dear Colleagues,

With the advances in information and communication technologies, numerous sensors have been used by moving objects (human, vehicle, goods, etc.) in a mobile context and embedded in a variety of physical infrastructures. These ubiquitous sensors have enabled us to access streaming data about a city’s functioning in real-time, which constitutes what we call big data. Such data provide immediate updates to the system of our concern and are characterized by great variety, high velocity, and limitless volume. Such increasingly available data bring opportunities and challenges which call for new methods and models to re-examine our society and system toward the development of resilient, sustainable smart cities.

Nowadays, human activities are transforming from offline (physical space) to online (virtual space), in particular, during the pandemic. It is expected that this trend will continue even in the future new normal after the pandemic time. The contexts of human activities of daily activity are moving beyond places in physical space to being in virtual space. The co-existence of physical and virtual human activities has complexified the interaction between humans and the environment. In this context, this Special Issue “Challenges in the Integrated Physical–Virtual Modeling of Sustainable Smart Cities” welcomes research papers on current and future innovations in transportation systems for more sustainable operation, addressing one or more of the following research topics:

  • Novel theoretical models for locations, places, activity, and mobility physical–virtual space
  • Modeling human activity and mobility patterns in physical–virtual space
  • Modeling integrated physical–virtual human interaction patterns
  • Spatiotemporal evolution of physical–virtual interaction networks
  • Scalability issues with location-based big data in physical–virtual space
  • Data quality and representativeness of physical–virtual location-based big data
  • Privacy and ethical issues in physical–virtual location-based big data
  • Spatiotemporal analysis of physical–virtual location-based big data
  • Geovisualization and visual analytics of physical–virtual space
  • Modeling and predicting human physical–virtual behavior and activity
  • Smart cities, transportation, and healthcare in the context of physical–virtual space

We look forward to receiving your contributions.

Dr. Xintao Liu
Dr. Tao Jia
Prof. Dr. Anthony Chen
Prof. Dr. Hossein Chavoshi
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

  • spatiotemporal big data
  • physical–virtual space
  • sustainable development
  • artificial intelligence
  • network analysis

Published Papers (1 paper)

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Research

15 pages, 6614 KiB  
Article
Considering Space Syntax in Bicycle Traffic Assignment with One or More User Classes
by Seungkyu Ryu, Anthony Chen, Jacqueline Su, Xintao Liu and Jiangbo (Gabe) Yu
Sustainability 2021, 13(19), 11078; https://doi.org/10.3390/su131911078 - 07 Oct 2021
Cited by 1 | Viewed by 1654
Abstract
Modeling bicycle traffic assignment requires consideration of the various factors and criteria that could play a role in a cyclist’s route decision-making process. However, existing studies on bicycle route choice analysis tend to overlook the less tangible or measurable aspects of cyclist route [...] Read more.
Modeling bicycle traffic assignment requires consideration of the various factors and criteria that could play a role in a cyclist’s route decision-making process. However, existing studies on bicycle route choice analysis tend to overlook the less tangible or measurable aspects of cyclist route decision-making, such as a cyclist’s cognitive understanding of the network and a cyclist’s biking experience. This study explores the applicability of space syntax as a route cognitive attribute in a bicycle traffic assignment model. Since space syntax is a tool that links urban spatial layout to human movement, the results of a space syntax model can be used as a cognitive attribute for modeling bicycle movements with explicit consideration of the cognitive complexities of navigating through the environment. In developing a bicycle traffic assignment model, we considered relevant attributes such as route cognition, distance, and safety and integrated multiple user class analysis to reflect different biking experience levels. Numerical experiments using the Winnipeg network are conducted to demonstrate the applicability of the proposed bicycle traffic assignment model with one or more user classes. Full article
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