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The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix

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  • Ha Na Im

    (The Seoul Institute, Republic of Korea)

  • Chang Gyu Choi

    (Hanyang University, Republic of Korea)

Abstract

This study clarifies the previously unknown limitations of the entropy-based land-use mix index and suggests conditions under which the index is valid. The land-use mix index has an n-shaped relationship to dependent variables, which was evidenced by this study, but previous studies have ignored the problem. This study identified a non-linear relationship between the land-use mix index and a common dependent variable of interest, pedestrian volume. Pedestrian volume is a common measure of the vitality of a district and/or a city and a major goal of urban design and regeneration. Using mathematical analysis, simulation, and empirical analysis, this study found that the land-use mix index had an inconsistent quadratic relationship to pedestrian volume. It was confirmed that an analytical model using the land-use mix index, and that index squared, should be used together when samples representative of entire cities are tested. Otherwise, in samples from predominantly residential areas, the land-use mix index positively relates to pedestrian volume, whereas, in predominantly commercial areas, it will be negative. Previous studies failed to observe the hidden side of the entropy-based land-use mix index in commercial areas because their focus was mainly on residential areas or residents. Future studies should clarify the logical and theoretical relationships between the index and the outcome variable of interest, review the characteristics of the data and, then, implement appropriate statistical analyses by being aware of the hidden side.

Suggested Citation

  • Ha Na Im & Chang Gyu Choi, 2019. "The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix," Urban Studies, Urban Studies Journal Limited, vol. 56(9), pages 1865-1881, July.
    • Handle: RePEc:sae:urbstu:v:56:y:2019:i:9:p:1865-1881
    DOI: 10.1177/0042098018763319
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    References listed on IDEAS

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    Cited by:

    1. Eun Yeong Seong & Nam Hwi Lee & Chang Gyu Choi, 2021. "Relationship between Land Use Mix and Walking Choice in High-Density Cities: A Review of Walking in Seoul, South Korea," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    2. Alireza Mohammadi & Behzad Kiani & Hassan Mahmoudzadeh & Robert Bergquist, 2023. "Pedestrian Road Traffic Accidents in Metropolitan Areas: GIS-Based Prediction Modelling of Cases in Mashhad, Iran," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
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    4. Jiayi Liu & Yanbin Li & Yanhan Xu & Castiel Chen Zhuang & Yang Hu & Yue Yu, 2024. "Impacts of Built Environment on Urban Vitality in Cultural Districts: A Case Study of Haikou and Suzhou," Land, MDPI, vol. 13(6), pages 1-26, June.
    5. Ha Na Im & Chang Gyu Choi, 2020. "Measuring pedestrian volume by land use mix: Presenting a new entropy-based index by weighting walking generation units," Environment and Planning B, , vol. 47(7), pages 1219-1236, September.
    6. Eun Yeong Seong & Youngjae Lim & Chang Gyu Choi, 2022. "Why are convenience stores clustered? The reasons behind the clustering of similar shops and the effect of increased competition," Environment and Planning B, , vol. 49(3), pages 834-846, March.
    7. Seong, Eun Yeong & Kim, Hyung Min & Kang, Jingu & Choi, Chang Gyu, 2023. "Developing pedestrian cities: The contribution of land readjustment projects to street vitality in Seoul, South Korea," Land Use Policy, Elsevier, vol. 131(C).
    8. Wenxiao Wang & Yi Zhang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Lanjing Wang, 2021. "Nonlinear Associations of the Built Environment with Cycling Frequency among Older Adults in Zhongshan, China," IJERPH, MDPI, vol. 18(20), pages 1-19, October.

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