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Identifying the impacts of land-use spatial patterns on street-network accessibility using geospatial methods

Fan, Ping Yu; Chun, Kwok Pan; Mijic, Ana; Tan, Mou Leong; Zhai, Wei; Yetemen, Omer

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Authors

Ping Yu Fan

Profile image of Kwok Chun

Dr Kwok Chun Kwok.Chun@uwe.ac.uk
Lecturer in Environmental Managment

Ana Mijic

Mou Leong Tan

Wei Zhai

Omer Yetemen



Abstract

While the land use-street network nexus is well acknowledged, evidence for the one-way impacts of land-use patterns on street accessibility is still inadequate. The measurements of land-use patterns and street accessibility lack systematic knowledge. Their empirical correlations also lack geographical variability, constraining site-specific land-use practices. Therefore, this study overcame the aforementioned limitations by examining the two-level spatial models to formulate accessibility-oriented land plans, using a well-developed Chinese city as an example. Firstly, two landscape metrics—Euclidean Nearest-Neighbor Distance (ENN) and Similarity Index (SIMI)—were used to quantify the intra- and inter-land-use configurations, respectively. Both city-level and local accessibility were measured using spatial design network analysis. Performing both ordinary least squares (OLS) and geographically weighted regression (GWR) models, results identified the statistically significant effects of inter-land-use patterns on two-level street accessibility. An exception was that land-use configurations within residential and industrial regions were irrelevant to street accessibility. We also found GWR was a better-fitting model than OLS when estimating locally-varied accessibility, suggesting hierarchical multiscale land-use planning. Overall, locally heterogeneous evidence in this study can substantialize land use-street network interactions and support the decision-making and implementation of place-specific accessibility-oriented land use.

Journal Article Type Article
Acceptance Date Jul 17, 2023
Online Publication Date Aug 8, 2023
Publication Date Apr 30, 2024
Deposit Date Jul 18, 2023
Publicly Available Date May 23, 2024
Journal Geographical Analysis
Print ISSN 0016-7363
Electronic ISSN 1538-4632
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 56
Issue 2
Pages 284-302
DOI https://doi.org/10.1111/gean.12374
Keywords Land-use spatial pattern; Street-network accessibility; Geographically weighted regression; Landscape metrics
Public URL https://uwe-repository.worktribe.com/output/10957742

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