Research on intelligent modeling and path analysis of influencing factors of plateau cities for green transportation development

With its unique geographical location and ecological environment, high-altitude central cities have an extremely urgent need for the development of green transportation. In response to the high-altitude central city of Xining, an improved DEMATEL-ISM method is used to conduct in-depth exploration, accurately excavate the core elements that affect Xining's green transportation level, and carefully analyze the intertwined relationships between various factors; Build a green transportation level influencing factor system that is suitable for Xining, and comprehensively interpret the specific pathways of each factor. To lay a solid foundation for formulating a highly adaptable green transportation development strategy, provide key references, and better assist the government in making scientific decisions, provide strong theoretical support for the introduction of green transportation policies in high-altitude central cities, and effectively promote the steady progress of high-altitude central cities towards a green and efficient transportation future.

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Publication Details

Published
2025-08-28
DOI
https://doi.org/10.1117/12.3083175
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Research on intelligent modeling and path analysis of influencing factors of plateau cities for green transportation development

Yi Chen
Remote Sensing and Land Use
article

Research on intelligent modeling and path analysis of influencing factors of plateau cities for green transportation development

Yi Chen
article en

Abstract

With its unique geographical location and ecological environment, high-altitude central cities have an extremely urgent need for the development of green transportation. In response to the high-altitude central city of Xining, an improved DEMATEL-ISM method is used to conduct in-depth exploration, accurately excavate the core elements that affect Xining's green transportation level, and carefully analyze the intertwined relationships between various factors; Build a green transportation level influencing factor system that is suitable for Xining, and comprehensively interpret the specific pathways of each factor. To lay a solid foundation for formulating a highly adaptable green transportation development strategy, provide key references, and better assist the government in making scientific decisions, provide strong theoretical support for the introduction of green transportation policies in high-altitude central cities, and effectively promote the steady progress of high-altitude central cities towards a green and efficient transportation future.

Minzu University of China (CN)
Sustainable cities and communities
Openalex Percentile: Top 72%
Remote Sensing and Land Use
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