|Table of Contents|

Impact of rail transit on the accessibility of tourist attractions in the context of low-carbon travel——based on social network analysis method (PDF)

《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

Issue:
2021年06期
Page:
38-48
Research Field:
经济与管理
Publishing date:
2021-12-30

Info

Title:
Impact of rail transit on the accessibility of tourist attractions in the context of low-carbon travel——based on social network analysis method
Author(s):
LI Shengchao1;  HUANG Hua2
(1. School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Transport Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
low-carbon travel;  rail transit;  Xi'an;  social network analysis method;  "transportation+tourism";  tourist attraction;  transportation accessibility
PACS:
F590; U492.4
DOI:
-
Abstract:
The accessibility of tourist attractions is a key issue in promoting the integrated development of "transportation+tourism" in cities. Based on the measurement of traffic accessibility time, a social network analysis method is introduced. Using the ArcGIS and ucinet 6 software, this paper constructs a tourist attraction accessibility network, calculates the tourist attraction network technical indicators such as network density, degree centrality, central centrality, core-edge structure, etc., explores the impact of low-carbon rail transit on the accessibility of each node in Xi'an's A-level and above tourist attraction network in the context of FIT and the influence on its position and role in the tourist attraction network, and analyzes the direct and indirect accessibility of tourist attractions and their changes through the calculation of different indicators. The research shows that: Xi'an's rail transit focuses on improving the accessibility of local networks and individual tourist attractions along the subway lines in the main urban area and surrounding remote areas. The "Subway+bus+cycling" mode facilitates a gradually weakening trend in the core-edge partition structure of the tourist attraction network, and a new tourist attraction network of "tourism corridor" has been gradually formed along the subway lines. Rail transit has effectively connected the remote tourist attractions in the central western and central northern parts of Xi'an, and has an effective adjustment effect on the distribution and combined development of tourist attraction resources in the local tourist attraction network. In the future construction of public transportation networks and hub stations, the focus should be on tourist attractions with high centrality and core area tourist attractions. Tourist attractions that are less optimized by the subway should turn to explore and develop through trains for tourist attractions; focus shall be placed on tourist attractions with high central centrality and belonging to the same clusters to plan and build characteristic tourist routes; public transportation and tourist attractions shall promote each other, highlighting and emphasizing the convenience of public transportation to those tourist attractions.

References:

[1] 王兆峰.基于交通通达性的城市群旅游流时空演化特征分析[J].长安大学学报(社会科学版),2019,21(2):18-29.
[2]王洪桥,袁家冬,孟祥君.东北地区A级旅游景区空间分布特征及影响因素[J].地理科学,2017,37(6):895-903.
[3]唐承财,孙孟瑶,万紫微.京津冀城市群高等级景区分布特征及影响因素[J].经济地理,2019,39(10):204-213.
[4]邓纯纯,吴晋峰,吴珊珊,等.中国A级景区等级结构和空间分布特征[J].陕西师范大学学报(自然科学版),2020,48(1):70-79.
[5]胡炜霞,梁晓涛,桑子俞.山西省3A及以上旅游景区时空演化特征及原因分析[J].干旱区资源与环境,2020,34(12):187-194.
[6]毛小岗,宋金平,于伟.北京市A级旅游景区空间结构及其演化[J].经济地理,2011,31(8):1381-1386.
[7]朱磊,胡静,周葆华,等.区域旅游景点空间分布格局及可达性评价——以皖南国际文化旅游示范区为例[J].经济地理,2018,38(7):190-198,216.
[8]谢敏慧,石惠春,赵鹏霞,等.基于路网交通的旅游景点可达性研究——以西北五省为例[J].现代城市研究,2020(3):81-87.
[9]高玉祥,韩峰.基于路网变迁的甘肃省景点可达性研究[J].测绘工程,2019,28(6):53-57.
[10]李康康,戢晓峰.景区综合交通可达性测度及其优化对策[J].长江流域资源与环境,2020,29(3):668-677.
[11]孙建伟,田野,崔家兴,等.湖北省旅游空间结构识别与可达性测度[J].经济地理,2017,37(4):208-217.
[12]熊慧锦,沈钦炜,魏凌伟,等.基于网络分析的南昌市公园绿地可达性[J].中国城市林业,2021,19(1):89-94.
[13]申悦,李亮.年龄分层视角下医疗设施可达性对居民就医行为的影响——以上海市崇明岛为例[J].人文地理,2021,36(2):46-54.
[14]付益帆,杨凡,包志毅.基于空间句法和LBS大数据的杭州市综合公园可达性研究[J].风景园林,2021,28(2):69-75.
[15]JIN C,XU J,LU Y,et al.The impact of Chinese Shanghai-Nanjing high-speed rail on regional accessibility[J]. Geografisk Tidsskrift, 2013,113(2):133-145.
[16]龙立美,赵航,黄红良,等.基于路网结构的贵阳市旅游景点可达性分析[J].西南师范大学学报(自然科学版),2020,45(8):67-76.
[17]郑智成,张丽君,秦耀辰,等.基于多模式交通网络的开封市公园景点可达性[J].地域研究与开发,2019,38(4):60-67.
[18]徐英睿,刘静怡.基于GIS的吉林省旅游景点可达性分析[J].长春师范大学学报,2021,40(8):95-99.
[19]景壮壮,韩景,刘万波,等.山西省A级景区空间分布特征及可达性研究[J].资源开发与市场,2021,37(2):200-207.
[20]王宇环,靳诚,安鸿波,等.基于低碳出行方式的南京市本地居民景点可达性研究[J].长江流域资源与环境,2018,27(11):2443-2452.
[21]李潜,唐波,彭永超.珠三角城市群4A级及以上旅游景点空间特征和可达性测度[J].地理信息世界,2020,27(1):78-83.
[22]张梦,孙浩捷,董煜,等.乌鲁木齐市旅游景点可达性及网络特征研究[J].资源开发与市场,2018,34(3):427-432.
[23]林文辉,毛峰,何虹,等.杭州市景点旅游流空间网络分析[J].浙江大学学报(理学版),2016,43(4):458-464,491.
[24]王圣云,宋雅宁,温湖炜,等.双向联系视域下长江经济带城市群网络结构——基于时间距离和社会网络分析方法[J].经济地理,2019,39(2):73-81.
[25]孔令章,李晓东,白洋,等.长距离高铁对沿线城市旅游经济联系的空间影响及角色分析——以兰新高铁为例[J].干旱区地理,2019,42(3):681-688.
[26]裴玉龙,潘恒彦,郭明鹏,等.轨道交通对城市公共交通网络可达性的影响——以哈尔滨市为例[J].公路交通科技,2020,37(6):104-111.
[27]刘军.整体网分析讲义:UCINET软件实用指南[M].上海:上海人民出版社, 2009.
[28]孙娜,张梅青.基于高铁流的中国城市网络结构特征演变研究[J].地理科学进展,2020,39(5):727-737.
[29]邓亚娟,杨云峰,马荣国.基于复杂网络理论的公路网结构特征[J].中国公路学报,2010,23(1):98-104.
[30]沈丽珍,汪侠,甄峰.社会网络分析视角下城市流动空间网络的特征[J].城市问题,2017(3):28-34.

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Last Update: 2021-12-30