The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China
With the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantified the spatiotemporal correlation patterns of residents’ leisure activities and tourists’ activities. To fill...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/12/6/223 |
| _version_ | 1797594456170430464 |
|---|---|
| author | Jiemin Zheng Mingxing Hu Junheng Qi Bing Han Hui Wang Feifei Xu |
| author_facet | Jiemin Zheng Mingxing Hu Junheng Qi Bing Han Hui Wang Feifei Xu |
| author_sort | Jiemin Zheng |
| collection | DOAJ |
| description | With the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantified the spatiotemporal correlation patterns of residents’ leisure activities and tourists’ activities. To fill this gap, this paper takes Nanjing as an example to study the temporal and spatial correlation between residents’ leisure activities and tourists’ activities based on mobile phone signal data. First, through kernel density analysis, it is found that there is a spatial overlap between residents’ leisure activities and tourists’ activities. Then, the spatial and temporal correlation patterns of residents’ leisure activities and tourists’ activities are analyzed through the colocation quotient. According to our findings, (1) residents’ leisure activities and tourists’ activities are not spatially correlated, indicating that they are relatively independent in space both during the week and on weekends. (2) On weekday afternoons, the spatial correlation between residents’ and tourists’ leisure activities is strongest. On weekends, the night is when residents’ leisure activities and tourists’ activities are most closely related. (3) The correlation area is mainly distributed in areas near famous scenic spots, as well as public spaces such as parks and squares. Based on the above analysis, this paper aims to study the resident-tourist interaction in the spatial context to provide directions for improving the attractiveness of cities, urban transportation, services, and marketing strategies. |
| first_indexed | 2024-03-11T02:22:52Z |
| format | Article |
| id | doaj.art-cd262457a7e14073b18d56de9b8e5076 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-11T02:22:52Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-cd262457a7e14073b18d56de9b8e50762023-11-18T10:43:36ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-05-0112622310.3390/ijgi12060223The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, ChinaJiemin Zheng0Mingxing Hu1Junheng Qi2Bing Han3Hui Wang4Feifei Xu5School of Architecture, Si Pailou Campus of Southeast University, Nanjing 210096, ChinaSchool of Architecture, Si Pailou Campus of Southeast University, Nanjing 210096, ChinaSchool of Architecture, Si Pailou Campus of Southeast University, Nanjing 210096, ChinaCollege of Horticulture, Jinling Institute of Technology, Nanjing 210038, ChinaCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaSchool of Humanities, Southeast University, Nanjing 210096, ChinaWith the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantified the spatiotemporal correlation patterns of residents’ leisure activities and tourists’ activities. To fill this gap, this paper takes Nanjing as an example to study the temporal and spatial correlation between residents’ leisure activities and tourists’ activities based on mobile phone signal data. First, through kernel density analysis, it is found that there is a spatial overlap between residents’ leisure activities and tourists’ activities. Then, the spatial and temporal correlation patterns of residents’ leisure activities and tourists’ activities are analyzed through the colocation quotient. According to our findings, (1) residents’ leisure activities and tourists’ activities are not spatially correlated, indicating that they are relatively independent in space both during the week and on weekends. (2) On weekday afternoons, the spatial correlation between residents’ and tourists’ leisure activities is strongest. On weekends, the night is when residents’ leisure activities and tourists’ activities are most closely related. (3) The correlation area is mainly distributed in areas near famous scenic spots, as well as public spaces such as parks and squares. Based on the above analysis, this paper aims to study the resident-tourist interaction in the spatial context to provide directions for improving the attractiveness of cities, urban transportation, services, and marketing strategies.https://www.mdpi.com/2220-9964/12/6/223spatial correlationurban tourismcolocation quotientmobile phone signaling data |
| spellingShingle | Jiemin Zheng Mingxing Hu Junheng Qi Bing Han Hui Wang Feifei Xu The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China ISPRS International Journal of Geo-Information spatial correlation urban tourism colocation quotient mobile phone signaling data |
| title | The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China |
| title_full | The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China |
| title_fullStr | The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China |
| title_full_unstemmed | The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China |
| title_short | The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China |
| title_sort | spatial association between residents leisure activities and tourism activities using colocation pattern measures a case study of nanjing china |
| topic | spatial correlation urban tourism colocation quotient mobile phone signaling data |
| url | https://www.mdpi.com/2220-9964/12/6/223 |
| work_keys_str_mv | AT jieminzheng thespatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT mingxinghu thespatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT junhengqi thespatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT binghan thespatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT huiwang thespatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT feifeixu thespatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT jieminzheng spatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT mingxinghu spatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT junhengqi spatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT binghan spatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT huiwang spatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina AT feifeixu spatialassociationbetweenresidentsleisureactivitiesandtourismactivitiesusingcolocationpatternmeasuresacasestudyofnanjingchina |