Spatial patterns of tourist accommodation location through complementary and integrated analyses: GIS, space syntax and web-scraping
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Abstract
Urban tourism is an important activity in cities today. It is responsible for the transformation and specialization of multiple urban areas around the world, which is not without problems. Research on it has only been carried out on large cities, with a knowledge gap in relation to lower-scale urban categories. Accommodation is the basic infrastructure that supports it, its location being an indicator of tourist suitability. The aim of this work is to know which environmental factors and to what extent they support the choice of accommodation according to its location. For this purpose, the studied accommodations are geocoded, influencing factors are mapped, and spatial and proximity analyses are carried out. Subsequently, the correlation between environmental factors and travellers' post-purchase web evaluations is statistically verified. The results show how urban tourism is spatially distributed according to patterns based on land use and proximity to tourist attractions. There is evidence of a typical tourist structure of medium-sized cities made up of well-valued accommodation locations close to heritage tourist concentrations located within the historic centre. The results can be useful for private investment and planning to improve these cities.
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