Abstract
Composite indicators have been analyzed by several scholars, especially with the aim of defining standardization and aggregation rules consistent to the multidimensional theoretical framework underlying these kind of measures and adequate to the difficulty of comparing data of different nature. Starting from a broadly shared methodology, set up by OECD in 2008, the paper proposes a Composite Indicator of Territorial Vulnerability based on environmental, social and economic criteria. A special attention has been paid to the methodological approach more than to the results, with a focus on uncertainty and sensitivity analysis. The latter one has been developed by the use of the SimLab (http://ipsc.jrc.ec.europa.eu), which has allowed to estimate the probability distribution function of the composite indicator and to point out the field of variation of its variables. Lombardy Region has been selected as a pilot case study since it is one of the Italian regions with the highest infrastructural development. The results show that the Composite Indicator of Territorial Vulnerability applied to municipalities in the Lombardy Region has a limited variation range, and thus low uncertainty. Furthermore, the synthetic measure of territorial vulnerability seems to be a promising decision aid tool in the field of regional infrastructural development policies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bradley M, Smith E (2004) Using science to assess environmental vulnerabilities. Environ Monit Assess 94:1–7
Corsi S (2009) Infrastrutture viarie e agricoltura. In: Agostini S, Bertoni D (eds) Per un’altra campagna. Milano, Maggioli, pp 51–59
Cutter S, Mitchell JT, Scott MS (2000) Revealing the vulnerability of people and places: a case study of Georgetown County South Carolina. Ann Assoc Am Geographers 90(4):713–737
Cutter S, Boruff B, Shirley W (2003) Social vulnerability to environmental hazards. Soc Sci Quart 84:242–261
Cutter SL, Emrich CT, Webb JJ, Morath D (2009) Social vulnerability to climate variability hazards: a review of the literature. Final Report to Oxfam America, Hazards and Vulnerability Research Institute, Department of Geography, University of South Carolina, pp 1–44
Del Giudice V, Torrieri F, De Paola P (2014) Risk analysis within feasibility studies: an application to cost-benefit analysis for the construction of a new road. Appl Mech Mater 651–653:1249–1254
Freudenberg M (2008) Composite indicators of country performance: a critical assessment. OECD, Paris
Gall M (2007) Indices of social vulnerability to natural hazards: a comparative evaluation. Doctoral Dissertation, University of South Carolina, Department of Geography, Columbia, SC
Golobič M, Breskvar Žaucery L (2010) Landscape planning and vulnerability assess-ment in the Mediterranean. Final report. Regional Activity Centre for the Priority Actions Programme
Granger K, Hayne M (eds) (2001) Natural hazards and the risks they pose to Southeast Queensland, Australian Geological Survey Organisation, Commonwealth of Australia
Kasperson RE, Kasperson JX, Dow K (2001) Vulnerability, equity, and global environmental change. In: Kasperson JX, Kasperson RE (eds) Global environmental risk, United Nations University Press and Earthscan, Tokyo, pp 247–272
Mazzocchi C, Sali G, Corsi S (2013) Land use conversion in metropolitan areas and the permanence of agriculture: sensitivity index of agricultural land (SIAL), a tool for territorial analysis. Land Use Policy 35:155–162
Menoni S, Molinari D, Parker D, Ballio F, Tapsell S (2012) Assessing multifaceted vulnerability and resilience in order to de-sign risk-mitigation strategies. Nat Hazards 64:2057–2082
Millenium Ecosystem Assessment (2005) Ecosystem and human wellbeing, Synthesis, Retrieved 10 Mar 2014 from http://www.millenniumassessment.org/documents/document.356.aspx.pdf
Munda G (2010) Social multi-criteria evaluation for a sustainable economy. Springer, Berlin
Nardo M, Saisanna M, Saltelli A, Tarantola S, Hoffman A, Giovannini E (2005) Handbook on constructing composite indicators: methodology and user guide. OECD statistic working paper. www.olis.oecd.org/2005doc.nsf/LinkTo/std-doc
OECD (2008) Handbook on constructing composite indicators. JRC European Commission
Oppio A, Corsi S (2017) Territorial vulnerability and local conflicts perspectives for waste disposals siting. A case study in Lombardy region (Italy). J Cleaner Prod 1528–1538. Doi:10.1016/j.jclepro.2016.09.203
Oppio A, Corsi S, Mattia S, Tosini A (2015) Exploring the relationship among local conflicts and territorial vulnerability: the case study of Lombardy Region. Land Use Policy 43:239–247
Oppio A, Buffoli M, Dell’Ovo M, Capolongo S (2016) Addressing decisions about new hospitals’ siting: a multidimensional evaluation approach. Ann Ist Super Sanità 52(1): 78–87
Saisana M, Saltelli A, Tarantola S (2005) Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. J R Statist Soc 168(Part 2):307–323
Saltelli A (2006) Composite Indicators between analysis and advocacy. Soc Indic Res. Doi:10.1007/s11205-006-0024-9
Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, Saisana M, Tarantola S (2008) Global sensitivity analysis: the primer. Wiley, New York
Tarantola S, Pastorelli R, Beghi MG, Bottani CE (2000) A data less pre-calibration analysis in solid state physics. In: Saltelli A, Chan K, Scott M (eds) Sensitivity analysis. Wiley, New York, pp 311–327
Tavares AO, Santos PPD (2014) Re-scaling risk governance using local appraisal and community involvement. J Risk Res 17(7):923–949. Doi:10.1080/13669877.2013.822915
Tavares AO, dos Santos PP, Paula Freirec P, Bustorff Fortu-nato A, Rilo A, Sá L (2015) Flooding hazard in the Tagus estuarine area: the challenge of scale in vulnerability assessments. Environ Sci Policy 51:238–255. Doi:10.1016/j.envsci.2015.04.010
Toro J, Duarte O, Requena I, Zamorano M (2011) Determining vulnerability importance in environmental impact assessment. The case of Colombia. Environ Impact Assess Rev 32:107–117
Torre A, Melot R, Magsi H, Bossuet L, Caron A, Darly S, Jeanneaux P, Kirat T, Pham HV (2014) Identifying and measuring land-use and proximity conflicts: methods and identification. SpringerPlus 3(1), doi:10.1186/2193-1801-3-85
Tran L, O’Neill R, Smith E (2010) Spatial pattern of environ-mental vulnerability assessment in the Mid-Atlantic region, USA. Appl Geogr 30:191–202
UNISDR (2012) Making cities resilient report 2012. My city is getting ready! A global snapshot of how local governments reduce disaster risk, 2nd edn. United Nations Office for Disaster Risk Reduction
Website References
Acknowledgement
The authors thank Andrea Biancardi for having supported the sensitivity and uncertainty analysis by the use of SimLab and Stata 13.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Oppio, A., Corsi, S., Torrieri, F., Mattia, S. (2017). Infrastructure Development and Territorial Vulnerability. The Role of Composite Indicators for Addressing Siting Decisions. In: Stanghellini, S., Morano, P., Bottero, M., Oppio, A. (eds) Appraisal: From Theory to Practice. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-49676-4_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-49676-4_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49675-7
Online ISBN: 978-3-319-49676-4
eBook Packages: EnergyEnergy (R0)