Distributing and Mapping Museums Effective Routes: A Particle Swarm Optimization Approach (Bandung Municipality Case)

Abstract

Abstract Bandung Municipality, located in West Java Province from Indonesia country, is a historic city known for being a centre of creativity and for its many old buildings. The entity came into being on September 25, 1810, and has a lengthy historical background, cultural assets, and notable architectural structures. Bandung Municipality has emerged as a prominent urban centre in the West Java area. According to the official 2021 release from the Bandung Municipality Government, twenty-one functioning museums are registered and located around the city. Given its substantial magnitude, museum tourism has significant potential for development. It can serve as a city’s distinctive identity, influencing many sectors such as the economy, society, tourism and environment. Every museum has its dynamics, varying attributes, and management approaches. A museum’s existence may significantly enhance and stimulate urban tourism growth in Bandung Municipality, a city renowned for its innovative enterprises. Hence, to maximize this potential, a thorough study is essential to accurately depict the possible existence of these 21 museums within urban tourism (based on the official Bandung Municipality government released 2021). In this research, urban tourism focuses on travelling and finding effective museum routes, which impacts cost saving, carbon reduction, and arranging an itinerary journey for travel tour operators. Effective route planning is crucial for traveling between 21 museums in various areas. One method to enhance the best efficiency travel routes with an algorithm based on the Particle Swarm Optimization (PSO) methodology. It Utilizes and improves the most efficient routes, decreases carbon emissions, and cuts down on travel expenses. Ultimately, it provides more financial benefits for tourists, tour operators, museum management, and the citizens of Bandung Municipality.