Research framework.

<div><p>The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights, holds significant potential f...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shifeng Wu (16612230) (author)
مؤلفون آخرون:	Jiangyun Wang (1421851) (author), Yinuo Jia (16612233) (author), Jintian Yang (2297791) (author), Jixiu Li (9580017) (author)
منشور في:	2025
الموضوعات:	Cell Biology Cancer Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified predictive analysis suggests key findings include holds significant potential fitting degree tested city &# 8217 5 %, suggests offering valuable insights model training indicates machine learning algorithm beijing &# 8217 main urban area densely populated areas areas currently devoid smart tourism cities leisure facilities based overall urban layout poi big data tourism cities specific insights making model leisure facilities cart algorithm beijing exhibit urban core urban center xlink "> various levels study aims strategic placement spatial layouts spatial arrangement site selection shopping choices quantitatively simulate prospective sites proposed method peripheral regions new tourism inherent subjectivity highly feasible higher concentration existing tourism distribution patterns demographic data centralized layout central axis accommodation availability
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Research framework.

مواد مشابهة