Yudi Purnomo, Agustiah Wulandari

A Geoprocessing Approach Using Poi Visibility Index for Identifying Potential Routes in Designing Sustainable Tourism Development: The Case Study of Singkawang, Indonesia

Introduction

A geoprocessing approach using poi visibility index for identifying potential routes in designing sustainable tourism development: the case study of singkawang, indonesia. Geoprocessing & POI visibility identify efficient tourist routes for sustainable tourism development in Singkawang, Indonesia. Optimize urban connectivity, economic growth, and regional planning.

Abstract

Regional planning and urban design are essential in developing a region or city. Point of Interest (POI) data in area planning can significantly influence resident perceptions and behaviors and shape investment decisions and development strategies in tourist areas. This study focuses on Singkawang City, a prominent coastal tourist destination on the island of Kalimantan, Indonesia. Singkawang features a historical spatial layout but faces numerous contemporary challenges. The research aims to identify potential efficient tourist routes using geographic analysis based on the POI visibility index. The research has practical benefits, including promoting tourism development, supporting local economic growth, optimizing land use, and enhancing urban user-friendliness. The study employs data on road networks, buildings, and tourist attraction points. The analysis identifies the nodes (POIs and intersections) that concentrate the most efficient routes in the study area, actively connecting tourist attractions in the city center. These routes demonstrate greater importance than those connecting natural attractions in the city's peripheral areas. User visitation levels and the visibility of POIs influence the city's morphological movement patterns. The findings highlight the strategic role of POI-based geographic analysis in improving urban connectivity and guiding regional planning efforts, offering valuable insights for addressing urban challenges and advancing sustainable, tourism-focused urban development.

Review

This paper presents a timely and relevant geoprocessing approach for identifying potential efficient tourist routes, critically contributing to sustainable tourism development and urban planning. The study's focus on a "POI Visibility Index" offers a novel methodological lens for understanding urban connectivity and visitor movement patterns. The choice of Singkawang City, a coastal destination in Indonesia facing contemporary urban challenges despite its historical context, provides a compelling and practically significant case study, demonstrating the real-world applicability of the proposed framework in a developing urban setting. The stated practical benefits, including promoting tourism and optimizing land use, underscore the immediate value of this research for local authorities and planners. The methodology employs geographic analysis based on road networks, buildings, and tourist attraction points to identify crucial nodes (POIs and intersections). A key finding highlights that efficient routes predominantly concentrate around and connect tourist attractions in the city center, which are deemed more important than those linking natural attractions in peripheral areas. This indicates a strong influence of user visitation levels and POI visibility on the city's morphological movement patterns, offering valuable insights into current tourist behavior and spatial organization. The study effectively demonstrates how an analytical approach can uncover the underlying dynamics of urban tourism. The findings have significant practical implications, particularly in guiding regional planning efforts and enhancing urban connectivity. By strategically identifying efficient routes, the research offers a robust tool for addressing urban challenges, fostering sustainable, tourism-focused urban development, and potentially stimulating local economic growth and improving urban user-friendliness. This work represents a valuable contribution to the fields of urban planning, tourism geography, and GIScience, providing a strong foundation for data-driven decision-making in destination management.

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