Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data

Abstract

Visiting tourists and residents of a city interact at various locations at various times. Previous studies paid little attention to comparing the spatio-temporal behaviours of tourists and residents from a long-term perspective. The aim of the present study was to identify and compare the spatio-temporal behaviours of mainland Chinese tourists and residents in Hong Kong over a period of five years. Their behaviours were compared by means of kernel density analysis and temporal statistical analysis, using Weibo geotagged check-in data and geographic information systems (GIS). The results show that the spatial behaviours of mainland Chinese tourists (MCT) are more concentrated than those of residents, especially in central urban areas, whereas residents also visit suburban and exurban areas. Simultaneously, MCTs' temporal behaviours varied significantly, whereas those of residents were relatively stable. From a long-term perspective, we found that in the central urban area, MCTs' preferences for locations tended to be relatively fixed, but their activity in local neighbourhoods and residential quarters decreased. However, residents' interest in typical tourism highlights decreased reflecting potential strategies of avoidance in those areas whereas their activities in other tourism hotspots were more stable. These findings can be applied in urban planning, destination management and sustainable development.

RETRACTED: Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo

“…In most cases, tourists and residents are not set apart and rather increasingly share the same venues and facilities within a city [36], which can be observed by analyzing and comparing the spatiotemporal patterns of both groups in the city. In order to better compare the spatiotemporal patterns, it is important to discuss the temporal and spatial patterns as well as the nature of the places where the tourists and residents may interact [37]. Gu et al [29] identified resident and non-resident areas from the location of the registered user ID to find the origins of social media users.…”

“…Paldino et al [13] and Kotus et al [4] also confirmed that tourists are more active in central areas of the city, whereas residents are active in socializing places like squares, parks, and sports facilities, by comparing both the tourists' and residents' data. In urban tourism, the activities of tourists and residents are not only unevenly distributed in space, but also in time [37,39]. Li et al [40] presented the uneven distribution in days-, weeks-, and holidays-related differences of the Chinese tourist activities in Lijiang.…”

Understanding the perceived satisfaction and revisiting intentions of lodgers in a restricted service scenario: evidence from the hotel industry in quarantine

“…Assurance is demonstrated through hotel staff skills and competence, courteousness, and ability to inspire trust and confidence in the guests being serviced (Fredrick 2019;Shahin et al 2010;Shahin et al 2006;Parasuraman et al 1985). Studies on hospitality found that service assurance for hotels significantly influences customer perception (Su et al 2020;Aguiar-Quintana et al 2016;Lam and Zhang 1999). Additionally, travelers who are involved in health care also demand more protection when they receive services (Manna et al 2020;Collins et al 2019;Pan and Moreira 2018;Drinkert and Singh 2017).…”

Shopping Destination Image and Loyalty: Do Tourist and Resident Perceive Differently?

“…Previous studies report that tourists and residents have distinct expectations and attitudes towards the product or service they purchased, which results in different behaviours (Lloyd et al, 2011;Su, Spierings, Dijst, & Tong, 2019). Shopping destinations classify tourists and residents into two different groups with distinct explanations for each group for shopping.…”