长三角地区潜在自驾旅游流及网络结构特征--基于修正引力模型  

Potential Self-driving Tourism Flow and Its Network Structure Characteristics in the Yangtze River Delta

作　　者：俞艳婷 王佳韡[2] 徐玲琳 伍世代[3] YU Yanting;WANG Jiawei;XU Linglin;WU Shidai(School of Architecture and Civil Engineering,Xiamen University,Xiamen 361005,Fujian,China;School of Cultural Tourism and Public Administration,Fujian Normal University,Fuzhou 350117,China;Institute of Geography,Fujian Normal University,Fuzhou 350117,China)

机构地区：[1]厦门大学建筑与土木工程学院,厦门361005 [2]福建师范大学文化旅游与公共管理学院,福州350117 [3]福建师范大学地理研究所,福州350117

出　　处：《亚热带资源与环境学报》2024年第2期157-166,共10页Journal of Subtropical Resources and Environment

基　　金：福建省自然科学基金项目(2023J01286);福建省科技厅省属公益类科研专项(2023R1002005)。

摘　　要：基于旅游修正引力模型,构建自驾游目的地吸引力和客源地出游力综合评价指标体系,对长三角地区潜在自驾旅游流进行测度,并采用社会网络分析法探究自驾旅游流网络结构及节点特征。结果表明:1)长三角地区呈现客源地出游力“中南强,北弱”和目的地吸引力“东强西弱”格局。2)潜在自驾旅游流网络密度偏低,城市间联系不紧密,呈现明显的“核心-边缘”格局。3)南京、杭州等城市中心性高,成为自驾旅游流网络中的核心枢纽及集散中心;苏州、无锡等城市为次核心;淮北、蚌埠、阜阳等13个城市处于网络中的边缘地位。4)南京、杭州、苏州等8个城市位于网络中的结构洞位置,具有更强的控制性、独立性和更突出的区位优势。Based on the tourism modified gravity model,this study constructs a comprehensive evaluation index system for the attractiveness of self-driving tourism destinations and the travel force of tourist sources.It measures the potential self-driving tourism flow in the Yangtze River Delta region and adopts the social network analysis to explore the network structure and nodes of self-driving tourism flow feature.The results show that,1)the Yangtze River Delta region presents a pattern of“strong in the middle and south,weak in the north”in the tourist source areas and“strong in the east and weak in the west”in the destination attractiveness.2)The network density of potential self-driving tourism flows is low,and the connection between cities is not close,showing an obvious“core-periphery”pattern.3)Cities such as Nanjing and Hangzhou,have high centrality and become the core hubs and distribution centers in the self-driving tourism flow network.Suzhou,Wuxi and other cities are the secondary cores.Huaibei,Bengbu,Fuyang and other 13 cities are in the marginal position in the network.4)Eight cities including Nanjing,Hangzhou and Suzhou are located in structural holes in the network,with stronger control,independence and more prominent location advantages.

关 键 词：自驾旅游流 网络结构 社会网络分析 修正引力模型 长三角地区 

分 类 号：K901[历史地理—人文地理学]