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Measuring pedestrian volume by land use mix: Presenting a new entropy-based index by weighting walking generation units

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  • Ha Na Im

    (The Seoul Institute, Republic of Korea)

  • Chang Gyu Choi

Abstract

This study proposes an alternative to the conventional entropy-based land use mix index, which is generally used to measure the diversity of land use. Pedestrian volume was selected as the dependent variable as it represents the vitality of districts, which many recent urban studies now consider important. The study investigates an entropy-based weighted land use mix index, which is weighted by different land use types. For the index, different areas are needed to generate a unit of pedestrian volume, whose measure is m 2 /person/day. The study demonstrates that this alternative is more effective than the existing conventionally used entropy-based land use mix index for explaining pedestrian volume. The research confirms that the conventionally used entropy-based land use mix index can have a positive or negative impact depending on the land use characteristics of the survey points because the conventionally used entropy-based land use mix index has a non-linear relationship with pedestrian volume. By analysing 9727 surveyed locations of pedestrian volume in Seoul, Korea, the study demonstrates that the weighted land use mix index, rather than the conventionally used entropy-based land use mix index, can improve the explanatory power of the estimation model for the relationship between pedestrian volume and built environments, showing consistent results throughout the empirical analysis. In future built-environment studies, the utility of the weighted land use mix index is expected to improve if studies include how to find the accurate weighting of the land use in estimating the pedestrian volume.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:7:p:1219-1236
    DOI: 10.1177/2399808318824112
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    References listed on IDEAS

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    7. 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.
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    Cited by:

    1. Motieyan, Hamid & Azmoodeh, Mohammad, 2021. "Mixed-use distribution index: A novel bilevel measure to address urban land-use mix pattern (A case study in Tehran, Iran)," Land Use Policy, Elsevier, vol. 109(C).
    2. Zhehao Zhang & Thomas Fisher & Haiming Wang, 2023. "Walk Score, Environmental Quality and Walking in a Campus Setting," Land, MDPI, vol. 12(4), pages 1-19, March.
    3. 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.
    4. Alessia Iannillo & Isidoro Fasolino, 2021. "Land-Use Mix and Urban Sustainability: Benefits and Indicators Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    5. 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).

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