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The environmental product variety and retail rents on central urban shopping areas

A multi-stage spatial data mining method

Bibliographic Data

ID21246946
AuthorsTony Shun-Te Yuo (0000-0002-6298-9067, National Taipei University), Tzuhui Angie Tseng (0000-0003-3683-830X, National Tsing Hua University, corresponding author)
Year2021
Volume48
Issue8
Pages2167-2187
Publication date2021-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2399808320966607
OpenAlexW3095550093
LanguageEN
Citations received3
References cited31

This study examines the relationship between various measures of environmental product variety and retail rents in central urban shopping areas. Using a Geographic Information System (GIS)-based detailed survey database, this research identified 34 layers of environmental product variety in the most representative single-centred shopping areas of the six largest cities in Taiwan. This research extracted layers of product variety and other measures of product variety, such as the number of layers of product variety above each point of interest, the density, the Core/Periphery factor scores, the Shannon entropy index, the Simpson diversity index and the Herfindahl–Hirschman index of each street line buffer area. The proposed method was used to generate three-dimensional maps of the rent gradient and the extracted core and periphery layers of product variety. Thus, a tool was developed for examining the variety features from various angles. The results showed that, in general, the higher the product variety, the higher the rents. Nevertheless, the scores for the core and periphery of the environmental product variety were the dominant determinants; street line buffer areas can only have lower rents if they lacked the correct (i.e. the core layers) environmental product variety, even if they have higher measurements of other variety features

Business · Economic rent · Economics · Geography · Microeconomics · Statistics · World Wide Web · Computer Science · Consumer Retail Behavior Studies · Land Use and Ecosystem Services · Mathematics · Regional Economics and Spatial Analysis · Marketing

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Unique citing works3
Citations per year0,75
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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