Urban-specific planning strategies for advancing the Suandok Medical Innovation District: a pathway to sustainable development in Chiang Mai, Thailand
DOI:
https://doi.org/10.12775/bgeo-2026-0037Keywords
Innovation District Planning, Place-based Approach, Analytic Hierarchy Process (AHP), Kernel Density Estimation (KDE), Sustainable CityAbstract
Suandok Medical Innovation District (SMID) serves as a key hub for medical education, services, research centers, schools and medical innovation development, aiming to enhance service delivery efficiency. Especially since the COVID-19 pandemic, there has been rapidly growing interest in urban policy in SMID and the town of Chiang Mai. However, the institutional environment may not fully address the evolving needs of SMID. To investigate this potential disparity, urban-specific planning emerges as a novel approach that promotes collaborative infrastructure use, accessibility, and enhanced quality of life. Using observation research, this paper aimed to formulate a planning strategy for SMID, employing a place-based approach that uses Kernel Density Estimation (KDE) via Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) to identify key planning factors. ...
References
Andika, I., Andri, I.R., Isradi, M. & Prasetijo, J. (2022). A Traffic Management System for Minimization of Intersection Traffic Congestion: Case Bengkong Junction, Batam. IJEBD (International Journal of Entrepreneurship and Business Development), 5(5): 945-956.
Barca, F., McCann, P., & Rodríguez-Pose, A. (2012). The case for regional development intervention: Place-based versus place-neutral approaches. Journal of Regional Science, 52(1): 134–152. https://doi.org/10.1111/j.1467-9787.2011.00756.x
Borruso, G., & Schoier, G. (2004). Density analysis on large geographical databases. Search for an index of centrality of services at urban scale. In Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part II. Berlin/Heidelberg: Springer.
Braun, L.M., & Malizia, E. (2015). Downtown vibrancy influences public health and safety outcomes in urban counties. Journal of Transport
& Health, 2(4): 540–548. https://doi.org/10.1016/j.jth.2015.08.005
Chiang Mai Municipality (2024). The number of people by communities. Chiang Mai: Author.
Chiang Mai Province (2024). Chiang Mai Provincial Development Plan 2023 – 2027. http://www.chiangmai.go.th/managing/public/D2/2D24Aug2022155450.pdf
Chiang Mai University (2024). The number of staff and students in Suandok Campus. Chiang Mai: Author.
Clark, P.J., & Evans, F.C. (1954). Distance to nearest neighbor as a measure of spatial relationships in populations. Ecology, 35(4): 445–453. https://doi.org/10.2307/1931034
Cullingworth, B., Cave, B., Vincent, S., & Caves, R. (2014). Town and Country Planning in the UK. Routledge.
Davis, A., & Wagner, B. (2025). Understanding the role of ‘sense of place’ in the production and consumption of innovation districts. Innovation: Organization & Management, 27(4): 585–599. https://doi.org/10.1080/14479338.2024.2363258
Duan, Y., Lu, D., & Bian, L. (2024). New method of evaluating spatial quality for innovation districts: A case study of Haidian and Chaoyang districts, Beijing. Frontiers of Architectural Research, 13: 1288-1307. https://doi.org/10.1016/j.foar.2024.09.002
Fastenrath, S., Tavassoli, S., Sharp, D., Raven, R. Coenen, L., Wilson, B., & Schraven, D. (2023). Mission-Oriented Innovation Districts: Towards challenge-led, place-based urban innovation. Journal of Cleaner Production, 418 (2023): 138079. https://doi.org/10.1016/j.jclepro.2023.138079
Healey, P. (2007). Urban Complexity and Spatial Strategies: a relational place-making governance approach. Routledge.
Jacobs, J. (1961). The death and life of great American cities. Random House.
Kalliomäki, H., Oinas, P., & Salo, T. (2024). Innovation districts as strategic urban projects: The emergence of strategic spatial planning for urban innovation. European Planning Studies, 32(1), 78–96. https://doi.org/10.1080/09654313.2023.2216727
Katz, B., & Wagner, J. (2014). The Rise of Innovation Districts: A New Geography of Innovation in America. Brookings Institution.
Leyden, D.P., Link, A.N., & Siegel, D.S. (2014). A theoretical analysis of the role of social networks in entrepreneurship. Research Policy, 43(7): 1157–1163. https://doi.org/10.1016/j.respol.2014.04.010
Pfotenhauer, S., & Jasanoff, S. (2017). Panacea or diagnosis? Imaginaries of innovation and the ‘MIT model’ in three political cultures. Soc. Stud. Sci., 47: 783–810.
Pongruengkiat, W., Tippayawong, K. Y., Aggarangsi, P., Pichayapan, P., Katongtung, T., & Tippayawong, N. (2023). Assessing sustainability of Chiang Mai urban development. Discover Sustainability, 4: 54. https://doi.org/10.1007/s43621-023-00174-2
Pujinda, P., & Sanit, P. (2022). Concept of the innovation district development: A case study of Yothi Medical and Healthcare Innovation District. Journal of Architectural/Planning Research and Studies (JARS), 19(2): 81–92. https://doi.org/10.56261/jars.v19i2.245908
Saaty, T.L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48(1): 9-26.
Saaty, T.L.. (1994). How to Make a Decision: The Analytic Hierarchy Process. Aestimum. 24: https://doi.org/10.1287/inte.24.6.19
Shach-Pinsly, D. (2019). Measuring security in the built environment: Evaluating urban vulnerability in a human-scale urban form. Landscape and Urban Planning, 191. https://doi.org/10.1016/j.landurbplan.2018.08.022
Silverman, B.W. (1986). Density estimation for statistics and data analysis. Chapman & Hall.
Thompson, A.E., Walden, J.P., Chase, A.S.Z.,
et al. (2022). Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale. PLOS ONE, 17(11): e0275916. https://doi.org/10.1371/journal.pone.0275916
Van den Berg, M., Wendel-Vos, W., Van Poppel, M., Kemper, H., Van Mechelen, W., & Maas, J. (2015). Health benefits of green spaces in the living environment: A systematic review of epidemiological studies. Urban Forestry & Urban Greening, 14(4): 806-816. https://doi.org/10.1016/j.ufug.2015.07.008
Vargas, L.G. (1990). An overview of the Analytic Hierarchy Process and its applications. European Journal of Operational Research, 48(1): 2–8.
Wagner, J., Katz, B. & Osha, T. (2019). The Evolution of Innovation Districts: The New Geography of Global Innovation. New York: The Global Institute on Innovation Districts. https://giid.org/research/evolution-of-innovation-districts/
Xie, F., Liu, G., & Zhuang, T. (2021). A comprehensive review of urban regeneration governance for developing appropriate governance arrangements. Land (Switzerland), 10(5): 545. https://doi.org/10.3390/land10050545
Yang, J., Zhu, J., Sun, Y., & Zhao, J. (2019). Delimitating urban commercial central districts by combining kernel density estimation and road intersections: a case study in Nanjing City, China. ISPRS International Journal of Geo-Information, 8(2): 93.
Yigitcanlar, T.,R. Adu-McVie, & Erol, I. (2020). “How Can Contemporary Innovation Districts be Classified? A Systematic Review of the Literature. Land Use Policy, 95: 104595. https://doi.org/10.1016/j.landusepol.2020.104595
Zhao, P., Ali, Z.M., & Ahmad, Y. (2023). Developing indicators for sustainable urban regeneration in historic urban areas: Delphi method and Analytic Hierarchy Process (AHP). Sustainable Cities and Society, 99: 104990. https://doi.org/10.1016/j.scs.2023.104990
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Umpiga Shummadtayar, Sirianong Namwongprom, Rossarin Osathanunkul, Rattapong Angkasith, Sirakorn Tanburana

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Title, logo and layout of journal Bulletin of Geography. Socio-economic Series are reserved trademarks of Bulletin of Geography. Socio-economic Series.Stats
Number of views and downloads: 11
Number of citations: 0