Stress Testing the Resilience of Regional Spatial Structure to Hydrometeorological Disaster Disruptions: Empirical Evidence from West Sumatra

Authors

  • Tomi Eriawan Universitas Bung Hatta
  • Lestari Setiawati Universitas Bung Hatta
  • Wenny Widya Wahyudi Universitas Bung Hatta
  • Meldi Romadhani Universitas Bung Hatta
  • Alya Arianti Fresta Universitas Bung Hatta

DOI:

https://doi.org/10.5614/jpwk.2026.37.2.5

Keywords:

regional spatial structure, hydrometeorological disaster, transportation network resilience, stress testing, GIS network analysis

Abstract

Hydrometeorological disasters frequently disrupt transportation networks and threaten the functioning of regional spatial systems, particularly in geographically constrained regions. However, previous studies have primarily evaluated resilience from the perspective of transportation network performance, with limited attention to how transportation disruptions affect the continuity of hierarchical interactions among activity centers. This study assessed the resilience of the regional spatial structure in West Sumatra, Indonesia, by examining how hydrometeorological disaster disruptions influence regional connectivity under progressively increasing transportation network stress. An ex-post GIS-based stress-testing framework was developed using three disruption scenarios (conservative, moderate, and worst-case) to evaluate primary corridor functionality and alternative accessibility between the National Activity Center (NAC) and Regional Activity Centers (RACs). Changes in travel distance, travel time, and connectivity were analyzed to assess the continuity of hierarchical regional interactions. The results indicated that maintaining physical connectivity alone does not guarantee regional spatial structure resilience. Under moderate disruption, all origin-destination pairs remained connected; however, substantial travel-time increases revealed considerable deterioration in functional accessibility. Under the worst-case scenario, failure of critical primary corridors caused widespread network fragmentation and functional collapse of the regional interaction system. These findings demonstrate that regional spatial structure resilience depends not only on transportation connectivity but also on the ability of the transportation system to sustain hierarchical interactions among activity centers during disaster conditions. The proposed framework bridges transportation network analysis and regional spatial planning and provides a transferable approach for evaluating disaster resilience in mountainous and hazard-prone regions characterized by limited transportation redundancy.

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Author Biographies

Tomi Eriawan, Universitas Bung Hatta

Department of Urban and Regional Planning, Faculty of Civil Engineering and Planning, Universitas Bung Hatta, Jl. Sumatera, Ulak Karang, Padang, West Sumatra 25133, Indonesia.

Lestari Setiawati, Universitas Bung Hatta

Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Bung Hatta, Jl. Gajah Mada No. 19, Olo Nanggalo, Padang, West Sumatra 25143, Indonesia.

Wenny Widya Wahyudi, Universitas Bung Hatta

Department of Urban and Regional Planning, Faculty of Civil Engineering and Planning, Universitas Bung Hatta, Jl. Sumatera, Ulak Karang, Padang, West Sumatra 25133, Indonesia.

Meldi Romadhani, Universitas Bung Hatta

Department of Urban and Regional Planning, Faculty of Civil Engineering and Planning, Universitas Bung Hatta, Jl. Sumatera, Ulak Karang, Padang, West Sumatra 25133, Indonesia.

Alya Arianti Fresta, Universitas Bung Hatta

Department of Urban and Regional Planning, Faculty of Civil Engineering and Planning, Universitas Bung Hatta, Jl. Sumatera, Ulak Karang, Padang, West Sumatra 25133, Indonesia.

References

Ahmed, S., & Dey, K. (2020). Resilience modeling concepts in transportation systems: A comprehensive review based on mode and modeling techniques. Journal of Infrastructure Preservation and Resilience, 1, 8. https://doi.org/10.1186/s43065-020-00008-9

Alabbad, Y., Mount, J., Campbell, A., & Demir, I. (2021). Assessment of transportation system disruption and accessibility to critical amenities during flooding: Iowa case study. Science of the Total Environment, 793, 148476. https://doi.org/10.1016/j.scitotenv.2021.148476

Anderson, M. J., Kiddle, D. A. F., & Logan, T. M. (2022). The underestimated role of the transportation network: Improving disaster & community resilience. Transportation Research Part D: Transport and Environment, 106, 103218. https://doi.org/10.1016/j.trd.2022.103218

Ansofino, A., & Zusmelia, Z. (2022). Comparative and competitive advantages analysis of rubber as a featured product of West Sumatera to support of spatial interaction. Proceedings of the 1st International Conference on Economic and Education, ICON 2021, 14?15 December 2021, Padang-West Sumatra, Indonesia. https://doi.org/10.4108/eai.14-12-2021.2318307

Auerbach, J., & Kim, H. (2022). Measuring robustness and coverage of transportation networks with multiple routes and hubs. Annals of the American Association of Geographers, 112, 1741?1760. https://doi.org/10.1080/24694452.2021.2000357

Aydin, N. Y., Heinimann, H. R., Duzgun, H. S., & Wenzel, F. (2018). Integration of stress testing with graph theory to assess the resilience of urban road networks under seismic hazards. Natural Hazards, 91(1), 37?68. https://doi.org/10.1007/s11069-017-3112-z

Basile, R., Commendatore, P., & Kubin, I. (2021). Complex spatial economic systems: Migration, industrial location and regional asymmetries. Spatial Economic Analysis, 16, 1?8. https://doi.org/10.1080/17421772.2021.1876911

Bergantino, A. S., Gardelli, A., & Rotaris, L. (2024). Assessing transport network resilience: Empirical insights from real-world data studies. Transport Reviews, 44(4), 834?857. https://doi.org/10.1080/01441647.2024.2322434

Berry, B., & Garrison, W. (1958). The functional bases of the central place hierarchy. Economic Geography, 34, 145. https://doi.org/10.2307/142299

BPS-Statistics West Sumatra Province. (2026). Population by age group and sex in West Sumatra Province, 2022 [Data set]. https://sumbar.bps.go.id/id/statistics

Cattaneo, A., Girgin, S., De By, R., McMenomy, T., Nelson, A., & Vaz, S. (2024). Worldwide delineation of multi-tier city?regions. Nature Cities, 1, 469?479. https://doi.org/10.1038/s44284-024-00083-z

Chacon-Hurtado, D., Kumar, I., Gkritza, K., Fricker, J., & Beaulieu, L. (2020). The role of transportation accessibility in regional economic resilience. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2020.102695

Che, L., Xu, J., Chen, H., Sun, D., Wang, B., Zheng, Y., Yang, X., & Peng, Z. (2022). Evaluation of the spatial effect of network resilience in the Yangtze River Delta: An integrated framework for regional collaboration and governance under disruption. Land, 11(8), 1359. https://doi.org/10.3390/land11081359

Chen, X., Ma, S., Chen, L., & Yang, L. (2024). Resilience measurement and analysis of intercity public transportation network. Transportation Research Part D: Transport and Environment, 132, 104202. https://doi.org/10.1016/j.trd.2024.104202

Curatella, L., Fortunato, G., Pilogallo, A., Saganeiti, L., Santarsiero, V., Bonifazi, A., & Scorza, F. (2020). Polycentrism and effective territorial structures: Basilicata Region case study. 1689?1696. https://doi.org/10.1007/978-3-030-48279-4_159

Du, C., Ouyang, M., Zhang, H., Wang, B., & Wang, N. (2023). Resilience patterns of urban road networks under the worst-case localized disruptions. Risk Analysis, 44(10), 2333?2347. https://doi.org/10.1111/risa.14236

Dong, S., Gao, X., Mostafavi, A., & Fan, C. (2022). Modest flooding can trigger catastrophic road network collapse due to compound failure. Communications Earth & Environment, 3(1), 38. https://doi.org/10.1038/s43247-022-00366-0

El-Maissi, A. M., Argyroudis, S. A., & Nazri, F. M. (2020). Seismic vulnerability assessment methodologies for roadway assets and networks: A state-of-the-art review. Sustainability, 13(1), 61. https://doi.org/10.3390/su13010061

El Rashidy, R. A. H., & Grant-Muller, S. (2019). A composite resilience index for road transport networks. Proceedings of the Institution of Civil Engineers ? Transport, 172(3), 174?183. https://doi.org/10.1680/jtran.16.00139

Fang, X., Lu, L., Hong, Y., & Sun, P. (2025). Evaluating dynamic accessibility of transportation network under extreme rainfall and flooding: An integrated framework. IEEE Internet of Things Journal, 12, 38556?38568. https://doi.org/10.1109/jiot.2025.3587223

Florath, J., Chanussot, J., & Keller, S. (2024). Road accessibility during natural hazards based on volunteered geographic information data and network analysis. ISPRS International Journal of Geo-Information, 13(4), 107. https://doi.org/10.3390/ijgi13040107

Fu, Y., et al. (2025). The economic impacts of flood-driven transportation delays. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2025.104436

Furno, A., Faouzi, N., Sharma, R., & Zimeo, E. (2021). Graph-based ahead monitoring of vulnerabilities in large dynamic transportation networks. PLOS ONE, 16. https://doi.org/10.1371/journal.pone.0248764

Galve, J. P., Pez-Garc, J. L., Ruano, P., & et al. (2025). Applications of UAV digital photogrammetry in landslide emergency response and recovery activities: The case study of a slope failure in the A-7 highway (S Spain). Landslides, 22(5), 1383?1396. https://doi.org/10.1007/s10346-024-02449-9

Gu, Y., Shi, R., Yan, Z., Li, Q., & Yue, Y. (2023). How to determine city hierarchies and spatial structure of a megaregion? Geo-spatial Information Science, 27, 276?288. https://doi.org/10.1080/10095020.2022.2161425

Guo, M., Zhao, T., & Gao, Z. (2024). Pre-disaster resource allocation based on network topology and flow features. Transportmetrica A: Transport Science, 1?24. https://doi.org/10.1080/23249935.2024.2344631

He, Z., Navneet, K., van Dam, W., & Van Mieghem, P. (2021). Robustness assessment of multimodal freight transport networks. Reliability Engineering & System Safety, 207, 107315. https://doi.org/10.1016/j.ress.2020.107315

Isya, M., Refiyanni, M., Chaira, C., & Akhyar, A. (2025). Evaluation of the road transportation system in supporting connectivity between activity centers. Construction Technologies and Architecture, 18, 107?117. https://doi.org/10.4028/p-zq3quk

Jafino, B. A., Kwakkel, J., & Verbraeck, A. (2019). Transport network criticality metrics: A comparative analysis and a guideline for selection. Transport Reviews, 40(2), 241?264. https://doi.org/10.1080/01441647.2019.1703843

Jeong, S., & Chang, J. S. (2026). Multidimensional connectivity of North Korean arterial roads. Transportation Letters. https://doi.org/10.1080/19427867.2026.2613233

Juschten, M., Reinwald, F., Weichselbaumer, R., & Jiricka-Prer, A. (2021). Developing an integrative theoretical framework for climate proofing spatial planning across sectors, policy levels and planning areas. Land, 10(8), 772. https://doi.org/10.3390/land10080772

Kim, J., & Lee, B. (2019). More than travel time: New accessibility index capturing the connectivity of transit services. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2019.05.008

Kozhabek, A., & Chai, W. (2025). Robustness assessment of urban road networks in densely populated cities. Applied Network Science, 10. https://doi.org/10.1007/s41109-025-00707-w

Lee, S., Jeon, J., Cho, K., & Im, J. (2025). Does intercity transportation accessibility matter? Its effects on regional network centrality in South Korea. Land. https://doi.org/10.3390/land14040873

Li, J., Chen, Z., Huang, G., & et al. (2026). A dynamic simulation framework for evaluating the impacts of urban flooding on transportation systems. International Journal of Disaster Risk Science, 17, 182?196. https://doi.org/10.1007/s13753-026-00697-y

Li, Y., Liao, C., Li, X., & Guo, R. (2024). Understanding regional structure through spatial networks: A simulation optimization framework for exploring balanced development. Habitat International. https://doi.org/10.1016/j.habitatint.2024.103155

Li, Y., Teng, M., & Liu, Y. (2024). Spatial dynamics of transport accessibility and regional efficiency in the Yangtze River Delta Urban Agglomeration. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-69974-4

Linkov, I., Trump, B. D., Pescaroli, G., & Hynes, W. (2022). Resilience stress testing for critical infrastructure. International Journal of Disaster Risk Reduction, 82, 103323. https://doi.org/10.1016/j.ijdrr.2022.103323

Liu, J., Lu, H., Chen, M., Wang, J., & Zhang, Y. (2020). Macro perspective research on transportation safety: An empirical analysis of network characteristics and vulnerability. Sustainability. https://doi.org/10.3390/su12156267

Liu, J., Xu, Z., Wan, L., & MacAskill, K. (2026). Road transport resilience under extreme rainfall: Integrating multiple impact factors and delay propagation. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2026.106024

Loreti, S., Ser-Giacomi, E., Zischg, A., Klither, M., & Thaler, T. (2022). Local impacts on road networks and access to critical locations during extreme floods. Scientific Reports, 12(1), 1552. https://doi.org/10.1038/s41598-022-04927-3

Martin, B., Ortega, E., Cuevas-Wizner, R., Ledda, A., & De Montis, A. (2021). Assessing road network resilience: An accessibility comparative analysis. Transportation Research Part D: Transport and Environment, 95, 102851. https://doi.org/10.1016/j.trd.2021.102851

Mason, D., & Brabhaharan, P. (2021). Characterisation of transport resilience and measures to enhance resilience in the recovery after the 2016 Kaik?ura earthquake. Bulletin of the New Zealand Society for Earthquake Engineering, 54(2), 69?81. https://doi.org/10.5459/bnzsee.54.2.69-81

Mattsson, L.-G., & Jenelius, E. (2015). Vulnerability and resilience of transport systems: A discussion of recent research. Transportation Research Part A: Policy and Practice, 81, 16?34. https://doi.org/10.1016/j.tra.2015.06.002

Ministry of Public Works and Housing. (2023). Indonesian road capacity guidelines (PKJI) (Guideline No. 09/P/BM/2023). Directorate General of Highways. https://binamarga.pu.go.id/uploads/files/1942/09pbm2023-pedoman-kapasitas-jalan-indonesia-.pdf

Mishra, S., Sahu, P., Pani, A., & Mehran, B. (2021). Spatial planning framework for development of rural activity centers: Method of location allocation, effect on trip length, and policy implications. Papers in Applied Geography, 7, 372?391. https://doi.org/10.1080/23754931.2021.1901237

Melasari, J., P., Y., & Y. (2023). Accessibility towards West Sumatra tourism area. IOP Conference Series: Earth and Environmental Science, 1173, 012049. https://doi.org/10.1088/1755-1315/1173/1/012049

Mossoux, S., et al. (2019). Evaluating the effects of road network disruption on accessibility using iterative road segment removal. Natural Hazards and Earth System Sciences, 19, 1251?1265. https://doi.org/10.5194/nhess-19-1251-2019

Moyano, A., Martez, H., & Coronado, J. (2018). From network to services: A comparative accessibility analysis of the Spanish high-speed rail system. Transport Policy, 63, 51?60. https://doi.org/10.1016/j.tranpol.2017.11.007

Nasrazadani, H., Nogal, M., Adey, B. T., & et al. (2025). Prioritizing simulation-based stress tests to assess the resilience of transport systems: A computation-free methodology. Journal of Infrastructure Preservation and Resilience, 6, 16. https://doi.org/10.1186/s43065-025-00128-0

Papilloud, T., Steiner, A., Zischg, A., & Keiler, M. (2024). Road network disruptions during extreme flooding events and their impact on the access to emergency medical services: A spatiotemporal vulnerability analysis. Science of the Total Environment, 177140. https://doi.org/10.1016/j.scitotenv.2024.177140

Pei, S.-S., Zhai, C.-H., Hu, J., Wang, Z.-Q., & Xie, L.-L. (2024). Resilience assessment and enhancement of interdependent transportation-healthcare system: A spatial accessibility approach. Transportation Research Part D: Transport and Environment, 128, 104090. https://doi.org/10.1016/j.trd.2024.104090

Petrucci, O., & Gariano, S. L. (2026). Road interruptions due to landslides and floods in Southern Italy. Natural Hazards, 122, 209. https://doi.org/10.1007/s11069-026-08025-9

Popescu, C., & B?rbulescu, A. (2025). GIS-based accessibility analysis for emergency response in hazard-prone mountain catchments: A case study of V?rbil?u, Romania. Water, 17(19), 2803. https://doi.org/10.3390/w17192803

Postance, B., Hillier, J., Dijkstra, T., & Dixon, N. (2017). Extending natural hazard impacts: An assessment of landslide disruptions on a national road transportation network. Environmental Research Letters, 12(1), 014010. https://doi.org/10.1088/1748-9326/aa5555

Pregnolato, M., Ford, A., & Dawson, R. (2016). Disruption and adaptation of urban transport networks from flooding. E3S Web of Conferences, 7, 07006. https://doi.org/10.1051/e3sconf/20160707006

Pregnolato, M., Ford, A., Robson, C., Glenis, V., Barr, S., & Dawson, R. (2016). Assessing urban strategies for reducing the impacts of extreme weather on infrastructure networks. Royal Society Open Science, 3(5), 160023. https://doi.org/10.1098/rsos.160023

Pregnolato, M., Ford, A., Wilkinson, S. M., & Dawson, R. J. (2017). The impact of flooding on road transport: A depth-disruption function. Transportation Research Part D: Transport and Environment, 55, 67?81. https://doi.org/10.1016/j.trd.2017.06.020

Prignano, L., Fulminante, F., Galceran Puig, C., Candelas, P., & Cozzo, E. (2026). Roads and rivers: The importance of regional transportation networks for early urbanization in central Italy (950?500 BC). Journal of Archaeological Science, 161, 106513. https://doi.org/10.1016/j.jas.2026.106513

Pyatkova, K., Chen, A. S., Butler, D., Vojinovi?, Z., & Djordjevi?, S. (2019). Assessing the knock-on effects of flooding on road transportation. Journal of Environmental Management, 244, 48?60. https://doi.org/10.1016/j.jenvman.2019.05.013

Rahmoun, T., & Zhao, W. (2024). A new model of a spatial structural map for re-building urban-rural links. International Review for Spatial Planning and Sustainable Development. https://doi.org/10.14246/irspsd.12.1_21

Reggiani, A. (2022). The architecture of connectivity: A key to network vulnerability, complexity and resilience. Networks and Spatial Economics, 22(3), 415?437. https://doi.org/10.1007/s11067-022-09563-y

Rouhana, F., & Jawad, D. (2025). A spatial-network approach to assessing transportation resilience in disaster-prone urban areas. ISPRS International Journal of Geo-Information, 14(7), 261. https://doi.org/10.3390/ijgi14070261

Seleznov, M., & Rudytsia, D. (2025). Design of road and transport structures in territorial and regional settlement systems. Municipal Economy of Cities. https://doi.org/10.33042/2522-1809-2025-3-191-348-354

Shahdani, F. J., Santamaria-Ariza, M., Sousa, H. S., Coelho, M., & Matos, J. C. (2022). Assessing flood indirect impacts on road transport networks applying mesoscopic traffic modelling: The case study of Santar, Portugal. Applied Sciences, 12(6), 3076. https://doi.org/10.3390/app12063076

Shang, W.-L., Chen, Y., Song, C., & Ochieng, W. Y. (2020). Robustness analysis of urban road networks from topological and operational perspectives. Mathematical Problems in Engineering, 2020, 1?12. https://doi.org/10.1155/2020/5875803

Small, M., & Adler, L. (2019). The role of space in the formation of social ties. Annual Review of Sociology. https://doi.org/10.1146/annurev-soc-073018-022707

Tang, H. (2020). Regional patterns and hierarchical tendencies: Analysis of the network connectivity of 63 service-oriented tourist cities in China. Sustainability. https://doi.org/10.3390/su12166532

Tang, J., Wu, S., Yang, S., & Shi, Y. (2024). Resilience assessment of urban road transportation in rainfall. Remote Sensing, 16(17), 3311. https://doi.org/10.3390/rs16173311

Twumasi-Boakye, R., & Sobanjo, J. O. (2018). Resilience of regional transportation networks subjected to hazard-induced bridge damages. Journal of Transportation Engineering, Part A: Systems, 144(10). https://doi.org/10.1061/JTEPBS.0000186

Utama, R. A. (2024, May 12). Akibat banjir bandang di Padang Panjang, jalur Padang-Bukittinggi masih lumpuh [Due to flash floods in Padang Panjang, Padang-Bukittinggi route remains paralyzed]. Kompas.id. https://www.kompas.id/artikel/en-akibat-banjir-bandang-di-padang-panjang-jalur-padang-bukittinggi-masih-lumpuh

Vodak, R., B, M., & K?ivkov Z. (2018). A modified ant colony optimization algorithm to increase the speed of the road network recovery process after disasters. International Journal of Disaster Risk Reduction, 31, 280?289. https://doi.org/10.1016/j.ijdrr.2018.04.004

Wang, Y., Zhan, J., Xu, X., Li, L., Chen, P., & Hansen, M. (2019). Measuring the resilience of an airport network. Chinese Journal of Aeronautics, 32(12), 2694?2706. https://doi.org/10.1016/j.cja.2019.08.023

Wenxin, Lin, S., Ci, Y., & Li, R. (2024). Resilience evaluation and improvement of post-disaster multimodal transportation networks. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2024.104243

Winter, M. G., et al. (2016). The economic impact of landslides and floods on the road network. Procedia Engineering, 143, 1425?1434. https://doi.org/10.1016/j.proeng.2016.06.168

WMO. (2021). Weather-related disasters increase over past 50 years, causing more damage but fewer deaths. World Meteorological Organization. https://wmo.int/media/news/weather-related-disasters-increase-over-past-50-years-causing-more-damage-fewer-deaths

Xie, S., Yang, Z., Wang, M., Xu, G., & Bai, S. (2025). Evaluating the resilience of mountainous sparse road networks in high-risk geological disaster areas: A case study in Tibet, China. Applied Sciences, 15(5), 2688. https://doi.org/10.3390/app15052688

Xiong, J., & Yang, Y. (2024). Climate change and hydrological extremes. Current Climate Change Reports, 11. https://doi.org/10.1007/s40641-024-00198-4

Xu, Z., & Chopra, S. S. (2023). Interconnectedness enhances network resilience of multimodal public transportation systems for safe-to-fail urban mobility. Nature Communications, 14, 4291. https://doi.org/10.1038/s41467-023-39999-w

Yang, Y., Li, Z., Chen, Y., Zhang, X., & Wang, S. (2015). Improving the robustness of complex networks with preserving community structure. PLOS ONE, 10(2), e0116551. https://doi.org/10.1371/journal.pone.0116551

Yang, L., Wang, X., Jiang, X., & Tatano, H. (2023). Assessing the regional economic ripple effect of flood disasters based on a spatial computable general equilibrium model considering traffic disruptions. International Journal of Disaster Risk Science, 14(3), 488?505. https://doi.org/10.1007/s13753-023-00500-2

Ya?ar, M., & Yi?it, M. (2025). Hydrometeorological disasters in the context of the climate crisis: A regional disaster inventory study in Tkiye. Do?al Afetler ve vre Dergisi. https://doi.org/10.21324/dacd.1559696

Zhang, L., Zuo, X., Wu, Z., Chen, C., Pan, Z., & Hu, X. (2023). The spatial structure and driving mechanisms of multi-source networks in the Chengdu-Chongqing Economic Circle of China. ISPRS International Journal of Geo-Information, 12, 411. https://doi.org/10.3390/ijgi12100411

Zhang, X., et al. (2026). Integrated assessments of transportation network resilience combining topological and functional performance metrics. Transportation Engineering, 100420. https://doi.org/10.1016/j.treng.2026.100420

Zheng, S., Wang, J., Yang, X., & Lu, X. (2025). Key corridor identification in multi-objective highway networks based on feature lines. International Journal of Industrial Engineering Computations. https://doi.org/10.5267/j.ijiec.2025.8.008

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2026-09-08

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Eriawan, T., Setiawati, L., Wahyudi, W. W., Romadhani, M., & Fresta, A. A. (2026). Stress Testing the Resilience of Regional Spatial Structure to Hydrometeorological Disaster Disruptions: Empirical Evidence from West Sumatra. Journal of Regional and City Planning, 37(2), 197-229. https://doi.org/10.5614/jpwk.2026.37.2.5

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