Social welfare maximization of tourist bus service system in the M/M/1 queue with strategic tourists

\nTourism is experiencing a transformative phase in its development, playing a pivotal role in the country’s economic growth. The potential for further advancement lies in effective tourism management. Recognizing this vital aspect, the present study investigates the application of the M/M/1 queueing model, considering the strategic behavior of tourists in a tourist bus service (TBS) system. A TBS system involves the provision of bus services to tourists, ensuring convenient and efficient travel to various destinations. Understanding the phenomenon of balking as a strategic behavior of tourists is crucial, where tourists strategically decide whether to join or balk based on the queue length, thereby highlighting its impact on the dynamics of tourists’ decision-making. In the proposed model, our attention is directed toward understanding the equilibrium and socially optimal strategies adopted by incoming tourists through a reward-cost structure in the observable queue. This structure allows us to analyze and identify the most effective and efficient strategies for tourists based on the balance between the rewards they receive and the costs they incur. Furthermore, government strategies involve interventions and policies by authorities to regulate and optimize the functioning of the TBS system. These strategies may include the implementation of subsidies or taxes on buses aimed at influencing bus arrival rates. We examine how governmental strategies are employed to identify the optimal bus buffer size objectively, ultimately seeking to maximize social welfare in the TBS system. Through a series of numerical experiments, we aim to unravel the dynamics of the optimal strategies while assessing the impact of varying information levels and TBS system parameters on the overall societal benefit. The ultimate objective is to pave the way for an optimized and more beneficial tourism landscape, fostering positive outcomes in the tourism sector.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-08-15
DOI
https://doi.org/10.1051/ro/2024129/pdf
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social welfare maximization of tourist bus service system in the M/M/1 queue with strategic tourists

Springer Link (Chiba Institute of Technology)
Transportation and Mobility Innovations
article

Social welfare maximization of tourist bus service system in the M/M/1 queue with strategic tourists

article en

Abstract

\nTourism is experiencing a transformative phase in its development, playing a pivotal role in the country’s economic growth. The potential for further advancement lies in effective tourism management. Recognizing this vital aspect, the present study investigates the application of the M/M/1 queueing model, considering the strategic behavior of tourists in a tourist bus service (TBS) system. A TBS system involves the provision of bus services to tourists, ensuring convenient and efficient travel to various destinations. Understanding the phenomenon of balking as a strategic behavior of tourists is crucial, where tourists strategically decide whether to join or balk based on the queue length, thereby highlighting its impact on the dynamics of tourists’ decision-making. In the proposed model, our attention is directed toward understanding the equilibrium and socially optimal strategies adopted by incoming tourists through a reward-cost structure in the observable queue. This structure allows us to analyze and identify the most effective and efficient strategies for tourists based on the balance between the rewards they receive and the costs they incur. Furthermore, government strategies involve interventions and policies by authorities to regulate and optimize the functioning of the TBS system. These strategies may include the implementation of subsidies or taxes on buses aimed at influencing bus arrival rates. We examine how governmental strategies are employed to identify the optimal bus buffer size objectively, ultimately seeking to maximize social welfare in the TBS system. Through a series of numerical experiments, we aim to unravel the dynamics of the optimal strategies while assessing the impact of varying information levels and TBS system parameters on the overall societal benefit. The ultimate objective is to pave the way for an optimized and more beneficial tourism landscape, fostering positive outcomes in the tourism sector.\n

Springer Link (Chiba Institute of Technology)
Ministry of Education, India
Decent work and economic growth
Openalex Percentile: Top 63%
Transportation and Mobility Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.