Tourist Movement Patterns as an Evaluation Indicator for Mandalika- Mataram Tourism Planning
Abstract
Visitor movement patterns provide an important basis for spatial and transportationplanning considerations because they reflect how planned infrastructure operates in reallife. Using tourist movement patterns in the Mandalika-Mataram corridor, West NusaTenggara Province, Indonesia, as an indicator for channeling tourism planning, this studyaims to conduct this analysis. The study focuses on three main movement hubs: MataramCity as a service and transit hub, Lombok International Airport as the main entry point,and Mandalika, a tourist area, as the primary destination. A node-link model based onsecondary geospatial data, such as road networks, administrative boundaries, and thedistribution of tourist destinations, was used in a spatial analytic technique. Theconcentration of tourist movements between nodes, movement direction, and networkstructure were all examined using Geographic Information System (GIS) technologies.The findings indicate that the Mandalika tourist region, the airport, and Mataram City areconnected by a linear north-south structure of tourist movement patterns. Whileancillary road networks have a smaller importance, tourist movements are mostlycentered along the major corridor connecting these nodes. This trend suggests that realtourist mobility and the planned spatial arrangement are closely related. The studycomes to the conclusion that visitor mobility patterns can be a useful metric for assessinghow well tourism spatial design is working. The concentration along a single corridoremphasizes the necessity of strengthening supporting networks to promote spatialconnectedness, even though the current planning effectively directs movement towardimportant tourist attractions
Fields of Study & Subjects
Diverse Aspects of Tourism Research
Transportation Planning and Optimization
Urban Design and Spatial Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026
- Language
- EN