The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix (Record no. 11467)

MARC details
000 -LEADER
fixed length control field 02230nab a2200205 4500
005 - DATE & TIME
control field 20210304115354.0
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Im, Ha Na
245 ## - TITLE STATEMENT
Title The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage
Date of publication, distribution, etc 2019
300 ## - PHYSICAL DESCRIPTION
Pages Vol 56, Issue 9, 2019 : (1865-1881 p.)
520 ## - SUMMARY, ETC.
Summary, etc 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.<br/>
650 ## - Subject
Subject diversity
700 ## - Added Entry Personal Name
Added Entry Personal Name Choi, Chang Gyu
773 0# - HOST ITEM ENTRY
Host Biblionumber 11188
Host Itemnumber 15499
Place, publisher, and date of publication sage, 2019.
Title Urban studies
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/0042098018763319
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Articles
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-- 44903
650 ## - Subject
-- 44904
700 ## - Added Entry Personal Name
-- 44905
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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