Network platform application for studies of transportation services in remote touristic regions

Authors: Maria Kuklina*, Irkutsk State Technical University, Andrey Trufanov, Irkutsk National Research Technical University, Nikolay Kinash, Irkutsk National Research Technical University, Olga Berestneva, Tomsk Polytechnic University
Topics: Eurasia, Transportation Geography, Tourism Geography
Keywords: complex networks, tourism systems, transportation infrastructure, spatial distribution, remote sites
Session Type: Paper
Day: 4/5/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: President's Boardroom, Omni, East
Presentation File: No File Uploaded


Not only distances limit travels to wild Siberian sites so attractive with their history and nature. Lack of dependable transportation infrastructure impede flows of inspired people to visit the places they dreams of. Even
informal transport promote development of tourism business, however , one can predict numerous legal contradictions of actors within transportation space.
The phenomena of the co-existence and interdependency of formal and informal transportation networks has not been sufficiently addressed by network science specialists. In this paper, a contemporary complex network platform is derived to test transportation activities around the Lake Baikal. Using network analysis, this paper explores the transportation system deployed around Lake Baikal and demonstrates its severe vulnerability both with regard to the more remote sites and according to financial considerations. It highlights the role of nodes-partners to form specific spatial relations in remote regions. t has been developed a transportation component of comprehensive network model proposed in our previous works on tourism systems. This component is reflected by multiplex of social interactions in three layers:
financial, technological and information ones. Three competing transportation
service strategies are considered , namely: passenger-diver; passenger – aggregator-driver; passenger-aggregator-partner-driver.
The network scope with the proposed model uncovers hidden problems connected with the spatial distribution of key sites and points to the weak places in the transportation component of the regional tourism system.

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