Structural Cities: Delimiting Retailing Center Boundaries and Their Hierarchical Characteristics in Urban China Based on GPS-Enabled Taxi Data (Record no. 11191)

MARC details
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fixed length control field 01645nab a2200265 4500
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control field 20210202142626.0
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Nong, Yun
245 ## - TITLE STATEMENT
Title Structural Cities: Delimiting Retailing Center Boundaries and Their Hierarchical Characteristics in Urban China Based on GPS-Enabled Taxi Data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Pages Vol 39, Issue 3, 2019 (345-359p.)
520 ## - SUMMARY, ETC.
Summary, etc Previous behavioral studies on urban structure have been limited by the scale, accuracy, or promptness in obtaining statistical data used for delimiting retail center boundaries and hierarchical analysis. Using a large amount of GPS-enabled taxi data from Guangzhou, China, this research attempts to delimit the boundaries of retailing centers and explore their hierarchical characteristics. The identified retailing centers are verified with economic census data, and the retailing hierarchical structure is identified through assessing trip summation, travel distance, and travel time. Among these indicators, trip summation reveals hierarchical characteristics best. The urban retailing hierarchical structure also reveals the centrality of urban Guangzhou.
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Subject big data,
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Subject China,
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Subject retailing center,
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Subject urban structure
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Added Entry Personal Name Zhou, Suhong
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Added Entry Personal Name Liu, Lin
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Added Entry Personal Name Li, Qiuping
773 0# - HOST ITEM ENTRY
Host Biblionumber 11153
Host Itemnumber 15496
Place, publisher, and date of publication Sage, 2019.
Title Journal of Planning Education and Research
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/0739456X17741964
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Koha item type Articles
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