A spatial–temporal analysis of hotels in urban tourism destination

Abstract

a b s t r a c tThis study investigates the spatial associations of urban tourism phenomena by using GIS and statistical methods to examine the relationships between hotels and land use types, attractions, transportation facilities, and the economic variables of the tertiary planning units in which the hotels are located. Hong Kong is used as an example. The study first introduces the spatial characteristics of hotels and attractions development in Hong Kong. A geographical information system is then used to map hotels and investigate the characteristics of the land use, attractions, and transport facilities around hotels. The spatial relationships are then analyzed with a set of logistic regression models. The results reveal that commercial land type and the number of attractions around hotels are significantly related to the distribution of upper-grade hotels in Hong Kong. The determinants vary over time and the spatial structure changes accordingly. The analysis is important theoretically as it enriches the methodologies for analyzing the relationships between hotels and urban structure, and for conceptualizing and identifying tourism functional zones. It is important for practitioners as it provides useful information for selecting sites for hotels.

A Spatial Analysis of Tourism Infrastructure in Romania: Spotlight on Accommodation and Food Service Companies

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Networking in a Destination from the Perspective of Virtual Relationships and their Spatial Dimension

“…The specific set of linkages among a defined set of entities in the network may be used to interpret the behaviour of the entities involved (Mitchell, 1969). Moreover, the analysis is theoretically important as it enriches the methodologies not only for analysing the relationships but also for conceptualizing and identifying tourism functional zones (Li et al, 2015).…”

Impact of Tourism Growth on the Changing Landscape of a World Heritage Site: Case of Luang Prabang, Lao PDR

“…The statistical methods for categorical data are useful for this study since the majority of building attributes are categorical data. Logistic regression was used to validate the spatial pattern of changes [34,35], and a chi-square test of independence to find out the relation between touristic usage and significant changes in the built environment [36]. The entire cohort of buildings in the six villages was analyzed.…”

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“…where ln P 1−P is the log odds ratio; P, probability; β i , coefficient; and x i , independent variable [35]. It is observed in GIS' spatial analysis that conversion from residential to touristic usage and new touristic buildings occurred along riverbank areas [16].…”