The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China

With the development of service industry and cultural industry, urban leisure and entertainment services have become an important symbol of the city and the driving force of economic and social development. Karaoke, a typical form of urban entertainment, is immensely popular throughout China, and th...

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Main Authors: Can Cui, Jiechen Wang, Zhongjie Wu, Jianhua Ni, Tianlu Qian
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/5/9/150
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spelling doaj-7dd574e0d2b244c48a8234f58e5779582020-11-25T00:06:22ZengMDPI AGISPRS International Journal of Geo-Information2220-99642016-08-015915010.3390/ijgi5090150ijgi5090150The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, ChinaCan Cui0Jiechen Wang1Zhongjie Wu2Jianhua Ni3Tianlu Qian4Department of Geographic Information Science, Nanjing University, Nanjing 210023, ChinaDepartment of Geographic Information Science, Nanjing University, Nanjing 210023, ChinaDepartment of Geographic Information Science, Nanjing University, Nanjing 210023, ChinaDepartment of Geographic Information Science, Nanjing University, Nanjing 210023, ChinaDepartment of Geographic Information Science, Nanjing University, Nanjing 210023, ChinaWith the development of service industry and cultural industry, urban leisure and entertainment services have become an important symbol of the city and the driving force of economic and social development. Karaoke, a typical form of urban entertainment, is immensely popular throughout China, and the number of karaoke bars is expected to keep growing in the future. However, little is known about their spatial distribution in the urban space and their association with other location-specific factors. Based on the geospatial entity data and business statistics data, we demonstrate a clustered pattern of 530 karaoke bars in Nanjing by means of point pattern analysis and cluster analysis in GIS. Furthermore, we identify the distribution of population, transportation network, and commercial centers as the three determinants underlying the formation of the pattern.http://www.mdpi.com/2220-9964/5/9/150socio-spatial distributionkaraoke barleisure venueChina
collection DOAJ
language English
format Article
sources DOAJ
author Can Cui
Jiechen Wang
Zhongjie Wu
Jianhua Ni
Tianlu Qian
spellingShingle Can Cui
Jiechen Wang
Zhongjie Wu
Jianhua Ni
Tianlu Qian
The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
ISPRS International Journal of Geo-Information
socio-spatial distribution
karaoke bar
leisure venue
China
author_facet Can Cui
Jiechen Wang
Zhongjie Wu
Jianhua Ni
Tianlu Qian
author_sort Can Cui
title The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
title_short The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
title_full The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
title_fullStr The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
title_full_unstemmed The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
title_sort socio-spatial distribution of leisure venues: a case study of karaoke bars in nanjing, china
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2016-08-01
description With the development of service industry and cultural industry, urban leisure and entertainment services have become an important symbol of the city and the driving force of economic and social development. Karaoke, a typical form of urban entertainment, is immensely popular throughout China, and the number of karaoke bars is expected to keep growing in the future. However, little is known about their spatial distribution in the urban space and their association with other location-specific factors. Based on the geospatial entity data and business statistics data, we demonstrate a clustered pattern of 530 karaoke bars in Nanjing by means of point pattern analysis and cluster analysis in GIS. Furthermore, we identify the distribution of population, transportation network, and commercial centers as the three determinants underlying the formation of the pattern.
topic socio-spatial distribution
karaoke bar
leisure venue
China
url http://www.mdpi.com/2220-9964/5/9/150
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