Abstract
Simulation tools aimed at enhancing cross-sectoral cooperation can support the transition from a traditional transport planning approach based on predictions towards more integrated and participatory urban mobility planning. This shift entails a broader appraisal of urban dynamics and transformations in the policy framework, capitalizing on new developments in urban modelling. In this paper, we argue that participatory social simulation can be used to solve these emerging challenges in mobility planning. We identify the functionalities that such a tool should have when supporting integrated mobility planning. Drawing on a transdisciplinary case study situated in Potsdam, Germany, we address through interviews and workshops stakeholders’ needs and expectations and present the requirements of an actionable tool for practitioners. As a result, we present three main challenges for participatory, simulation-based transport planning, including: (1) enhancement of the visioning process by testing stakeholders’ ideas under different scenarios and conditions to visualise complex urban relationships; (2) promotion of collective exchange as means to support stakeholder communication; and (3) credibility increase by early stakeholder engagement with model development. We discuss how our participatory modelling approach helps us to better understand the gaps in the knowledge of the planning process and present the coming steps of the project.
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Notes
- 1.
Insofar at the European level, almost 830 SUMPs have been finalized and 100 more are under preparation [19] and in Germany, most of municipal transport strategies are oriented to the SUMP [20]. This trend is expected to continue as the European Court of Auditors suggested to make the existence of SUMP a mandatory requirement to access EU funding for urban mobility investments [19].
- 2.
The interviews took place both in-site and on-line between June and July 2020, according to personal preferences and the restrictions of the COVID-19 pandemic. The conversations took place in German language and the transcripts quoted in this paper are our own translation.
References
Russo, P., Lanzilotti, R., Costabile, M.F., Pettit, C.J.: Adoption and use of software in land use planning practice: a multiple-country study. Int. J. Hum.-Comput. Interact. 34(1), 57–72 (2017)
Devlin, C.: Digital social innovation and the adoption of #PlanTech: the case of Coventry city council. Urban Plan. 5(4), 59–67 (2020)
Billger, M., Thuvander, L., Wästberg, B.S.: In search of visualization challenges: the development and implementation of visualization tools for supporting dialogue in urban planning processes. Environ. Plan. B: Urban Anal. City Sci. 44(6), 1012–1035 (2017)
Étienne, M. (Ed.).: Companion Modelling: A Participatory Approach to Support Sustainable Development. Springer Science & Business Media. Springer, Dordrecht (2013)
Van Wee, B.: Toward a new generation of land use transport interaction models. J. Transp. Land Use 8(3), 1–10 (2015)
Acheampong, R.A., Silva, E.A.: Land use–transport interaction modeling: a review of the literature and future research directions. J. Transp. Land Use 8(3), 11–38 (2015)
Wegener, M.: Land-use transport interaction models. Handbook of Regional Science, pp. 229–246 (2021)
González-Méndez, M., Olaya, C., Fasolino, I., Grimaldi, M., Obregón, N.: Agent-based modeling for urban development planning based on human needs. conceptual basis and model formulation. Land Use Policy 101, 105110 (2021)
Næss, P., Strand, A.: What kinds of traffic forecasts are possible? J. Critical Realism 11(3), 277–295 (2012)
Raghothama, J., Meijer, S.: Distributed, integrated and interactive traffic simulations. In: 2015 Winter Simulation Conference (WSC), pp. 1693–1704. IEEE (2015)
Johnson, M.G.: City in code: the politics of urban modeling in the age of big data. Open Philos. 3(1), 429–445 (2020)
Barreteau, O., Bots, P., Daniell, K., Etienne, M., Perez, P., Barnaud, C., Bazile, D., Becu, N., Castella, J. C., Darè, W., Trebuil, G.: Participatory approaches. In Simulating Social Complexity, pp. 253–292. Springer, Cham (2017)
Bousquet, F., Etienne, M., D'Aquino, P.: Introduction. In: Companion Modelling: A Participatory Approach to Support Sustainable Development, pp. 1–12. Springer, Dordrecht (2014)
Vigar, G.: The four knowledges of transport planning: enacting a more communicative, trans-disciplinary policy and decision-making. Transp. Policy 58, 39–45 (2017)
Diller, C., Hoffmann, A., Oberding, S.: Rational versus communicative: towards an understanding of spatial planning methods in German planning practice. Plan. Pract. Res. 33, 244–263 (2018)
Batty, M.: Inventing Future Cities. MIT Press (2018)
Perez, P., Banos, A., Pettit, C.: Agent-based modelling for urban planning current limitations and future trends. In: International Workshop on Agent Based Modelling of Urban Systems, pp. 60–69. Springer, Cham (2016)
Rupprecht Consult (eds): Guidelines for developing and implementing a sustainable urban Mobility Plan, 2nd ed., Köln (2019). https://www.eltis.org/mobility-plans/sump-guidelines. Accessed 03 Aug 2021
Werland, S.: Diffusing sustainable urban mobility planning in the EU. Sustainability 12(20), 8436 (2020)
Horn, B., Kiel, T., von Lojewski, H.: Sustainable urban mobility for all agenda for a mobility transition from municipal standpoint A position paper by the association of German Cities. (2021). https://www.staedtetag.de/files/dst/docs/Publikationen/Publications-in-English/position-paper-sustainable-urban-mobility-for-all.pdf. Accessed 03 Aug 2021
Horni, A., Nagel, K., Axhausen, K.W. (Eds.): The Multi-Agent Transport Simulation MATSim. Ubiquity Press (2016)
Lopez, P.A., Behrisch, M., Bieker-Walz, L., Erdmann, J., Flötteröd, Y.P., Hilbrich, R., Lücken, L., Rummel, J., Wagner, P., Wießner, E.: Microscopic traffic simulation using sumo. In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2575–2582. IEEE (2018)
Louen, C., Horn, D.: Simulation game for future mobility–support tool for the discussion process about scenarios of future mobility in SUMP processes. In: Real Corp 2014 – Plan it smart! Clever Solutions for Smart Cities. Proceedings of 19th International Conference on Urban Planning, Regional Development and Information Society, pp. 525–531. CORP–Competence Center of Urban and Regional Planning (2014)
Shrestha, R., Köckler, H., Flacke, J., Martinez, J., Van Maarseveen, M.: Interactive knowledge co-production and integration for healthy urban development. Sustainability 9(11), 1945 (2017)
Flacke, J., Shrestha, R., Aguilar, R.: Strengthening participation using interactive planning support systems: a systematic review. ISPRS Int. J. Geo Inf. 9(1), 49 (2020)
Crooks, A.T., Heppenstall, A.J.: Introduction to agent-based modelling. In: Agent-Based Models of Geographical Systems, pp. , 85–105. Springer, Dordrecht (2012)
Rudolph, F., Black, C., Glensor, K., Hüging, H., Lah, O., McGeever, J., Mingardo, G., Parkhurst, G., Plevnik, A., Shergold, I., Streng, M.: Decision-making in sustainable urban mobility planning: common practice and future directions. World Transp. Policy Pract. 21(3), 54–64 (2015)
Basu, R.R., Banerjee, P.M., Sweeny, E.G.: Frugal innovation: core competencies to address global sustainability. J. Manag. Glob. Sustain. 1(2), 63–82 (2013)
Bhatti, Y.A.: What is frugal, what is innovation? Towards a theory of frugal innovation. SSRN Electron. J. (2012)
Priebe, M., Schröder, T., Szczepanska, T., Higi, L.: Participatory modeling as a tool for communicative planning: a frugal approach. Currently under review (2021)
Higi, L., Schröder, T., Michel, A., Tauch, A.: PaSyMo: Developing and Testing a Participatory Modeling Toolbox for Urban Systems. SUMO Conference, From Traffic Flow to Mobility Modeling (2020). https://www.youtube.com/watch?v=W1OVhEECDYY. Accessed 03 Aug 2021
MaaS4P: Intelligente und automatisierte Mobilität in Potsdam (2021). https://www.fh-potsdam.de/forschen/projekte/projekt-detailansicht/project-action/maas4p-intelligente-und-automatisierte-mobilitaet-in-potsdam/. Accessed 03 Aug 2021
MaaS L.A.B.S.(2021). https://www.maas4.de/. Accessed 03 Aug 2021
Ortgiese, M., Berkes, C., Recknagel, C.: Dokumentation Konzeptphase Mobility as a Service for Potsdam (MaaS4P). Potsdam: FHP (2019)
Aguilera, A., Cacciari, J.: Living with fewer cars: review and challenges on household demotorization. Transp. Rev. 40(6), 796–809 (2020)
Barreteau, O., Bousquet, F., Étienne, M., Souchère, V., d’Aquino, P.: Companion modelling: a method of adaptive and participatory research. In: Companion Modelling: A Participatory Approach to Support Sustainable Development, pp. 13–40. Springer, Dordrecht (2014)
Knapp, J., Kowitz, B., Zeratsky, J.: Sprint. Wie man in nur fünf Tagen neue Ideen testet und Probleme löst. Redline Verlag, München (2017)
Taillandier, P., Grignard, A., Marilleau, N., Philippon, D., Huynh, Q. N., Gaudou, B., Drogoul, A.: Participatory modeling and simulation with the GAMA platform. J. Artif. Soc. Soc. Simul. 22(2) (2019)
Taillandier, P.: Traffic simulation with the GAMA platform. In: Eighth International Workshop on Agents in Traffic and Transportation, p. 8 (2014)
Popiolek, R., Dametto, D., Tauch, A.: Geodaten für Mobilitätssimulationen – Verarbeitung von Open Geodata zum Einsatz im Simulationstool GAMA unter Verwendung von QGIS. In: AGIT - Journal für Angewandte Geoinformatik, p. 7 (2021)
Higi, L., Schröder, T., Dametto, D., Michelini, G., Michel, A., Tauch, A.: PaSyMo + SmartUpLab: developing and testing a participatory modelling toolbox for urban systems. In: GAMA days 2021 (2021) . https://www.irit.fr/GamaDays2021/wp-content/uploads/2021/06/GAMA-days-2021-abstracts.pdf. Accessed 19 Aug 2021
Meuser, M., Nagel, U.: ExpertInneninterview: Zur Rekonstruktion spezialisierten Sonderwissens. In: Becker R., Kortendiek B. (eds.) Handbuch Frauen- und Geschlechterforschung, pp. 376–379. VS Verlag für Sozialwissenschaften. GWV Fachverlage GmbH, Wiesbaden (2008)
Thornberg, R., Charmaz, K.: Grounded theory and theoretical coding. In: Flick, U. (ed.) The SAGE Handbook of Qualitative Data Analysis, pp. 153–183. SAGE, London (2014)
Atlas.ti 9 for Mac (2020)
Lindenau, M., Böhler-Baedeker, S.: Citizen and stakeholder involvement: a precondition for sustainable urban mobility. Transp. Res. Procedia 4, 347–360 (2014)
Interview with a decision-maker, Potsdam, 7th July 2020
City transport planner#1, city transport planner#2, Potsdam, 14th July 2020
Representative of the public transport provider#1, Potsdam, 16th July 2020
Mobility researcher#1, Potsdam, 29th June 2020
Representative of the public transport provider#2, Potsdam, 6th June 2020
Mobility researcher#2, Potsdam, 30th June 2020
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SmartUpLab is funded by the European Regional Development Fund (ERDF, Europäische Fonds für regionale Entwicklung - EFRE in German), grant number 85037057.
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Dametto, D. et al. (2022). Developing a Stakeholder-Centric Simulation Tool to Support Integrated Mobility Planning. In: Czupryna, M., Kamiński, B. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-92843-8_6
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