Regional land use correlation analysis for rail station impacts

Chaoqun Ma; Changbin Wang; Yuping Li; Dan Huang

doi:10.1117/12.3023977

14 February 2024 Regional land use correlation analysis for rail station impacts

Chaoqun Ma, Changbin Wang, Yuping Li, Dan Huang

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130184E (2024) https://doi.org/10.1117/12.3023977
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

In order to study the interaction between rail transit and neighboring land use as well as the differences in the development of rail transit lines in Xi'an. Based on the POI data from 2016 to 2020 and with the help of spatial autocorrelation analysis, Xi'an Railway Transit Line 1 to Line 4 are selected as the research objects. The spatial distribution of POI data was used to reflect the impact of rail transit on land use around the stations. Using six types of POI data, namely, scientific, educational, and cultural, administrative office, business and residential, road traffic, living and entertainment, and commercial services, to represent the corresponding land use. Using the Tyson polygon created by the rail station as the rail station impact area. Local spatial autocorrelation analysis was conducted for each land use type on the impact areas of lines 1 to 4. The results show that: (1) The high value gathering area of science, education, and culture, living and entertainment, and administrative office land is obviously transformed to the surrounding low value area. (2) The land around Line 2 is relatively well developed, with little overall change, while Lines 3 and 4 are still under rapid development. The study of the impact of rail transit opening and operation on land use around stations is important for rail transit planning and land use along the line.

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

Citation Download Citation

Chaoqun Ma, Changbin Wang, Yuping Li, and Dan Huang "Regional land use correlation analysis for rail station impacts", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130184E (14 February 2024); https://doi.org/10.1117/12.3023977

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