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Cognitive Aspects of Sustainable Mobility

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

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 1481

Special Issue Editor


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Guest Editor
Innovative Vehicle Technology Competence Center, Budapest University of Technology and Budapest, H-1111 Budapest, Hungary
Interests: sustainable mobility; future drivetrain and energy development; cognitive mobility and cognitive sustainability; vehicle on-board energy management

Special Issue Information

Dear Colleagues,

Sustainable mobility is the key to our future. It can be achieved at many levels: by improving vehicle components, vehicles, the whole transport system and even the systems that border it. This can be approached, for example, at the vehicle level: sustainable fuels, renewable electricity, efficient drive chains, and low-consumption vehicles. We can model and simulate vehicles’ practicality and work on new solutions for micro-mobility. These offer new opportunities to choose the form of mobility that is one of the keys to truly sustainable mobility. Increasing efficiency at the transport system level is also a current challenge—not only on the roads, but also on the ground, on water, in the air and on fixed tracks. Minimizing the mobility needed for human activity is an issue that can be significantly influenced, even from an urbanistic and architectural point of view. With the help of informatics and cognitive sciences, more and more data are being collected during development and use, which helps research and supports human and engineered decision-making for green mobility. A combination of the two will create cognitive mobility, enabling improvements in the system-wide sustainability of transport. One of the best tools for this is life-cycle analysis, which can compare alternatives from well to wheel.

Prof. Dr. Máté Zöldy
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

  • green mobility
  • energy efficiency
  • augmented traffic

Published Papers (1 paper)

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Research

15 pages, 7816 KiB  
Article
Exploring the Relationship between Land Use and Congestion Source in Xi’an: A Multisource Data Analysis Approach
by Duo Wang, Hong Chen, Chenguang Li and Enze Liu
Sustainability 2023, 15(12), 9328; https://doi.org/10.3390/su15129328 - 9 Jun 2023
Cited by 2 | Viewed by 1168
Abstract
Traffic congestion is a critical problem in urban areas, and understanding the relationship between land use and congestion source is crucial for traffic management and urban planning. This study investigates the relationship between land-use characteristics and congestion pattern features of source parcels in [...] Read more.
Traffic congestion is a critical problem in urban areas, and understanding the relationship between land use and congestion source is crucial for traffic management and urban planning. This study investigates the relationship between land-use characteristics and congestion pattern features of source parcels in the Second Ring Road of Xi’an, China. The study combines cell-phone data, POI data, and land-use data for the empirical analysis, and uses a spatial clustering approach to identify congested road sections and trace them back to source parcels. The correlations between building factors and congestion patterns are explored using the XGBoost algorithm. The results reveal that residential land and residential population density have the strongest impact on congestion clusters, followed by lands used for science and education and the density of the working population. The study also shows that a small number of specific parcels are responsible for the majority of network congestion. These findings have important implications for urban planners and transportation managers in developing targeted strategies to alleviate traffic congestion during peak periods. Full article
(This article belongs to the Special Issue Cognitive Aspects of Sustainable Mobility)
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