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

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  • Xiao, Yang
  • Sarkar, Chinmoy
  • Webster, Chris
  • Chiaradia, Alain
  • Lu, Yi

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.11http://en.wikipedia.org/wiki/Spatial_network_analysis_software. 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.

Suggested Citation

  • Xiao, Yang & Sarkar, Chinmoy & Webster, Chris & Chiaradia, Alain & Lu, Yi, 2017. "Street network accessibility-based methodology for appraisal of land use master plans: An empirical case study of Wuhan, China," Land Use Policy, Elsevier, vol. 69(C), pages 193-203.
  • Handle: RePEc:eee:lauspo:v:69:y:2017:i:c:p:193-203
    DOI: 10.1016/j.landusepol.2017.09.013
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    References listed on IDEAS

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    1. Maria Teresa Borzacchiello & Peter Nijkamp & Eric Koomen, 2010. "Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities," Environment and Planning B, , vol. 37(1), pages 148-169, February.
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    Cited by:

    1. Tao, Zhuolin & Zhou, Jiangping & Lin, Xiongbin & Chao, Heng & Li, Guicai, 2020. "Investigating the impacts of public transport on job accessibility in Shenzhen, China: a multi-modal approach," Land Use Policy, Elsevier, vol. 99(C).
    2. Ting Zhang & Bo Huang & Hung Wong & Samuel Yeung-Shan Wong & Roger Yat-Nork Chung, 2022. "Built Environment and Physical Activity among Adults in Hong Kong: Role of Public Leisure Facilities and Street Centrality," Land, MDPI, vol. 11(2), pages 1-16, February.
    3. Benita, Francisco & Piliouras, Georgios, 2020. "Location, location, usage: How different notions of centrality can predict land usage in Singapore," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    4. Burcu H. Ozuduru & Chris J. Webster & Alain J. F. Chiaradia & Eda Yucesoy, 2021. "Associating street-network centrality with spontaneous and planned subcentres," Urban Studies, Urban Studies Journal Limited, vol. 58(10), pages 2059-2078, August.
    5. Hussain, Zahid & Nadeem, Obaidullah, 2021. "The nexus between growth strategies of master plans and spatial dynamics of a metropolitan city: The case of Lahore, Pakistan," Land Use Policy, Elsevier, vol. 109(C).
    6. An, Zihao & Xie, Bo & Liu, Qiyang, 2023. "No street is an Island: Street network morphologies and traffic safety," Transport Policy, Elsevier, vol. 141(C), pages 167-181.
    7. Zhou, You & Zhang, Lingzhu & Chiaradia, Alain J F, 2021. "An adaptation of reference class forecasting for the assessment of large-scale urban planning vision, a SEM-ANN approach to the case of Hong Kong Lantau tomorrow," Land Use Policy, Elsevier, vol. 109(C).

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