Evaluation of coordinated development of transport and population-industry based on passenger transportation network using mobile signaling data

Yu Zhao; Chen Liu; Xiang-jun Sun; Ming-zhang Liang

doi:10.1117/12.3040458

28 August 2024 Evaluation of coordinated development of transport and population-industry based on passenger transportation network using mobile signaling data

Yu Zhao, Chen Liu, Xiang-jun Sun, Ming-zhang Liang

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132515R (2024) https://doi.org/10.1117/12.3040458
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

A method is proposed in this study to construct a comprehensive travel network that incorporates non-operational passenger traffic, enabling the evaluation of the transport system from the user's perspective. The position information generated by users accessing the corresponding base stations during their travel is recorded using mobile signaling data. The Needleman-Wunsch algorithm is employed for data cleaning, trip segment identification, and matching of travel paths to construct a "real network" of intercity passenger transportation. The characteristics of this passenger transport "real network" are evaluated from the user's standpoint. To achieve coordination among regional transport, population, and industry, the study employs the entropy weight coefficient method and the coupling coordination model. This allows for the assessment of the coordination level of these three systems. The proposed method is validated using data from the Chengdu, Deyang, Meishan, and Ziyang city-region. The results demonstrate significant differences in the coordination and development levels of transport, population, and industry between city pairs. Based on the positive outcomes of the Chengdu metropolitan area's construction, the transport development of the area has entered a phase of localized reinforcement, requiring targeted efforts to address the shortcomings in transportation development in different regions, and achieve resource-efficient utilization.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yu Zhao, Chen Liu, Xiang-jun Sun, and Ming-zhang Liang "Evaluation of coordinated development of transport and population-industry based on passenger transportation network using mobile signaling data", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132515R (28 August 2024); https://doi.org/10.1117/12.3040458

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KEYWORDS

Transportation

Industry

Analytical research

Roads

Data analysis

Reflection

Systems modeling

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