Analysis of the Impact on Congestion Dispersion by Difference in Information Given to Tourists Using Multi-Agent Simulation

被引：0

作者：

Ishii, Yuri ^{[1
]}

Togashi, Asuka ^{[1
]}

Hasuike, Takashi ^{[1
]}

机构：

[1] Waseda University, 3-4-1, Okubo, Shinjuku-ku, Tokyo

来源：

IEEJ Transactions on Electronics, Information and Systems | 2024年 / 144卷 / 08期

关键词：

decentralization of congestion; Multi-Agent Simulation; scenario analysis;

D O I：

10.1541/ieejeiss.144.736

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

While the spread of COVID-19 is coming to an end, Overtourism, which has been apparent in various tourist destinations since the 2010s, is once again becoming an important issue. In order to relieve congestion, some areas have introduced applications that allow visitors to check the congestion status of tourist attractions with their smartphones. On the other hand, not much research has been conducted on what kind of congestion information is effective for decentralizing the congestion at tourist attractions from the viewpoint of eliminating overtourism. In this study, we analyze how the waiting time and the degree of congestion at tourist spots change when agents are given several measures with different tourist information by reproducing tourist spots using Multi-Agent Simulation (MAS). © 2024 The Institute of Electrical Engineers of Japan.

引用

页码：736 / 741

页数：5

共 9 条

[1]

TRAVEL & TOURISM ECONOMIC IMPACT 2018 WORLD

[2]

Go to Travel キャンペーン旅行者向け公式サイト

[3]

京都観光オフィシャルサイト京都観光 Navi

[4]

Seraphin H., Sheeran P., Pilato M., Over-tourism and the fall of Venice as a destination, Journal of Destination Marketing & Management, 9, pp. 374-376, (2018)

[5]

Kim D., Yoda N., Okubo T., Hayashi M., A Tourists' Tsunami Evacuation Simulation in Heavy Snowfall Season: A Case Study for the Hokkaido Hakodate-shi The Important Preservation District for Groups of Historical Buildings, Disaster mitigation of cultural heritage and historic cities, 11, pp. 159-166, (2017)

[6]

Du S., Guo C., Jin M., Agent-based simulation on tourists' congestion control during peak travel period using Logit model, Chaos, Solitons and Fractals, 89, pp. 187-194, (2016)

[7]

Togashi A., Hasuike T., Analysis of Provided Information for alleviating tourists' congestion based on multi-agent, pp. 43-48, (2021)

[8]

OpenStreetMap

[9]

NTT データ数理システム:S4 Simulation System

← 1 →