TOURISM INDUSTRY DEVELOPMENT: GEOANALYTICS DATA AS A DECISION-MAKING TOOL

T. A. Radchenko, Ksenia A. Bannikova, N. M. Kochetkova
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Abstract

The study is aimed at finding a universal methodology for using geoanalytical data for the purpose of tourism statistics and at analyzing the characteristics of tourism and the touristic trips in Russian territories (Krasnodar region as an example) using data from mobile operators. The authors analyzed aggregated and depersonalized data of mobile operators, generated from cellular networks operation data. Data on cellular subscribers were adjusted for the market shares of mobile operators to obtain indicators that characterize the aggregate number of tourists and excursionists. The analysis allowed, firstly, to offer methodological approaches for working with geoanalytical data and, secondly, to reveal that in 2019-2020 the coronavirus pandemic did not have a significant negative impact on the number of tourists and excursionists which is most likely explained by the switching of citizens from foreign trips to domestic travel. Any impact of the pandemic on the tourists portrait was also not revealed. At the same time, geoanalytical data made it possible to highlight the preferences of Russian tourists in the Krasnodar region to stay in rented housing or live with relatives, friends or in their own housing instead of hotels and inns. During the pandemic these preferences were more explicit, which can be explained by some requirements or recommendations in collective accommodations that may not exist in the private sector. In general, geoanalytical data allow for a more complete and detailed accounting of tourist and excursion flows in a territory for: initiation of support measures for transport infrastructure, tourism development within the framework of state and departmental programs; targeted event planning and creation of related services as part of the tourism strategic development and territory
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旅游业发展:地理分析数据作为决策工具
这项研究的目的是找到一种普遍的方法,利用地理分析数据进行旅游统计,并利用移动运营商提供的数据分析俄罗斯领土(克拉斯诺达尔地区为例)的旅游业和旅游旅行的特点。作者分析了移动运营商的聚合和非个性化数据,这些数据来自蜂窝网络运营数据。蜂窝用户数据根据移动运营商的市场份额进行了调整,以获得表征游客和短途旅行者总数的指标。该分析首先提供了处理地理分析数据的方法学方法,其次揭示了2019-2020年冠状病毒大流行对游客和短途旅行人数没有产生重大负面影响,这很可能是公民从国外旅行转向国内旅行的原因。大流行对游客画像的任何影响也没有透露。与此同时,地理分析数据可以突出显示克拉斯诺达尔地区的俄罗斯游客倾向于租房或与亲戚、朋友住在一起或住在自己的房子里,而不是住在酒店和小旅馆里。在大流行期间,这些偏好更加明确,这可以用集体住宿的一些要求或建议来解释,而私营部门可能不存在这些要求或建议。一般来说,地理分析数据可以更完整和详细地说明一个地区的旅游和游览流量,以便:在国家和部门计划的框架内启动运输基础设施的支持措施,旅游发展;有针对性的活动策划和相关服务的创建作为旅游战略发展和领土的一部分
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来源期刊
CiteScore
1.10
自引率
33.30%
发文量
9
期刊介绍: PUBLIC ADMINISTRATION ISSUES is a scientific peer-reviewed journal published by the National Research University High School of Economics (NRU HSE).The journal is published quarterly in Russian, and contains original articles by Russian and foreign authors. In addition, a special English language issue containing original articles by Russian and foreign authors has been published since 2014. The editorial board consists of leading Russian and foreign scientists in the field of public administration as well as prominent practitioners. The journal is indexed in the international databases: Scopus, RePEc, EBSCOand the Russian Science Citation Index (RSCI) on the platform of Web of Science. In addition, the journal is on the list of key peer-reviewed scientific journals and publications that the Higher Certification (Attestation) Commission in the RF Education Ministry recommends for publishing the main scientific results of theses for PhD and doctoral degrees in Economics, Sociology and Law. The journal focuses on the following subject areas: − Current theories of public administration. − Theoretical fundamentals of economic and social policy − Factors and Assessment of efficiency in public and municipal administration. − Innovations in the system of public and municipal administration. − Planning and forecasting in the system of public and municipal administration. − Staff of the state and municipal service. Management of personnel in public and municipal bodies and in organizations of the public sectors. − Financial, logistical and information resources of the state and municipalities. − Public service. − Functional features of public sector organizations. − Partnership of the state and municipalities with nongovernmental nonprofit organizations. Economic and administrative challenges facing “third sector.” - Development of education programs on public administration.
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