Classification of POI data related to tourism and leisure facilities in the main urban area of Beijing.
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posted on 2025-03-04, 18:28 authored by Shifeng Wu, Jiangyun Wang, Yinuo Jia, Jintian Yang, Jixiu LiClassification of POI data related to tourism and leisure facilities in the main urban area of Beijing.
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predictive analysis suggestskey findings includeholds significant potentialfitting degree testedcity &# 82175 %, suggestsoffering valuable insightsmodel training indicatesmachine learning algorithmbeijing &# 8217main urban areadensely populated areasareas currently devoidsmart tourism citiesleisure facilities basedoverall urban layoutpoi big datatourism citiesspecific insightsmaking modelleisure facilitiescart algorithmbeijing exhibiturban coreurban centerxlink ">various levelsstudy aimsstrategic placementspatial layoutsspatial arrangementsite selectionshopping choicesquantitatively simulateprospective sitesproposed methodperipheral regionsnew tourisminherent subjectivityhighly feasiblehigher concentrationexisting tourismdistribution patternsdemographic datacentralized layoutcentral axisaccommodation availability
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