Evaluation of Urban Transport Quality Management Based on Crowdsourcing Data for the Implementation of Municipal Energy and Resource Conservation Policies

Justyna Lemke (), Tomasz Dudek, Artur Kujawski and Tygran Dzhuguryan
Additional contact information
Justyna Lemke: Faculty of Engineering and Economics of Transport, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland
Tomasz Dudek: Faculty of Engineering and Economics of Transport, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland
Artur Kujawski: Faculty of Engineering and Economics of Transport, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland
Tygran Dzhuguryan: Faculty of Engineering and Economics of Transport, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland

Energies, 2025, vol. 18, issue 19, 1-20

Abstract: One of the key challenges for city authorities is to ensure an adequate quality of life for residents while promoting sustainable urban development. Achieving this balance is closely related to transport management which strongly affects urban quality of life, energy consumption, and resource savings. The aim of this article is to propose a new approach of assessing urban transport management quality, with a view to implement urban energy and resource-saving policies. The assessment procedure is based on the Six Sigma methodology and is illustrated using the example of the city of Szczecin for three selected routes. Travel data were obtained based on actual vehicle traffic using crowdsourcing methods. The capacity processes were assessed based on the potential capacity index and the actual capacity index, which characterise deviations in urban traffic from the best way to save energy and resources. Customer specification limits were set based on surveys assessing residents’ expectations regarding car travel times on the analysed routes. The results show that the methodology proposed in the article can be successfully used to assess urban transport management and to identify areas in need of improvement for sustainable transport panning.

Keywords: transport management; six sigma; crowdsourcing; smart cities; urban mobility; energy and resource conservation; intelligent transport systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/19/5260/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/19/5260/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:19:p:5260-:d:1764480

Access Statistics for this article

Energies is currently edited by Ms. Cassie Shen

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().