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Energy and Information Management in Sustainable Transportation
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Energy and Information Management in Sustainable Transportation

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

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 14478

Special Issue Editors

Dr. Grzegorz Sierpiński

E-Mail Website
Guest Editor
Department Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego Str. 8, 40-019 Katowice, Poland
Interests: sustainable transport; electromobility; travel behavior; environmentally friendly transport solutions; traffic engineering; traffic flow measurement; analysis and prognosis; transport systems modeling; optimization of transport networks
Special Issues, Collections and Topics in MDPI journals
Dr. Csaba Csiszár

E-Mail Website
Guest Editor
Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Stoczek Str. 2, 1111 Budapest, Hungary
Interests: transportation information systems; passenger transportation; electromobility; mobility based on autonomous vehicles; transport system modeling; energy management in transportation; shared mobility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue “Energy and Information Management in Sustainable Transportation” is focused on sustainability, which is one of the main challenges of the modern world. New methods have to be elaborated to ease the environmental effects of transportation. Studies related to improving the efficiency of transport systems, including proper energy management are welcome. This Special Issue will also draw the industry managers’ and researchers’ attention to information services that support the implementation and use of new mobility solutions. Thus, papers related to information systems and advanced mobility services are welcome in this Special Issue.

Climate change and its consequences have been the focus of significant attention in recent years. Decreasing the environmental effects of transportation is essential for all stakeholders. Recent technological developments have a great impact on the operation of vehicles. Furthermore, understanding and influencing traveler behavior are fundamental to the development of new mobility services. An increasing number of scholars call for more sophisticated research and new methodologies in the area of sustainable transportation. Therefore, this Special Issue “Energy and Information Management in Sustainable Transportation” welcomes papers covering various methods to improve the efficiency of transportation and energy management, different information services that support the implementation of new solutions, and any research that may contribute to the environmentally-friendly transportation.

Topics covered in the Special Issue include, but are not limited to the following:

  • Intelligent transport systems (ITS)
  • Sustainable transport
  • Environmentally-friendly travel solutions
  • Electromobility
  • Smart grid services
  • Optimization of energy usage in transport networks
  • Information and communication technology (ICT)
  • Shared mobility services
  • The external cost of transport

Prof. Grzegorz Sierpiński
Assoc. Prof. Csaba Csiszár
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

  • intelligent transport systems (ITS)
  • sustainable transport
  • environmental-friendly travel solutions
  • electromobility
  • smart grid services
  • optimization of energy usage in transport network
  • information and communication technology (ICT)
  • shared mobility services
  • external cost of transport

Published Papers (4 papers)

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Research

15 pages, 2005 KiB  
Article
Operation of Public Transportation Ticket Vending Machine in Kraków, Poland: An Eye Tracking Study
by Anton Pashkevich, Andrzej Szarata, Tomasz E. Burghardt, Rafał Jaremski and Matúš Šucha
Sustainability 2021, 13(14), 7921; https://doi.org/10.3390/su13147921 - 15 Jul 2021
Cited by 1 | Viewed by 4248
Abstract
Whereas the majority of evaluations of self-service kiosks are based on interviews or observations and as such are burdened with personal bias, eye tracking was seen as a method for an objective analysis. To demonstrate the feasibility and usability of such an assessment [...] Read more.
Whereas the majority of evaluations of self-service kiosks are based on interviews or observations and as such are burdened with personal bias, eye tracking was seen as a method for an objective analysis. To demonstrate the feasibility and usability of such an assessment technique, the task of purchasing a public transportation ticket from a modern ticket vending machine in Kraków, Poland was evaluated. The test participants relatively easily operated the machine with time taken to purchase a ticket ranging from 54 s for foreigners not familiar with the equipment to 29 s for local inhabitants. Even though the number of gazes recorded for the foreigners group was 2.4 times higher than for the local test participants, the fixation times were almost equal. Faulty or delayed operation of the payment terminal was a meaningful equipment issue encountered by eight test participants. The study demonstrated that the operation of the analysed ticket vending machine should not cause much trouble to anyone. The use of an eye tracker, which was employed for such an assessment for the first time, permitted the identification of possible operational ambiguities that could hinder the user experience without the bias associated with other assessment techniques. The used method was found to be efficient and the results provided valuable information. Full article
(This article belongs to the Special Issue Energy and Information Management in Sustainable Transportation)
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12 pages, 838 KiB  
Article
An Analysis of Factors Affecting the Severity of Cycling Crashes Using Binary Regression Model
by Ahmed Jaber, János Juhász and Bálint Csonka
Sustainability 2021, 13(12), 6945; https://doi.org/10.3390/su13126945 - 21 Jun 2021
Cited by 18 | Viewed by 2482
Abstract
The increasing use of bicycles rises the interest in investigating the safety aspects of daily commuting. In this investigation, more than 14,000 cyclists’ injuries were analyzed to determine the relationship between severity, road infrastructure characteristics, and surface conditions using binary regression. Minor and [...] Read more.
The increasing use of bicycles rises the interest in investigating the safety aspects of daily commuting. In this investigation, more than 14,000 cyclists’ injuries were analyzed to determine the relationship between severity, road infrastructure characteristics, and surface conditions using binary regression. Minor and major severity categories were distinguished. A binary equation consists of 28 factors is extracted. It has been found that each factor related to roadway characteristics has its negative and positive impacts on cyclist severity such as traffic control, location type, topography, and roadway divisions. Regarding the road surface components, good, paved, and marked roads are associated with a higher probability of major injuries due to the expected greater frequencies of cyclists on roads with good conditions. In conclusion, probabilities of major injuries are higher in urban areas, higher speed limits, signalized intersections, inclined topographies, one-way roads, and during the daytime which require more attention and better considerations. Full article
(This article belongs to the Special Issue Energy and Information Management in Sustainable Transportation)
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22 pages, 2381 KiB  
Article
Autonomous Vehicle Use and Urban Space Transformation: A Scenario Building and Analysing Method
by Dahlen Silva, Dávid Földes and Csaba Csiszár
Sustainability 2021, 13(6), 3008; https://doi.org/10.3390/su13063008 - 10 Mar 2021
Cited by 17 | Viewed by 3267
Abstract
The use of autonomous vehicles (AVs) has the potential to transform users’ behaviour and urban space management. Quantitative and qualitative analyses of impacts require a scenario building method. We considered the fleet size, modal share, car ownership, parking preferences, and urban space repurposing [...] Read more.
The use of autonomous vehicles (AVs) has the potential to transform users’ behaviour and urban space management. Quantitative and qualitative analyses of impacts require a scenario building method. We considered the fleet size, modal share, car ownership, parking preferences, and urban space repurposing during the elaboration of a novel method. Existing scenarios and results of a questionnaire survey have been used as sources. The method was applied to build scenarios in a case study in Budapest, Hungary. The results were used to calculate the impacts on urban space management, including environmental savings. The key findings are: scenarios with significant shared AV use show that parking demand may be minimised (almost 83%) and urban space repurposing has the highest potential; furthermore, AV use and sharing acceptability may decrease the fleet size and alter the type of shared mode to multiple occupancies. The developed scenario building method serves as a base for future studies. The produced scenarios allow the researchers to focus on the analysis of the impacts caused. Full article
(This article belongs to the Special Issue Energy and Information Management in Sustainable Transportation)
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16 pages, 1639 KiB  
Article
Concept of Mobile Application for Mobility as a Service Based on Autonomous Vehicles
by Yinying He and Csaba Csiszár
Sustainability 2020, 12(17), 6737; https://doi.org/10.3390/su12176737 - 20 Aug 2020
Cited by 7 | Viewed by 3129
Abstract
Mobility as a service (MaaS) is proposed to encourage travelers to choose sustainable mobility options and reduce use of individual car. In the future, mobility services based on autonomous vehicles (AVs) are also incorporated into MaaS. The objective of our work is to [...] Read more.
Mobility as a service (MaaS) is proposed to encourage travelers to choose sustainable mobility options and reduce use of individual car. In the future, mobility services based on autonomous vehicles (AVs) are also incorporated into MaaS. The objective of our work is to elaborate the concept of mobile application, aiding the MaaS based on AVs. We applied a system engineering process-oriented approach to determine the information system components, the functions as well as input and output data. Functions of back-end information system operation and front-end interface of application have been identified, as well as the information flows have been modeled. We highlighted the main differences between MaaS and MaaS based on AVs. We found that recording of event-based points and feedback management are regarded as pivot functions in this self-travel service. Our results facilitate the development of smartphone application for the MaaS based on AVs. Full article
(This article belongs to the Special Issue Energy and Information Management in Sustainable Transportation)
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