Comparing differences in the spatiotemporal patterns between resident tourists and non-resident tourists using hotel check-in registers

Xu, Yuquan; Ran, Xiaobin; Liu, Yuewen; Huang, Wei

doi:10.1016/j.tmp.2021.100860

Cited by 9 publications

(3 citation statements)

References 67 publications

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“…Compared to residents' familiarity with long-term life in their city, tourists' stay time is brief [42]. Therefore, their perception of the city relies more on the intuitive stimulation of tourism imagery elements [43], and the imagery elements thus have great significance in urban tourism research.…”

Section: Urban Tourism Imagerymentioning

confidence: 99%

Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

Hu,

Chen

2023

Sustainability

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Urban tourism imagery is an essential factor affecting the competitiveness of cities. However, most existing studies use small data methods such as interviews and questionnaires to explore tourists’ perceptions of cities without combining big data for analysis. In addition, there is relatively little research on the tourism imagery of coastal cities. Therefore, this study analyzes the data from 523 travelogues from a three-dimensional perspective of identity, structure, and meaning, using methods such as BERTopic, aiming to explore the tourism imagery of coastal cities perceived by tourists. The results show the following: (1) In terms of identity, Sanya’s urban tourism imagery has the attribute of “external explicit-internal implicit”, which satisfies tourists’ visual and spiritual experiences. (2) Regarding structure, Sanya has a clear regional division of imagery and a core–edge diffusion distribution among regions. (3) Regarding meaning, tourists’ attitudes toward Sanya are polarized. Positive emotions predominate in the overall perception of meaning, but 25% of the negative emotions require urgent attention. This study provides a reference for the sustainable development of tourism cities and the marketing management of destinations.

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Section: Urban Tourism Imagerymentioning

confidence: 99%

Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

Hu,

Chen

2023

Sustainability

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“…According to the World Tourism Organization (WTO) definition, tourism is traveling and staying outside the place of permanent residence for business or other purposes for more than 24 h but not longer than one year [22,23]. It is noted that the spatial movement patterns of tourists are fundamentally different from the spatial movement patterns of residents [24,25]. Tourists' movement patterns are "no turning back" or circular or even nodal [25].…”

Section: Connections Between Transport and Tourismmentioning

confidence: 99%

The Impact of the COVID-19 Pandemic, Transport Accessibility, and Accommodation Accessibility on the Energy Intensity of Public Tourist Transport

Szaruga,

Pilecki,

Sidorkiewicz

2023

Energies

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The article concerns the recognition of the impact of the COVID-19 pandemic, transport accessibility, and accommodation availability on the energy intensity of domestic travel by tourists using public transport in spatial and dynamic relations. The article formulated five research questions: (1) Does the improvement of transport accessibility reduce the energy intensity of public tourist transport? (2) Does the improvement of accommodation availability affect the reduction of the energy intensity of domestic tourist trips of Polish residents? (3) Has COVID-19 significantly changed the energy intensity of public tourist transport? (4) Are there any spatial effects of energy intensity of domestic tourist trips of Polish inhabitants resulting from the flow of tourists between regions (voivodeships) of Poland? (5) What would be the path of energy intensity patterns of public tourist transport if fortuitous events did not occur? The study covered 16 Polish voivodeships in 2017–2021. A comprehensive approach was used, combining exploratory analysis of spatial data with regional econometrics, spatial statistics, and spatial econometrics (gravitational model of spatial convergence of energy intensity of public transport of tourists). It has been verified that the energy intensity of domestic tourist travel by public transport is the most sensitive to the effects of the COVID-19 pandemic and the most flexible to changes in transport accessibility. It is less sensitive to changes in accommodation availability. The occurrence of spatial convergence, i.e., the blurring of differences in energy intensity patterns between the analyzed voivodeships, was also identified. An increase in energy intensity in voivodeships defined as neighboring voivodeships by 1% will result in an increase in energy intensity in the i-th voivodeship by 0.2688% on average, which results from the spatial effects of changes in mobility and tourist flows (tourism). Consumption patterns shaped in previous periods also have a significant impact on energy intensity.

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“…The quantitative analysis methods used in current studies include kernel density analysis [17], density-based spatial clustering of applications with noise (DBSCAN) [16], regression analyses [25], etc. However, these methods cannot accurately obtain the spatiotemporal correlation space of residents and tourists, nor do they allow an overall measurement of the sharing of urban space.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Zheng

et al. 2023

IJGI

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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.

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Comparing differences in the spatiotemporal patterns between resident tourists and non-resident tourists using hotel check-in registers

Cited by 9 publications

References 67 publications

Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

The Impact of the COVID-19 Pandemic, Transport Accessibility, and Accommodation Accessibility on the Energy Intensity of Public Tourist Transport

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

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