Study on public transportation transfer layout based on GIS network analysis: a case study of Guangzhou higher education mega center

Jing He; Yuxin Chen; Mingjie Liang

doi:10.1117/12.3048808

27 November 2024 Study on public transportation transfer layout based on GIS network analysis: a case study of Guangzhou higher education mega center

Jing He, Yuxin Chen, Mingjie Liang

Author Affiliations +

Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 1340224 (2024) https://doi.org/10.1117/12.3048808
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China

Abstract

The subway holds a significant role within the urban public transportation network. Addressing the challenges of subway connectivity has become crucial for enhancing the commuting experience of citizens. This study, focusing on the main urban area of Guangzhou, employs GIS network analysis tools to evaluate the bus service coverage, identifying regions that lack subway accessibility and require bus transfers for commuters. Building on these findings, Guangzhou Higher Education Mega Center (HEMC) was selected as the specific area of study. The site selection and allocation model were utilized to optimize bus station configuration, while the best path model was applied to determine feasible route directions. Ultimately, the closest facility point model and OD cost matrix model were implemented to strategically place shared bicycle docking stations in areas characterized by high population density and significant transit likelihood, aiming to solve the "last kilometer" travel issue for city residents. The outcomes of this research could serve as a reference for the development of public transportation in Guangzhou.

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

Citation Download Citation

Jing He, Yuxin Chen, and Mingjie Liang "Study on public transportation transfer layout based on GIS network analysis: a case study of Guangzhou higher education mega center", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 1340224 (27 November 2024); https://doi.org/10.1117/12.3048808

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