Spatiotemporal Impact of Metro on Land Use Types and Development Intensity

The metro system is a key driver of urban land use development; however, its spatiotemporal impact mechanisms remain insufficiently understood. This study investigates the effects of metro development on land use types and development intensity in Wuhan, China, from 2014 to 2019, and employs a Geographically and Temporally Weighted Regression (GTWR) model to capture the spatiotemporal heterogeneity of these impacts. Results show that metro construction significantly promotes land use transformation along metro lines, especially from non-construction land to residential and commercial uses, while also increasing development intensity. GTWR analysis further reveals that metro network characteristics, station attributes, and built environment features surrounding stations strongly influence land development. These impacts exhibit pronounced spatiotemporal heterogeneity, becoming more pronounced over time as the metro network extends into suburban areas. The findings provide valuable insights for urban and transportation planners, supporting the formulation of strategies for integrated land use development and metro network expansion.

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Publication Details

Journal
Land
Published
2025-12-08
DOI
https://doi.org/10.3390/land14122390
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatiotemporal Impact of Metro on Land Use Types and Development Intensity

Yunfei Xu, W. Zhang, Heping Li, Hong Yang et al.
Land
Urban Transport and Accessibility
article

Spatiotemporal Impact of Metro on Land Use Types and Development Intensity

Yunfei Xu, W. Zhang, Heping Li, Hong Yang, Jun Wang
article en

Abstract

The metro system is a key driver of urban land use development; however, its spatiotemporal impact mechanisms remain insufficiently understood. This study investigates the effects of metro development on land use types and development intensity in Wuhan, China, from 2014 to 2019, and employs a Geographically and Temporally Weighted Regression (GTWR) model to capture the spatiotemporal heterogeneity of these impacts. Results show that metro construction significantly promotes land use transformation along metro lines, especially from non-construction land to residential and commercial uses, while also increasing development intensity. GTWR analysis further reveals that metro network characteristics, station attributes, and built environment features surrounding stations strongly influence land development. These impacts exhibit pronounced spatiotemporal heterogeneity, becoming more pronounced over time as the metro network extends into suburban areas. The findings provide valuable insights for urban and transportation planners, supporting the formulation of strategies for integrated land use development and metro network expansion.

LandVol. 14(12)
Chongqing University (CN), Guizhou University (CN), Wuhan University (CN), Wuhan Science and Technology Bureau (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Guangzhou Urban Planning Survey & Design Institute (CN), Guizhou Institute of Technology (CN)
Openalex Percentile: Top 62%
Urban Transport and Accessibility
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