Understanding the determinants of where and what kind of home accommodation to build
As homestays have developed rapidly, it is necessary to understand the factors affecting their density and type distribution at the micro scale. Based on the Internet data of home accommodation, the spatial distribution characteristics of homestays in Shenzhen are studied by the nearest neighbour an...
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Ecological Indicators |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23009457 |
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author | Yun Qian Huizhen Zhu Jiansheng Wu |
author_facet | Yun Qian Huizhen Zhu Jiansheng Wu |
author_sort | Yun Qian |
collection | DOAJ |
description | As homestays have developed rapidly, it is necessary to understand the factors affecting their density and type distribution at the micro scale. Based on the Internet data of home accommodation, the spatial distribution characteristics of homestays in Shenzhen are studied by the nearest neighbour analysis, and type distribution characteristics are analysed by NVivo. The impacts of factors are discussed through geographical detectors. We conclude that Shenzhen's homestays are multi-centre agglomeration and development in space with the flat floor as the main house structure and the modern style as the main decoration style. The spatial distribution is mainly affected by social and economic factors such as the density of bus stations and subways. The density and diversity of the homestays is high with the nearest and farthest distance to the railway station and the popular tourist destination beach while low with the mediate distance, featured with dumbbell shape. |
first_indexed | 2024-03-12T00:10:36Z |
format | Article |
id | doaj.art-e293ddfbf1d84bde9526a465ae3b71ef |
institution | Directory Open Access Journal |
issn | 1470-160X |
language | English |
last_indexed | 2024-03-12T00:10:36Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Ecological Indicators |
spelling | doaj.art-e293ddfbf1d84bde9526a465ae3b71ef2023-09-16T05:30:00ZengElsevierEcological Indicators1470-160X2023-10-01154110803Understanding the determinants of where and what kind of home accommodation to buildYun Qian0Huizhen Zhu1Jiansheng Wu2Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, ChinaSchool of Urban Planning and Design, Peking University, Shenzhen 518055, ChinaKey Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China; Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China; Corresponding author at: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China.As homestays have developed rapidly, it is necessary to understand the factors affecting their density and type distribution at the micro scale. Based on the Internet data of home accommodation, the spatial distribution characteristics of homestays in Shenzhen are studied by the nearest neighbour analysis, and type distribution characteristics are analysed by NVivo. The impacts of factors are discussed through geographical detectors. We conclude that Shenzhen's homestays are multi-centre agglomeration and development in space with the flat floor as the main house structure and the modern style as the main decoration style. The spatial distribution is mainly affected by social and economic factors such as the density of bus stations and subways. The density and diversity of the homestays is high with the nearest and farthest distance to the railway station and the popular tourist destination beach while low with the mediate distance, featured with dumbbell shape.http://www.sciencedirect.com/science/article/pii/S1470160X23009457Home accommodationSpatial distributionText analysisGeodetector |
spellingShingle | Yun Qian Huizhen Zhu Jiansheng Wu Understanding the determinants of where and what kind of home accommodation to build Ecological Indicators Home accommodation Spatial distribution Text analysis Geodetector |
title | Understanding the determinants of where and what kind of home accommodation to build |
title_full | Understanding the determinants of where and what kind of home accommodation to build |
title_fullStr | Understanding the determinants of where and what kind of home accommodation to build |
title_full_unstemmed | Understanding the determinants of where and what kind of home accommodation to build |
title_short | Understanding the determinants of where and what kind of home accommodation to build |
title_sort | understanding the determinants of where and what kind of home accommodation to build |
topic | Home accommodation Spatial distribution Text analysis Geodetector |
url | http://www.sciencedirect.com/science/article/pii/S1470160X23009457 |
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