Evaluation and improvement of a slow traffic system in a cold regional campus based on travel satisfaction

• Autorzy: Zhang Jiaxin , Sun Xiaohui , Liu Jincheng , Guliziba Aimaiti

Identyfikatory

DOI

10.20858/tp.2025.20.1.09

• Języki publikacji: EN

Abstrakty

EN

This study establishes a Bayesian-structural equation model based on the travel satisfaction survey at the Boda Campus of Xinjiang University to construct and optimize the slow traffic system of campus in cold regions. Moreover, relevant indicators are selected to construct the evaluation system of the campus’s slow traffic system in cold regions. Then, strategies are proposed to optimize the campus’s slow traffic system according to the key elements highlighted by the evaluation system. The results show that subjective emotion and perceived time have a great influence on travel satisfaction. The connectivity and density of the walking and cycling network, anti-skid performance of the road surface, canopy amount, and parking/pick-up convenience of shared bicycle sites substantially influence the construction of campuses’ slow traffic systems in cold regions. The score of the optimized campus’s slow traffic system increased by 72.10% compared with that of the pre-optimized system.

Słowa kluczowe

EN

campus in cold region; slow traffic system; evaluation system; travel satisfaction; Bayesian-structural equation model

PL

kampus w regionie zimnym; powolny system ruchu; system oceny; satysfakcja z podróży; model równań bayesowskich strukturalnych

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2025
• Tom: T. 20, z. 1
• Strony: 99--110
• Opis fizyczny: Bibliogr. 24 poz.

Twórcy

autor

Zhang Jiaxin

• Xinjiang University, Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure; Urumqi Xinjiang 830017, China

• https://orcid.org/0009-0002-4056-3206

autor

Sun Xiaohui

• Xinjiang University; Urumqi Xinjiang 830017, China

• https://orcid.org/0000-0001-5101-7126

autor

Liu Jincheng

• Xinjiang University; Urumqi Xinjiang 830017, China

• https://orcid.org/0009-0000-4177-3841

autor

Guliziba Aimaiti

• Xinjiang University; Urumqi Xinjiang 830017, China

• https://orcid.org/0009-0004-1579-5165

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).