首页|Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

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Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction net-works has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geot-agging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004-2007),the Olympic Games and subsequent'heat period'(2008-2013),the post-Olympic period(2014-2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020-2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonal-ities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is signi-ficant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional poly-centric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete in-formation and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern struc-ture at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.

attraction networktravel mobilitypolycentric structurenetwork motifconnectivity mechanismdestination management organization(DMO)destination planningBeijing,China

JIANG Hongqiang、WEI Ye、MEI Lin、WANG Zhaobo

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School of Resource and Environment Engineering,Ludong University,Yantai 264025,China

School of Geographical Sciences,Northeast Normal University,Changchun 130024,China

Changchun University of Finance and Economics,Changchun 130122,China

Jilin Jizhi City Architectural Design Co.,LTD,Changchun 130012,China

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国家自然科学基金国家自然科学基金Fundamental research funding targets for central universities

41971202422011812412022QD002

2024

10.1007/s11769-024-1417-x

中国地理科学(英文版)
中国科学院长春地理研究所

中国地理科学(英文版)

CSTPCD
影响因子：0.754
ISSN：1002-0063
年,卷(期)：2024.34(3)
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