Methods for measuring the spatial mobility of tourists using a network theory approach

Author:

Nod Gabriella,Aubert Antal

Abstract

The present study uses the methodological tools of network theory to investigate the spatial movements of tourists in the sample area, which is the South Transdanubian tourism region of Hungary. The basic idea of the study is that tourist movements across settlements in a larger tourist destination make a coherent network. As long as the approach is correct, this network can be measured by properties that are characteristic of networks, such as centrality or degree. A review of the methodology of similar studies previously published on the subject has been used to supplement the method of analysis used below. As a result, the study not only characterised the sample area municipalities in terms of network characteristics, but also classified them into clusters for strategic planning purposes on the basis of the mobility propensity of the tourists staying there.

Publisher

Research Centre for Astronomy and Earth Sciences

Subject

General Earth and Planetary Sciences,Geography, Planning and Development,Cultural Studies,Agronomy and Crop Science

Reference45 articles.

1. Ahas, R. and Mark, U. 2005. Location based services - New challenges for planning and public administration? Futures 37. (6): 547-561.

2. Albert, R. and Barabási, A.-L. 2002. Statistical mechanics of complex networks. Reviews of Modern Physics 74. 47-97.

3. Aubert, A., Berghauer, S., Beták, N., Mókusné Pálfi, A. and Nod, G. 2021. Turisztikai szervezetek online marketing tevékenységének vizsgálata: a szlovák-magyar-ukrán (kárpátaljai) példa (Survey of online marketing activities of tourism organisations: a Slovakian-Hungarian-Ukrainian [Transcarpathian] example). In Interregionális kutatási eredmények a turizmusban: örökségvédelem, intézményrendszer, helyi termékek (Hun-Au-Slo-Ukr). Eds.: Mókusné Pálfi, A. and Nod, G., Pécs, University of Pécs, Department of Tourism, 70-90.

4. Asero, V., Gozzo, S. and Tomaselli, V. 2016. Building tourism networks through tourist mobility. Journal of Travel Research 55. (6): 751-763.

5. Barabási, A.-L. 2016. Network Science. Cambridge, UK, Cambridge University Press.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3