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Street network accessibility-based methodology for appraisal of land use master plans: An empirical case study of Wuhan, China

  • Yang Xiao
  • , Chinmoy Sarkar
  • , Chris Webster*
  • , Alain Chiaradia
  • , Yi Lu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In rapidly developing countries where master plans quickly lead to new cities, planning professionals still lack a robust methodology for the appraisal of land use at the proposal stage. This research proposes a novel approach to master-plan appraisal based on examining whether the relationship between the planned land use pattern and the proposed street layout follows a systematic spatial logic, with land use allocation correlated to accessibility characteristics of a location. Each land use zone is given a score that reflects the degree to which it is connected to every other land use zone in the master plan. The scores are derived from topological analysis of the urban street grid using sDNA (spatial domain network analysis) methodology. Our analysis supports the hypothesis of
a systematic link between connectivity and land use class in general and also reveals certain specific features of land use decision-making in the city. This includes a tendency for public uses to be located on small sites and in the periphery. This is consistent with profit-maximizing behaviors of local government. The potential for application of this methodology for evaluating urban-scale master plans is discussed.
Original languageEnglish
Pages (from-to)193-203
JournalLand Use Policy
Volume69
Online published20 Sept 2017
DOIs
Publication statusPublished - Dec 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Accessibility
  • Entrepreneurial behavior
  • Land use master plans
  • sDNA
  • Wuhan

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