Jie Deng, Wei Zhao, Yifan Tan, Keli Huang, Haibo Zhang
{"title":"Research on the Spatial Distribution Characteristics of Traffic-accommodation in Mountain Tourism Cities","authors":"Jie Deng, Wei Zhao, Yifan Tan, Keli Huang, Haibo Zhang","doi":"10.1109/ICITE50838.2020.9231404","DOIUrl":null,"url":null,"abstract":"With the continuously increasing popularity of the tourism in western mountainous areas, the travelling passenger volume leads to a higher entropy, leading to the instability and constant evolution, of local tourism accommodation system. Since the traffic accessibility is a crucial factor in tourists' choice of accommodation, the evolution of accommodation system must be affected by traffic lines. This article, based on the ArcGIS neighbor analysis, suggests a linear random aggregation dimension analytical method, which analyzes the aggregation characteristics of the accommodation industry affected by traffic lines in the mountainous tourism cities, combined with methods of symbolized geographic spatial data, buffer zone analysis, neighbor analysis provided by software ArcGIS. The results indicate: (1) the stay points in the urban area of Kangding City has self-organization evolution with a linear accumulation center of National Road 318. Its evolution is in a group mode and grows in leaps;(2) the distribution density of the stay points in the urban area of Luding County progressively increase from National Road 318 towards the surrounding hinterland, when the traffic lines do not have a central function.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITE50838.2020.9231404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the continuously increasing popularity of the tourism in western mountainous areas, the travelling passenger volume leads to a higher entropy, leading to the instability and constant evolution, of local tourism accommodation system. Since the traffic accessibility is a crucial factor in tourists' choice of accommodation, the evolution of accommodation system must be affected by traffic lines. This article, based on the ArcGIS neighbor analysis, suggests a linear random aggregation dimension analytical method, which analyzes the aggregation characteristics of the accommodation industry affected by traffic lines in the mountainous tourism cities, combined with methods of symbolized geographic spatial data, buffer zone analysis, neighbor analysis provided by software ArcGIS. The results indicate: (1) the stay points in the urban area of Kangding City has self-organization evolution with a linear accumulation center of National Road 318. Its evolution is in a group mode and grows in leaps;(2) the distribution density of the stay points in the urban area of Luding County progressively increase from National Road 318 towards the surrounding hinterland, when the traffic lines do not have a central function.