Abstract
Urban resilience is an emerging approach to planning in cities. In last few decades, this concept has been also used as fundamental principle to set up urban development strategies. Urban resilience is a multi-dimensional and dynamic phenomenon and applied to urban planning it leads to cities being considered as complex socio-economic systems. The reason why few cities take appropriate action to enhance their resilience lies in the difficulty of evaluating this process in terms of time. This paper aims to overcome the difficulties which afflict the concept of urban resilience when involved in urban planning, using a System Dynamics Model (SDM) as an evaluation tool to assess how urban resilience can change cities over time, addressing their complexity. This evaluation model is applied to simulate two different urban scenarios for a real case study in the city of Turin (Italy).
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References
Meerow, S., Newell, J.P., Stults, M.: Defining urban resilience: a review. Landsc. Urban Plan. 147, 38–49 (2016). https://doi.org/10.1016/j.landurbplan.2015.11.011
Sharifi, A., Yamagata, Y.: Resilience-oriented urban planning. In: Yamagata, Y., Sharifi, A. (eds.) Resilience-Oriented Urban Planning. LNE, vol. 65, pp. 3–27. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75798-8_1
WEF: The Global Risk Report 2018 13th Edition. http://www3.weforum.org/docs/WEF_GRR18_Report.pdf. Accessed 12 Mar 2019
UNISDR: Hyogo Framework for Action 2005–2015: Building the resilience of nations and communities to disasters (2005). https://www.unisdr.org/2005/wcdr/intergover/official-doc/L-docs/Hyogo-framework-for-action-english.pdf
UNISR: Sendai Framework for Disaster Risk Reduction 2015–2030 (2015). https://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdf
Folke, C., Carpenter, S.R., Walker, B., Scheffer, M., Chapin, T., Rockström, J.: Resilience thinking: integrating resilience, adaptability and transformability. Ecol. Soc. 15(4) (2010). http://www.ecologyandsociety.org/vol15/iss4/art20/
Desouza, K.C., Flanery, T.H.: Designing, planning, and managing resilient cities: a conceptual framework. Cities 25, 89–99 (2013). https://doi.org/10.1016/j.cities.2013.06.003
Ahern, J.: From fail-safe to safe-to-fail: sustainability and resilience in the new urban world. Landsc. Urban Plan. 100(4), 341–343 (2011). https://doi.org/10.1016/j.landurbplan.2011.02.021
Pluchinotta, I., Pagano, A., Giordano, R., Tsoukiàs, A.: A system dynamics model for supporting decision-makers in irrigation water management. J. Environ. Manag. 222, 815–824 (2018). https://doi.org/10.1016/j.jenvman.2018.06.083
Guan, D., Gao, W., Su, W., Li, H., Hokao, K.: Modeling and dynamic assessment of urban economy-resource-environment system with a coupled system dynamic – geographic information system model. Ecol. Indic. 11, 1333–1344 (2011). https://doi.org/10.1016/j.ecolind.2011.02.007
Park, M., Kim, Y., Lee, H., Han, S., Hwang, S., Choi, M.J.: Modelling the dynamics of urban development projects: focusing on self-sufficient city development. Math. Comput. Model. 57, 2082–2093 (2013). https://doi.org/10.1016/j.mcm.2011.05.058
Pagano, A., Pluchinotta, I., Giordano, R., Vurro, M.: Drinking water supply in resilient cities: notes from L’aquila earthquake case study. Sustain. Cities Soc. 28, 435–449 (2017). https://doi.org/10.1016/j.scs.2016.09.005
Wu, D., Shuang, N.: Dynamic assessment of urban economy-environment-energy system using system dynamics model: a case study in Bejing. Environ. Res. 164, 70–84 (2018). https://doi.org/10.1016/j.envres.2018.01.029
Tan, Y., Jiao, L., Shuai, C., Shen, L.: A system dynamics model for simulating urban sustainability performance: a China case study. J. Clean. Prod. 199, 1107–1115 (2018). https://doi.org/10.1016/j.jclepro.2018.07.154
Holling, C.S.: Resilience and stability of ecological systems. Ann. Rev. Ecol. Syst. 4, 1–23 (1973). https://doi.org/10.1146/annurev.es.04.110173.000245
Holling, C.S.: Engineering resilience versus ecological resilience. Schulze, P. (ed.) Engineering within Ecological Constraints, Washington, DC, USA. The National Academies Press (1996)
Sharifi, A., Yamagata, Y.: Principles and criteria for assessing urban energy resilience: a literature review. Renew. Sustain. Energy Rev. 60, 1654–1677 (2016). https://doi.org/10.1016/j.rser.2016.03.028
Sharifi, A.: A critical review of selected tools for assessing community resilience. Ecol. Indic. 69, 629–647 (2016). https://doi.org/10.1016/j.ecolind.2016.05.023
Sharifi, A., Yamagata, Y.: Urban resilience assessment: multiple dimensions, criteria, and indicators. In: Yamagata, Y., Maruyama, H. (eds.) Urban Resilience. ASTSA, pp. 259–276. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39812-9_13
Suarez, M., Gomez-Baggethum, E., Benayas, J., Tilbury, D.: Toward an urban resilience index: a case study in 50 Spanish cities. Sustainability 8, 774 (2016). https://doi.org/10.3390/su8080774
Sellberg, M., Wilkinson, M.C., Peterson, G.D.: Resilience assessment: a useful approach to navigate urban sustainability challenges. Ecol. Soc. 20(1), 43 (2015). http://dx.doi.org/10.5751/ES-07258-200143
Cutter, S.L., Ash, K.D., Emrich, C.T.: The geographies of community disasterresilience. Glob. Environ. Chang 29, 65–77 (2014). https://doi.org/10.1016/j.gloenvcha.2014.08.005
Lazaveric, E., Kekivic, Z., Antonic, B.: In search of the principles of resilient urban design: implentability of the principles in the case of the city in Serbia. Energy Build. 158, 1130–1138 (2018). https://doi.org/10.1016/j.enbuild.2017.11.005
Wilkinson, C.: Social-ecological resilience: insights and issues for planning theory. Plan. Theory 11(2), 148–169 (2012). https://doi.org/10.1177/1473095211426274
Figueiredo, L., Honiden, T., Schumann, A.: Indicators for Resilient Cities, OECD Regional Development Working Papers, 2018/02. OECD Publishing, Paris (2018). http://dx.doi.org/10.1787/6f1f6065-en
Yao, H., Shen, L., Tan, Y., Hao, J.: Simulating the impacts of policy scenarios on the sustainability performance of infrastructure projects. Autom. Constr. 20(8), 1060–1069 (2011). https://doi.org/10.1016/j.autcon.2011.04.007
Neuwirth, C., Peck, A., Simonovic, S.P.: Modeling structural change in spatial system dynamics: a Daisyworld example. Environ. Model. Softw. 65, 30–40 (2015). http://dx.doi.org/10.1016/j.envsoft.2014.11.026
Chen, M.C., Ho, T.P., Jan, C.G.: A system dynamics model of sustainable urban development: assessing air purification policies at Taipei City. Asian Pac. Plan. Rev. 4(1), 29–52 (2006)
Zhang, X., Wu, Y., Shen, L., Skitmore, M.: A prototype system dynamic model for assessing the sustainability of construction projects. Int. J. Proj. Manag. 32(1), 66–76 (2014)
Vennix, J.A.M.: Group model-building: tackling messy problems. Syst. Dyn. Rev. 15(4), 379–401 (1996). https://doi.org/10.1016/j.ijproman.2013.01.009
Forrester, J.W.: Industrial Dynamics. The MIT Press, Cambridge (1961)
Forrester, J.W.: Principles of Systems. Productivity, Portland (1968)
Forrester, J.W.: Lessons from system dynamics modelling. Syst. Dyn. Rev. 3(2) (1961)
Thompson, B.P., Bank, L.C.: Use of system dynamics as a decision-making tool in building design and operation. Build. Environ. 45(4), 1006–1015 (2010). https://doi.org/10.1016/j.buildenv.2009.10.008
Bala, B.K., Arshad, F.M., Noh, K.M.: System Dynamics: Modelling and Simulation. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-2045-2
Kunc, M., Mortenson, M.J., Vidgen, R.: A computational literature review of the field of System Dynamics from 1974 to 2017. J. Simul. 12(2), 115–127 (2018). https://doi.org/10.1080/17477778.2018.1468950
Egilmez, G., Tatari, O.: A dynamic modeling approach to highway sustainability: strategies to reduce overall impact. Transp. Res. Pol. Pract. 46(7), 1086–1096 (2012). https://doi.org/10.1016/j.tra.2012.04.011
Shepherd, S.P.: A review of system dynamics models applied in transportation. Transp. B.: Transp. Dyn. 2(2), 83–105 (2014). https://doi.org/10.1080/21680566.2014.916236
Yu, C.H., Chen, C.H., Lin, C.F., Liaw, S.L.: Development of a system dynamics model for sustainable land use management. J. Chin. Inst. Eng. 26(5), 607–618 (2003). https://doi.org/10.1016/j.habitatint.2008.02.004
Shen, Q., Chen, Q., Tang, B.S., Yeung, S., Hu, Y., Cheung, G.: A system dynamics model for the sustainable land use planning and development. Habitat Int. 33(1), 15–25 (2009). https://doi.org/10.1016/j.habitatint.2008.02.004
Yuan, H., Chini, A.R., Lu, Y., Shen, L.: A dynamic model for assessing the effects of management strategies on the reduction of construction and demolition waste. Waste Manag 32(3), 521–531 (2012). https://doi.org/10.1016/j.wasman.2011.11.006
Güneralp, B., Seto, K.C.: Environmental impacts of urban growth from an integrated dynamic perspective: a case study of Shenzhen. South China. Global Environ. Change 18(4), 720–735 (2008). https://doi.org/10.1016/j.gloenvcha.2008.07.004
Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)
Manetsch, T.J., Park, G.L.: Systems analysis and simulation with applications to economic and social systems. Department of Electrical Engineering and System Science, Michigan State University, USA (1982)
Bottero, M.C., Caprioli, C., Berta, M.: Urban problems and patterns of change: the analysis of a downgraded industrial area in Turin. In: Mondini, G., Oppio, A., Stanghellini, S., Bottero, M., Abastante, F. (eds.) Values and Functions for Future Cities. Green Energy and Technology (2019, in press)
Cutter, S.L., Burton, C.G., Emrich, C.T.: Disaster resilience indicators for benchmarking baseline conditions. J. Homel. Secur. Emerg. Manag. 7–14 (2010). https://doi.org/10.2202/1547-7355.1732
Meerow, S., Newell, J.P.: Urban resilience for whom, what, when, where, and why? Urban Geogr. (2016). https://doi.org/10.1080/02723638.2016.1206395
Bottero, M., Datola, G., Monaco, R.: Exploring the resilience of urban systems using fuzzy cognitive maps. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10406, pp. 338–353. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62398-6_24
Bottero, M., Datola, G., Monaco, R.: The use of fuzzy cognitive maps for evaluating the reuse project of military barracks in Northern Italy. In: Calabrò, F., Della Spina, L., Bevilacqua, C. (eds.) ISHT 2018. SIST, vol. 100, pp. 691–699. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-92099-3_77
Ozemi, U., Ozemi, S.L.: Ecological models based on people knowledge: a multy – step fuzzy cognitive mapping approach. Ecol. Model. 176, 55 (2004). https://doi.org/10.1016/j.ecolmodel.2003.10.027
Batty, M.: Resilient cities, networks, and distruption: editorial. Environ. Plan. B: Urban Anal. City Sci. 40(4), 571–573 (2013). https://doi.org/10.1068/b4004ed
D’Alpaos, C.: Methodological approaches to the valuation of investments in biogas production plants: Incentives vs. market prices in Italy. Valori e Valutazioni 19, 53–64 (2017)
Canesi, R., D’Alpaos, C., Marella, G.: Forced sale values vs. market values in Italy. J. R. Estate Lit. 24(2), 377–401 (2016)
D’Alpaos, C., Bragolusi, P.: Buildings energy retrofit valuation approaches: state of the art and future perspectives. Valori e Valutazioni 20, 79–94 (2018)
Bertolini, M., D’Alpaos, C., Moretto, M.: Do Smart Grids boost investments in domestic PV plants? Evid. Ital. Electr. Mark. Energy 149, 890–902 (2018)
Bottero, M., Mondini, G., Datola, G. Decision-making tools for urban regeneration processes: from stakeholders analysis to stated preference methods. Tema. J. Land Use Mob. Environ. 10(2), 193–212 (2017). http://dx.doi.org/10.6092/1970-9870/5163
Norris, F.H., Stevens, S.P., Pfefferbaum, B., Wyche, K.F., Pfefferbaum, R.L.: Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. Am. J. Commun. Psychol. 41(1–2), 127–150 (2008). https://doi.org/10.1007/s10464-007-9156-6
Peyroux, E.: Discourse of urban resilience and “inclusive development” in the Joannesburg Growth and Development Strategy 2040. Eur. J. Dev. Res. 27(4), 560–573 (2015). https://doi.org/10.1057/ejdr.2015.52
Fastenrath, S., Coenen, L., Davidson, K.: Urban resilience in action: the resilient Melbourne strategy as transformative urban innovation policy? Sustainability 11, 693–703 (2019). https://doi.org/10.3390/su11030693
Brunetta, G., Salizzoni, E., Bottero, M., Monaco, R., Assumma, V.: Measuring Resilience fot territorial enhancement: an experimentation in Trentino. Journal Valori e Valutazioni 20, 69–78 (2018)
Becchio, C., Bottero, M.C., Corgnati, S.P., Dell’Anna, F.: Decision making for sustainable urban energy planning: an integrated evaluation framework of alternative solutions for a NZED (Net Zero-Energy District) in Turin. Land Use Policy 78, 803–817 (2018)
Acknowledgment
Part of the work illustrated in the present paper has been developed in the research project titled VALIUM (Valuation for Integrated Urban Management) that has been supported from the Department of Regional and Urban Studies and Planning - DIST of the Politecnico di Torino (I call 2017).
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Datola, G., Bottero, M., De Angelis, E. (2019). How Urban Resilience Can Change Cities: A System Dynamics Model Approach. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11622. Springer, Cham. https://doi.org/10.1007/978-3-030-24305-0_9
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