Received: 2024-08-29  |  Accepted: 2024-10-27  |  Published: 2024-12-30

Title

Towards a unified regional vision: simulation to foster cross-municipal cooperation and planning


Abstract

Simulation modeling is an effective tool that enables knowledge-based approaches to support decision-making for complex problems. Agent-based modeling (ABM) simulation is particularly powerful in the visualization of macro-outcomes of individual and group-specific behaviour, for example in urban and regional planning. However, the adoption of ABM in practice often overlooks its capabilities. Ineffective planning sets sparsely populated remote regions to risk of suffering from long-term consequences, such as population decline. In these settings, it is important to bring municipalities into a dialogue to share the advantages of common planning at a regional scale for their mutual advancement. This study aims to explore the potential of applying ABM and its visual capabilities to support regionwide planning. For this purpose, we develop a model of accessibility of a Swedish region to enhance awareness of common problems with regional accessibility and lift the planning focus from a local scale to a regional one. The model in this paper draws on empirical data from interactions with planners in a region of six municipalities with varying degrees of urbanization in a sparsely populated remote area in Sweden. The model visualizes the dynamic changes in accessibility and demonstrates how destination clustering outplays on a higher system level usually overlooked in planning. The simulation of the case shows that aggravated agglomeration effects will prevent municipalities from developing their centers if they do not consider the opportunities in neighbouring areas within the same region. The paper contributes insights that stimulate the adoption of simulation in complex domains, such as public planning that seeks to align local and regional perspectives


Keywords

agent-based modeling (ABM), regional accessibility, regional planning, simulation, case study


JEL classifications

C63 , N94 , O18 , O21 , R58


URI

http://jssidoi.org/ird/article/177


DOI


Pages

54-81


Funding

This research was financially supported by the co-operation agreements 2017/715, 2015/2147 and 2017/1014 between the Mid Sweden University and the municipalities of Sundsvall, Härnösand, and Timrå as well as Hudiksvall, Nordanstig and Ånge, Sweden.

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Kazieva, Victoria
Mid Sweden University, Sundsvall, Sweden https://www.miun.se
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Große, Christine
Mid Sweden University, Sundsvall, Sweden https://www.miun.se
Luleå University of Technology, Luleå, Sweden https://www.ltu.se
Articles by this author in: CrossRef |  Google Scholar

Larsson, Aron
Mid Sweden University, Sundsvall, Sweden https://www.miun.se
Stockholm University, Stockholm, Sweden https://www.su.se
Articles by this author in: CrossRef |  Google Scholar

Journal title

Insights into Regional Development

Volume

6


Number

4


Issue date

December 2024


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 1125  |  PDF downloads: 400

References


Adolphson, M., & Jonsson, D. 2020. Uncover the theory practice gap in Swedish transport planning: An interdisciplinary approach. European Planning Studies, 28(11), 2237-2260. https://doi.org/10.1080/09654313.2020.1715927

Search via ReFindit


Belfrage, M., Lorig, F., & Davidsson, P. 2022. Making Sense of Collaborative Challenges in Agent-Based Modelling for Policy-Making. Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022), Vol. 3420. Ed. By Sileno G., Lettieri N., Becker C. December 14, Saarbrücken, Germany. Retrieved from CEUR Workshop Proceedings (CEUR-WS.org).

Search via ReFindit


Bergkvist Andersson, H., & Schmitt, P. 2024. Disclosing the logics of non-statutory regional planning: The case of Sweden. European Planning Studies, 32(8), 1793-1812. https://doi.org/10.1080/09654313.2024.2337308

Search via ReFindit


Bjärstig, T., Thellbro, C., Stjernström, O., Svensson, J., Sandström, C., Sandström, P., & Zachrisson, A. 2018. Between protocol and reality – Swedish municipal comprehensive planning. European Planning Studies, 26(1), 35-54. https://doi.org/10.1080/09654313.2017.1365819

Search via ReFindit


Boisjoly, G., & El-Geneidy, A. M. 2017. The insider: A planners’ perspective on accessibility. Journal of Transport Geography, 64, 33-43. https://doi.org/10.1016/j.jtrangeo.2017.08.006

Search via ReFindit


Borshchev, A., & Filippov, A. 2004. From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. The Proceedings of the 22nd International Conference of the System Dynamics Society. July, 2004, Oxford, England. http://www2.econ.iastate.edu/tesfatsi/systemdyndiscreteeventabmcompared.borshchevfilippov04.pdf

Search via ReFindit


Chapuis, K., Taillandier, P., & Drogoul, A. 2022. Generation of Synthetic Populations in Social Simulations: A Review of Methods and Practices. Journal of Artificial Societies and Social Simulation, 25(2), 6. https://doi.org/10.18564/jasss.4762

Search via ReFindit


Davis, M. C., Hughes, H. P. N., McKay, A., Robinson, M. A., & van der Wal, C. N. 2020. Ergonomists as designers: Computational modelling and simulation of complex socio-technical systems. Ergonomics, 63(8), 938-951. https://doi.org/10.1080/00140139.2019.1682186

Search via ReFindit


Ding, Z., Gong, W., Li, S., & Wu, Z. 2018. System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management. Sustainability, 10(7), Article 7. https://doi.org/10.3390/su10072484

Search via ReFindit


Edmonds, B., Le Page, C., Bithell, M., Chattoe-Brown, E., Grimm, V., Meyer, R., Montañola-Sales, C., Ormerod, P., Root, H., & Squazzoni, F. 2019. Different Modelling Purposes. Journal of Artificial Societies and Social Simulation, 22(3), 6. https://doi.org/10.18564/jasss.3993

Search via ReFindit


Furtado, Bernardo Alves. 2022. Simulation Modeling as a Policy Tool. In The Routledge Handbook of Policy Tools, edited by Michael Howlett, 270-81. https://doi.org/10.4324/9781003163954-27

Search via ReFindit


Ghafoor, N., Fayyaz, S., Nisa, M.-U.-, & Akbar, M. R. 2021. An empirical investigation of socio-economic impacts of agglomeration economies in major cities of Punjab, Pakistan. Cogent Economics & Finance, 9(1), 1975915. https://doi.org/10.1080/23322039.2021.1975915

Search via ReFindit


Goldspink, C. 2002. Methodological Implications of Complex Systems Approaches to Sociality: Simulation as a foundation for knowledge. Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, 5(1). https://www.jasss.org/5/1/3.html

Search via ReFindit


Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., Goss-Custard, J., Grand, T., Heinz, S. K., Huse, G., Huth, A., Jepsen, J. U., Jørgensen, C., Mooij, W. M., Müller, B., Pe’er, G., Piou, C., Railsback, S. F., Robbins, A. M., … DeAngelis, D. L. 2006. A standard protocol for describing individual-based and agent-based models. Ecological Modelling, 198(1), 115-126. https://doi.org/10.1016/j.ecolmodel.2006.04.023

Search via ReFindit


Grimm, V., Railsback, S. F., Vincenot, C. E., Berger, U., Gallagher, C., DeAngelis, D. L., Edmonds, B., Ge, J., Giske, J., Groeneveld, J., Johnston, A. S. A., Milles, A., Nabe-Nielsen, J., Polhill, J. G., Radchuk, V., Rohwäder, M.-S., Stillman, R. A., Thiele, J. C., & Ayllón, D. 2020. The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism. Journal of Artificial Societies and Social Simulation, 23(2), 7. https://doi.org/10.18564/jasss.4259

Search via ReFindit


Große, Ch. 2022. Towards a Holistic Perspective on Future Transportation Systems: A Swedish Case and a Conceptual Framework. Future Transportation 2(4), 846-867. https://doi.org/10.3390/futuretransp2040047

Search via ReFindit


Große, Ch., & Olausson, P.M. 2019. Blind spots in interaction between actors in Swedish planning for critical infrastructure protection. Safety Science, 118, 424-434. https://doi.org/10.1016/j.ssci.2019.05.049

Search via ReFindit


Große, Ch.. 2023. A Review of the Foundations of Systems, Infrastructure and Governance. Safety Science 160: 106060. https://doi.org/10.1016/j.ssci.2023.106060

Search via ReFindit


Grundel, I., & Magnusson, D. 2022. Planning to Grow, Planning to Rock on – Infrastructure Management and Development in Shrinking Municipalities. European Planning Studies, 31(6), 1184-1202. https://doi.org/10.1080/09654313.2022.2108311

Search via ReFindit


Jamei, E., Chan, M., Chau, H. W., Gaisie, E., & Lättman, K. 2022. Perceived Accessibility and Key Influencing Factors in Transportation. Sustainability, 14(17), 10806. https://doi.org/10.3390/su141710806

Search via ReFindit


Kazieva, V. Forthcoming. 2024. Unpacking Complex Concepts to Enhance Use of Dynamic Simulations. In The Proceedings of the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024).

Search via ReFindit


Kazieva, V., Große, C., & Larsson, A. 2023. Accessibility Measures and Indicators: A Basis for Dynamic Simulations to Improve Regional Planning. In I. Czarnowski, R. J. Howlett, & L. C. Jain (Eds.), Intelligent Decision Technologies (pp. 25-34). Springer Nature. https://doi.org/10.1007/978-981-99-2969-6_3

Search via ReFindit


Kazieva, V., Große, C., & Larsson, A. 2024. Accessibility in Sparsely Populated Remote Areas: Key Variables for Informed Regional Planning. In K. Gao, Y. Bie, R. J. Howlett, & L. C. Jain (Eds.), Smart Transportation Systems 2024 (pp. 25-35). Springer Nature. https://doi.org/10.1007/978-981-97-6748-9_3

Search via ReFindit


Kelly (Letcher), R. A., Jakeman, A. J., Barreteau, O., Borsuk, M. E., ElSawah, S., Hamilton, S. H., Henriksen, H. J., Kuikka, S., Maier, H. R., Rizzoli, A. E., van Delden, H., & Voinov, A. A. 2013. Selecting among five common modelling approaches for integrated environmental assessment and management. Environmental Modelling & Software, 47, 159-181. https://doi.org/10.1016/j.envsoft.2013.05.005

Search via ReFindit


Kotavaara, O., Pukkinen, M., Antikainen, H., & Rusanen, J. 2014. Role of Accessibility and Socio-Economic Variables in Modelling Population Change at Varying Scale. Journal of Geographic Information System, 6(4), Article 4. https://doi.org/10.4236/jgis.2014.64034

Search via ReFindit


Law, A. M. 2007. Simulation Modeling and Analysis. 4. ed. McGraw-Hill Series in Industrial Engineering and Management Science. McGraw-Hill. , pp. 71-76. https://search.ebscohost.com/login.aspx?direct=true&db=cat09049a&AN=miu.oai.miun.se.103210&lang=sv&site=eds-live

Search via ReFindit


Lawlor, J. A., & McGirr, S. 2017. Agent-based modeling as a tool for program design and evaluation. Evaluation and Program Planning, 65, 131-138. https://doi.org/10.1016/j.evalprogplan.2017.08.015

Search via ReFindit


Li, L., Zhang, J., Nian, S., & Zhang, H. 2017. Tourists’ perceptions of crowding, attractiveness, and satisfaction: A second-order structural model. Asia Pacific Journal of Tourism Research, 22(12), 1250-1260. https://doi.org/10.1080/10941665.2017.1391305

Search via ReFindit


López, E., Gutiérrez, J., & Gómez, G. 2008. Measuring Regional Cohesion Effects of Large-scale Transport Infrastructure Investments: An Accessibility Approach. European Planning Studies, 16(2), 277-301. https://doi.org/10.1080/09654310701814629

Search via ReFindit


Marcouiller, D. W. 2007. “Boosting” Tourism as Rural Public Policy: Panacea or Pandora’s Box? Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, 37(1), 1-4. https://doi.org/10.22004/ag.econ.132975

Search via ReFindit


Oklevik, O., Gössling, S., Hall, C. M., Steen Jacobsen, J. K., Grøtte, I. P., & McCabe, S. 2019. Overtourism, optimisation, and destination performance indicators: A case study of activities in Fjord Norway. Journal of Sustainable Tourism, 27(12), 1804-1824. https://doi.org/10.1080/09669582.2018.1533020

Search via ReFindit


Österle, H., Becker, J., Frank, U., Hess, T., Karagiannis, D., Krcmar, H., Loos, P., Mertens, P., Oberweis, A., & Sinz, E. J. (2011). Memorandum on design-oriented information systems research. European Journal of Information Systems, 20(1), 7–10. https://doi.org/10.1057/ejis.2010.55

Search via ReFindit


Peeters P., Gössling, S., Klijs, J., Milano, C., Novelli, M., Dijkmans, C., Eijgelaar, E., et al. 2018. Research for TRAN Committee - Overtourism: Impact and possible policy responses. European Parliament. Brussels: Policy Department for Structural and Cohesion Policies. https://policycommons.net/artifacts/1335648/research-for-tran-committee-overtourism/1942316/

Search via ReFindit


Rosenthal, S. S., & Strange, W. C. 2003. Geography, Industrial Organization, and Agglomeration. The Review of Economics and Statistics, 85(2), 377–393. https://www.jstor.org/stable/3211587

Search via ReFindit


Statistics Sweden. 2021. Average Life Expectancy in Sweden. Örebro: Statistics Sweden. . https://www.scb.se/hitta-statistik/sverige-i-siffror/manniskorna-i-sverige/medellivslangd-i-sverige/

Search via ReFindit


Statistics Sweden. 2022. Population in the state, counties and municipalities 31 December 2022 and population changes in 2022. Statistics Sweden. https://www.scb.se/hitta-statistik/statistik-efter-amne/befolkning/befolkningens-sammansattning/befolkningsstatistik/pong/tabell-och-diagram/folkmangd-och-befolkningsforandringar---helarsstatistik/folkmangd-i-riket-lan-och-kommuner-31-december-2022-och-be

Search via ReFindit


Sterman, J. D. 2000. Business dynamics: Systems Thinking and Modeling for a Complex World. USA: Irwin/McGraw-Hill.

Search via ReFindit


Straatemeier, T., & Bertolini, L. 2020. How can planning for accessibility lead to more integrated transport and land-use strategies? Two examples from the Netherlands. European Planning Studies, 28(9), 1713-1734. https://doi.org/10.1080/09654313.2019.1612326

Search via ReFindit


Sun, Z., Lorscheid, I., Millington, J. D., Lauf, S., Magliocca, N. R., Groeneveld, J., Balbi, S., Nolzen, H., Müller, B., Schulze, J., & Buchmann, C. M. 2016. Simple or complicated agent-based models? A complicated issue. Environmental Modelling & Software, 86, 56-67. https://doi.org/10.1016/j.envsoft.2016.09.006

Search via ReFindit


Swedish Research Council, & The Institute for Futures Studies. 2023, April 20. Offentliga samtal: Samtida konflikter om framtida transporter. Vem tar ansvar? [Video]. https://www.youtube.com/watch?v=8hNlYMpwImw

Search via ReFindit


Yin, J., Cheng, Y., Bi, Y., & Ni, Y. 2020. Tourists perceived crowding and destination attractiveness: The moderating effects of perceived risk and experience quality. Journal of Destination Marketing & Management, 18, 100489. https://doi.org/10.1016/j.jdmm.2020.100489

Search via ReFindit