A Geoprocessing Approach Using Poi Visibility Index for Identifying Potential Routes in Designing Sustainable Tourism Development: The Case Study of Singkawang, Indonesia
DOI:
https://doi.org/10.24114/jg.v17i2.64723Keywords:
Urban Planning, Point of Interest (POI), Visibility Index, Tourism, NetworkAbstract
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.References
Abbasi-Moud, Z., Vahdat-Nejad, H., & Sadri, J. (2021). Tourism recommendation system based on semantic clustering and sentiment analysis. Expert Systems with Applications, 167. https://doi.org/10.1016/j.eswa.2020.114324
Boeing, G. (2022). Street Network Models and Indicators for Every Urban Area in the World. Geographical Analysis, 54(3), 519–535. https://doi.org/10.1111/gean.12281
Boeing, G., & Ha, J. (2024). Resilient by design: Simulating street network disruptions across every urban area worldwide. Transportation Research Part A: Policy and Practice, 182. https://doi.org/10.1016/j.tra.2024.104016
Celardo, L., Misuraca, M., & Spano, M. (2023). Georeferencing sentiment scores to map and explore tourist points of interest. 115–122. https://doi.org/10.4995/carma2023.2023.16429
Chalkiadakis, G., Ziogas, I., Koutsmanis, M., Streviniotis, E., Panagiotakis, C., & Papadakis, H. (2023). A Novel Hybrid Recommender System for the Tourism Domain. Algorithms, 16(4). https://doi.org/10.3390/a16040215
Ding, R., Ujang, N., Hamid, H. Bin, Manan, M. S. A., Li, R., Albadareen, S. S. M., Nochian, A., & Wu, J. (2019). Application of Complex Networks Theory in Urban Traffic Network Researches. Networks and Spatial Economics, 19(4), 1281–1317. https://doi.org/10.1007/s11067-019-09466-5
Dinis, G., Breda, Z., Costa, C., & Pacheco, O. (2019). Google Trends in tourism and hospitality research: a systematic literature review. In Journal of Hospitality and Tourism Technology (Vol. 10, Issue 4, pp. 747–763). Emerald Group Holdings Ltd. https://doi.org/10.1108/JHTT-08-2018-0086
García-Hernández, M., de la Calle-Vaquero, M., & Yubero, C. (2017). Cultural heritage and urban tourism: Historic city centres under pressure. Sustainability (Switzerland), 9(8). https://doi.org/10.3390/su9081346
Geshkov, M. (2023). Application of Digital Technologies in Controlling Urban Sprawl. SHS Web of Conferences, 176. https://doi.org/10.1051/shsconf/202317601010
Gil, E., Ahn, Y., & Kwon, Y. (2020). Tourist attraction and points of interest (POIs) using search engine data: Case of Seoul. Sustainability (Switzerland), 12(17). https://doi.org/10.3390/su12177060
Gudmundsson, A., & Mohajeri, N. (2013). Entropy and order in urban street networks. Scientific Reports, 3. https://doi.org/10.1038/srep03324
Huang, C., Xiao, C., & Rong, L. (2022). Integrating Point-of-Interest Density and Spatial Heterogeneity to Identify Urban Functional Areas. Remote Sensing, 14(17). https://doi.org/10.3390/rs14174201
Huynh, H. N., & Ramli, M. A. Bin. (2022). Urban Landscape from the Structure of Road Network: A Complexity Perspective. https://doi.org/10.48550/arXiv.2201.10949
Jannah, S., Cahyaning Arie, F., Pusporini, N., & Fitriatul Ulya, A. (2023). Pemetaan Mobilitas Penduduk Berdasarkan Google Point of Interest (POI) Sarana Komersial menggunakan Analisis Multidimensional Scaling (MDS). Journal Plano Buana, 4(1), 46–54. https://doi.org/https://doi.org/10.36456/jpb.v4i1.7536
Liang, W., Ahmad, Y., & Mohidin, H. H. B. (2024). Spatial pattern and influencing factors of tourism based on POI data in Chengdu, China. Environment, Development and Sustainability, 26(4), 10127–10143. https://doi.org/10.1007/s10668-023-03138-8
Lim, K. H., Chan, J., Karunasekera, S., & Leckie, C. (2019). Tour recommendation and trip planning using location-based social media: a survey. Knowledge and Information Systems, 60(3), 1247–1275. https://doi.org/10.1007/s10115-018-1297-4
Liu, C., Chen, L., Yuan, Q., Wu, H., & Huang, W. (2022). Revealing Dynamic Spatial Structures of Urban Mobility Networks and the Underlying Evolutionary Patterns. ISPRS International Journal of Geo-Information, 11(4). https://doi.org/10.3390/ijgi11040237
Liu, S., Higgs, C., Arundel, J., Boeing, G., Cerdera, N., Moctezuma, D., Cerin, E., Adlakha, D., Lowe, M., & Giles-Corti, B. (2021). A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data. https://doi.org/10.1111/gean.12290
Liu, X., Zhou, G., Wang, H., & Wen, E. (2025). Evaluating the Progress of Tourism in a Less-Developed Area of China: A Tourism Development Index Approach Based on Night-Time Light and POI Data. Land, 14(2). https://doi.org/10.3390/land14020338
Mahdi, A. J., Tettamanti, T., & Esztergar-Kiss, D. (2023). Modeling the Time Spent at Points of Interest Based on Google Popular Times. IEEE Access, 11, 88946–88959. https://doi.org/10.1109/ACCESS.2023.3305957
Mehaffy, M., Porta, S., Rofè, Y., & Salingaros, N. (2010). Urban nuclei and the geometry of streets: The “emergent neighborhoods” model. Urban Design International, 15(1), 22–46. https://doi.org/10.1057/udi.2009.26
Natapov, A., Cohen, A., & Dalyot, S. (2024). Urban planning and design with points of interest and visual perception. Environment and Planning B: Urban Analytics and City Science, 51(3), 641–655. https://doi.org/10.1177/23998083231191338
Natapov, A., Dalyot, S., & Cohen, A. (2024). POI VizNet: New QGIS Tool to construct Visibility Networks in Cities. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4–2024, 239–246. https://doi.org/10.5194/isprs-annals-X-4-2024-239-2024
Peng, Z. R., Zhai, W., & Lu, K. (2022). Smart, Sustainable, and Resilient Transportation System. In New Thinking in GIScience (pp. 319–328). Springer Nature. https://doi.org/10.1007/978-981-19-3816-0_34
Psyllidis, A., Gao, S., Hu, Y., Kim, E. K., McKenzie, G., Purves, R., Yuan, M., & Andris, C. (2022). Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future. Computational Urban Science, 2(1). https://doi.org/10.1007/s43762-022-00047-w
Rohaendi, N., Setiawan, I. F., Herlinawati, & Budiyono, A. (2025). Developing Sustainable Tourism Based on Geological and Mining Heritage in Indonesia. IOP Conference Series: Earth and Environmental Science, 1451(1). https://doi.org/10.1088/1755-1315/1451/1/012006
Sedubun, D. R., Laamena, N. S., Salhuteru, R., & Studi Statistika, P. (2023). Development of Spatial Weighted Matrix based on Transportation Connectivity for Archipelago Provinces in Indonesia. Parameter (Matematika Dan Terapan), 02(02), 101–114. https://doi.org/10.30598/parameterv2i02pp101-114
Sitorus, S. R. (2016). Perencanaan Penggunaan Lahan. IPB Press Printing.
Soelistyo Pribadi, O., Risma, K., Kartika, D., Hidayat, D. W., & Navianti, D. R. (2023). Analysis of National Road Network Connectivity in Bali Province. Jurnal Teknologi Transportasi Dan Logistik, 4(2). https://doi.org/10.52920/jttl.v4i2.208
Susanto, B., Herlina, & C A. R. (2012). Penerapan Social Network Analysis dalam Penentuan Centrality Studi Kasus Social Network Twitter. Jurnal Informatika, 8(1). https://doi.org/10.21460/inf.2012.81.111
Szromek, A. R., Kruczek, Z., & Walas, B. (2020). The attitude of tourist destination residents towards the effects of overtourism-Kraków case study. Sustainability (Switzerland), 12(1). https://doi.org/10.3390/SU12010228
Vercruyssen, A., & Loosveldt, G. (2017). Using Google Street View to validate interviewer observations and predict nonresponse: A Belgian case study. Survey Research Methods, 11(3 Special Issue), 345–360. https://doi.org/10.18148/srm/2017.v11i3.6301
Wei, J., Zhong, Y., & Fan, J. (2022). Estimating the Spatial Heterogeneity and Seasonal Differences of the Contribution of Tourism Industry Activities to Night Light Index by POI. Sustainability (Switzerland), 14(2). https://doi.org/10.3390/su14020692
Yadav, R. (2023). Centrality in Social Network Analysis: A Comprehensive Review for Students. International Journal of Data Structure Studies, 1(2). https://doi.org/10.37591/IJDSS
Yeow, L. W., Low, R., Tan, Y. X., & Cheah, L. (2021). Point-of-interest (POI) data validation methods: An urban case study. ISPRS International Journal of Geo-Information, 10(11). https://doi.org/10.3390/ijgi10110735
Yotifa, N. N., Ginardi, H., & Ariyani, N. F. (2022). Pengembangan Rekomendasi Rute Berdasarkan Personalisasi Point-of-Interest dengan Menerapkan Metode Analytical Hierarchy Process. Jurnal Teknik ITS, 11. https://doi.org/10.12962/j23373539.v11i1.83246
Zhang, Y., & Zhang, J. (2023). Tourist Attractions and Economic Growth in China: A Difference-in-Differences Analysis. Sustainability (Switzerland), 15(7). https://doi.org/10.3390/su15075649
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