Measuring pedestrian volume by land use mix: Presenting a new entropy-based index by weighting walking generation units
- Authors
- Im, Ha Na; Choi, Chang Gyu
- Issue Date
- Sep-2020
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- Land use diversity; pedestrian volume; entropy-based land use mix index; walking generation unit; entropy-based weighted land use mix index; Seoul
- Citation
- ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, v.47, no.7, pp.1219 - 1236
- Indexed
- SSCI
SCOPUS
- Journal Title
- ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
- Volume
- 47
- Number
- 7
- Start Page
- 1219
- End Page
- 1236
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145170
- DOI
- 10.1177/2399808318824112
- ISSN
- 2399-8083
- 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.
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