The Spatial Association between Residents’ Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China

• Published in: ISPRS international journal of geo-information 2023-06, Vol.12 (6), p.223
• Main Authors: Zheng, Jiemin, Hu, Mingxing, Qi, Junheng, Han, Bing, Wang, Hui, Xu, Feifei
• Format: Article
• Language: English
• Subjects: Analysis; Big Data; Case studies; Cellular telephones; Cities; colocation quotient; Correlation; Leisure; Local transit; Marketing; mobile phone signaling data; Quantitative analysis; Recreation; spatial correlation; Sports facilities; Tourism; Tourist activities; Tourists; Travel industry; Urban areas; urban tourism; Urban transportation
• ISSN: 2220-9964; 2220-9964
• DOI: 10.3390/ijgi12060223

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.