|
|
RESEARCH ON THE IMPACT OF TOURIST ATTRACTIONS ACCESSIBILITY ON TOURIST FLOW IN DIFFERENT TRAVEL TIMES: A CASE STUDY OF XI'AN CITY |
WANG Li1, CAO Xiao-shu2, HU Ling-ling1 |
1. Tourism College and Institute of Human Geography, Xi'an International Studies University, Xi'an 710128, China;
2. Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China |
|
|
Abstract The accessibility of tourist attractions is the prerequisite to realize the flow of tourists, affected and influenced by the time available for travel, and the flow of tourists also shows obvious travel time heterogeneity. This paper uses the typical tourist city of Xi'an as the research area, comprehensively utilizes Baidu travel real-time data, online tourist travel data and questionnaire survey data, and uses QAP analysis and statistical analysis to analyze the impact of the accessibility of tourist attractions on the flow of tourists in different travel times. The results are as follows:1) The travel time cost of different modes of transportation and the agglomeration of high-level tourist attractions are important factors that affect the scale of tourist flow, and the degree of influence varies with the change of travel time constraints. 2) Tourists pay more attention to bus accessibility when choosing tourist attractions, and the impact of bus accessibility is the most important in three-day tour and above, the next one is a one-day tour, and the lowest is two-day tour. 3) The perceived accessibility levels of typical routes and high-frequency tourist attractions are relatively high, showing that the accessibility level of public transportation is better than that of private cars. Parking difficulty is the main problem when using private cars to travel.
|
Received: 07 October 2020
|
|
|
|
|
[1] |
Hall C M, Page S J. Geography of Recreation and Tourism:Environment, Place and Space[M]. London:Routledge, 1999:62-63.
|
[2] |
Kwan M P, Weber J. Scale and accessibility:Implications for the analysis of land-use-travel interaction[J]. Applied Geography, 2008, 28(2):110-123.
|
[3] |
Johnston R J.人文地理学词典[M].柴彦威,等译.北京:商务印书馆, 2004:2.[Johnston R J. The Dictionary of Human Geography[M]. Chai Yanwei, et al, trans. Beijing:The Commercial Press, 2004:2.]
|
[4] |
Uchiyama Y, Kohsaka R. Cognitive value of tourism resources and their relationship with accessibility:A case of Noto region, Japan[J]. Tourism Management Perspectives, 2016,19:61-68.
|
[5] |
Geurs K T, Wee B V. Accessibility evaluation of land-use and transport strategies:Review and research directions[J]. Journal of Transport Geography, 2004,12(2):127-140.
|
[6] |
Jin C, Cheng J, Xu J. Using user-generated content to explore the temporal heterogeneity in tourist mobility[J]. Journal of Travel Research, 2018,57(6):779-791.
|
[7] |
柴彦威,沈洁,赵莹.城市交通出行行为研究方法前沿[J].中国科技论文在线,2010(5):66-73.[Chai Yanwei, Shen Jie, Zhao Ying. Activity-based approach for urban travel behavior research[J]. Sciencepaper Online, 2010(5):66-73.]
|
[8] |
Lau G, McKercher B. Understanding tourist movement patterns in a destination:A GIS approach[J]. Tourism and Hospitality Research, 2007,7(1):39-49.
|
[9] |
Lew A A, McKercher B. Modeling tourist movement:A local destination analysis[J]. Annals of Tourism Research, 2006,33(2):403-423.
|
[10] |
徐敏,黄震方,曹芳东,等.基于在线预订数据分析的旅游流网络结构特征与影响因素——以长三角地区为例[J].经济地理,2018, 38(6):193-202.[Xu Min, Huang Zhenfang, Cao Fangdong, et al. The network structure features and influence factors of tourism flows based on online data analysis:Taking the Yangtze River Delta region as an example[J]. Economic Geography, 2018,38(6):193-202.]
|
[11] |
李欣存.基于网络游记的城市景区间游客流动网络结构研究——以苏州市为例[D].南京:南京师范大学,2016:1-37.[Li Xincun. Study on the Structure of Tourist Flow Network among Urban Scenic Spots Based on Online Travel Notes:A Case Study of Suzhou City[D]. Nanjing:Nanjing Normal University, 2016:1-37.]
|
[12] |
闫闪闪,靳诚.市域内部旅游流空间扩散动力机制——以洛阳市为例[J].人文地理,2019,34(5):149-158.[Yan Shanshan, Jin Cheng. The dynamic mechanism of the city domestic tourist flow space:A case study of Luoyang[J]. Human Geography, 2019,34(5):149-158.]
|
[13] |
阮文奇,张舒宁,郑向敏.中国游客赴泰旅游流网络结构及其形成机理研究[J]. 世界地理研究,2018,27(4):34-44.[Ruan Wenqi, Zhang Shuning, Zheng Xiangmin. A study on the network structure of Chinese tourists' traveling to Thailand and its formation mechanism[J]. World Regional Studies, 2018,27(4):34-44.]
|
[14] |
赵明煜,刘建国.北京市旅游流网络特征及影响研究[J].城市发展研究,2020,27(9):13-18.[Zhao Mingyu, Liu Jianguo. Research on the characteristics and influence of Beijing tourism flow network[J]. Urban Development Studies, 2020,27(9):13-18.]
|
[15] |
靳诚,徐菁,黄震方,等.南京城市内部景点间游客流动特征分析[J]. 地理学报,2014,69(12):1858-1870.[Jin Cheng, Xu Jing, Huang Zhenfang, et al. Analyzing the characteristics of tourist flows between the scenic spots in inner city based on tourism strategies:A case study in Nanjing[J]. Acta Geographica Sinica, 2014,69(12):1858-1870.]
|
[16] |
刘大均,简代飞,杨丹,等.基于网络游记的成都市旅游流空间特征及影响因素分析[J].西华师范大学学报(自然科学版),2020,41(1):92-97.[Liu Dajun, Jian Daifei, Yang Dan, et al. Analysis of spatial characteristics and influential factors of tourism flow in Chengdu[J]. Journal of China West Normal University(Natural Sciences), 2020,41(1):92-97.]
|
[17] |
Andreasen M H, Møller-Jensen L. Access to the city:Mobility patterns, transport and accessibility in peripheral settlements of Dares Salaam[J]. Journal of Transport Geography, 2017,62:20-29.
|
[18] |
王赞赞,冯文勇,任瑞萍,等.不同客源市场游客行为特征差异研究——以五台山风景区游客为例[J].干旱区资源与环境,2018,32(2):201-208.[Wang Zanzan, Feng Wenyong, Ren Ruiping, et al. Difference of tourists' behavior characteristics among different tourist markets:An example of tourists in Wutai mountain scenic spot[J]. Journal of Arid Land Resources and Environment, 2018,32(2):201-208.]
|
[19] |
Medlik S. Dictionary of Travel, Tourism and Hospitality[M]. Oxford:Butterworth-Heinemann, 2003:273.
|
[20] |
Mou N, Zheng Y, Makkonen T, et al. Tourists' digital footprint:The spatial patterns of tourist flows in Qingdao, China[J/OL]. Tourism Management, 2020,81:104151. https://doi.org/10.1016/j.tourman.2020.104151.
|
[21] |
Huang X, Zhang L, Ding Y. The Baidu index:Uses in predicting tourism flows:A case study of the Forbidden City[J]. Tourism Management, 2017,58:301-306.
|
[22] |
Huang C H, Tsaur J R, Yang C H. Does world heritage list really induce more tourists? Evidence from Macau[J]. Tourism Management, 2012,33(6):1450-1457.
|
[23] |
Dominik B, Carsten S, Claudia W. Uncommon leisure traffic:Analyses of travel behaviour of visitors[J]. Transportation Research Procedia, 2017,25:3971-3984.
|
[24] |
刘大均.城市群旅游流空间格局及演化研究[D].武汉:华中师范大学,2016:151-153.[Liu Dajun. Research on the Spatial Pattern and Evolution of Tourism Flow in Urban Agglomeration[D]. Wuhan:Central China Normal University, 2016:151-153.]
|
[25] |
许春晓,周美静,王甫园.旅游目的地选择意愿的影响因素——以韶山为例[J].经济地理,2015,35(4):178-185.[Xu Chunxiao, Zhou Meijing, Wang Fuyuan. Factors influencing tourist's choice of destination:A case study of Shaoshan[J]. Economic Geography, 2015, 35(4):178-185.]
|
[26] |
赵现红.旅华外国游客旅游目的地选择影响因素实证研究[J].经济地理,2010,30(1):145-149.[Zhao Xianhong, An empirical study on affecting factors of foreign tourist' destination choice[J]. Economic Geography, 2010,30(1):145-149.]
|
[27] |
Moscardo G, Pearce P L. Life cycle, tourist motivation and transport:Some consequences for the tourist experience[M]//Lumsdon L, Page S J. Tourism and Transport:Issues and Agenda for the New Millennium. Oxford:Elsevier Ltd, 2004:29-44.
|
[28] |
Page S J. Tourism and Transport:Global Perspectives(Third Edition)[M]. London:Pearson Education Limited, 2009:139-148,177-183.
|
[29] |
Cheng Y H, Chen S Y.Perceived accessibility, mobility, and connectivity of public transportation systems[J]. Transportation Research Part A, 2015,77:386-403.
|
[30] |
种照辉,覃成林. "一带一路"贸易网络结构及其影响因素——基于网络分析方法的研究[J].国际经贸探索,2017,33(5):16-28.[Chong Zhaohui, Qin Chenglin. The trade network structure of "One Belt One Road" and its influence factors:A study based on analytic network process[J]. International Economics and Trade, 2017, 33(5):16-28.]
|
[31] |
Krackhardtd D. QAP partialling as a test of spuriousness[J]. Social Networks, 1987,9(2):171-186.
|
[32] |
刘军.QAP:测量"关系"之间关系的一种方法[J].社会,2007,27(4):164-174.[Liu Jun. QAP:A unique method of measuring "relationships" in relational data[J]. Society, 2007,27(4):164-174.]
|
[33] |
王俊,夏杰长.中国省域旅游经济空间网络结构及其影响因素研究——基于QAP方法的考察[J].旅游学刊,2018,33(9):13-25.[Wang Jun, Xia Jiechang. Study on the spatial network structure of the tourism economy in China and its influencing factors:Investigation of QAP method[J]. Tourism Tribune, 2018,33(9):13-25.]
|
|
|
|