Territorial vulnerability and local conflicts perspectives for waste disposals siting. A case study in Lombardy region (Italy)

Journal of Cleaner Production

Volumn 141, Issue , 2017, Pages 1528-1538

  Oppio, Alessandra ^a   Corsi, Stefano ^b  

^a POLITECNICO DI MILANO   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

Decision making process; JustNN software; Local conflicts; Territorial vulnerability; Waste disposals

Indexed keywords

DECISION MAKING; ECONOMICS; ENVIRONMENTAL TECHNOLOGY; NETWORK SECURITY; NEURAL NETWORKS;

DECISION MAKING PROCESS; ENERGY TECHNOLOGIES; ENVIRONMENTAL QUALITY; ENVIRONMENTAL RESOURCES; LOCAL CONFLICTS; SUPERVISED ARTIFICIAL NEURAL NETWORKS; TERRITORIAL VULNERABILITY; TRANSPORT INFRASTRUCTURE;

WASTE DISPOSAL;

EID: 84994543848     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.09.203     Document Type: Article

References (38)

1. Al-Mahallawi, K., Mania, J., Hani, A., Shahrour, I., Using of Neural Networks for the Prediction of Nitrate Groundwater Contamination in Rural and Agricultural Areas, vol. 65, 2012, 917–928 Issue 3.
2. Aris, Gli Impianti Contestati. 2012 Retrieved on19/03/2014 from: http://www.nimbyforum.it/.
3. Buffoli, M., Capolongo, S., Loconte, V., Signorelli, C., Thermovalorization: new technologies, impacts and mitigation strategies. Ann. Ig. 24:2 (2012), 167–178 Italian. PubMed PMID: 22755503.
4. Capolongo, S., Battistella, A., Buffoli, M., Oppio, A., Healthy design for sustainable communities. Ann. Ig. 23:1 (2011), 43–53 Italian. PubMed PMID: 21736006.
5. Corsi, S., Infrastrutture viarie e agricoltura. Per Un'altra Campagna, 2009, Maggioli, Milano, 51–59.
6. Corsi, S., Oppio, A., Dendena, B., ESIA (Environmental and Social Impact Assessment). Chem. Eng. Trans. 43 (2015), 2215–2220.
7. Dai, E., Wu, S., Shi, W., Cheung, C., Shaker, A., Modeling change-pattern-value dynamics on land use: an integrated GIS and artificial neural networks approach. Environ. Manag. 36:4 (2005), 576–591.
8. Dendena, B., Corsi, S., The Environmental and Social Impact Assessment: a further step towards an integrated assessment process. J. Clean. Prod. 108 (2015), 965–977.
9. Elıas, A., Ibarra-Berastegi, G., Arias, R., Barona, A., Neural networks as a tool for control and management of a biological reactor for treating hydrogen sulphide. Bioprocess Biosyst. Eng. 229 (2006), 129–136.
10. Erat, S., Krishnan, V., Managing delegated search over design spaces. Manag. Sci. 58:3 (2012), 606–623.
11. Fang, C., Organizational learning as credit assignment: a model and two experiments. Organ. Sci. 23:6 (2012), 1717–1732.
12. Fehr, R., Capolongo, S., Healing environment and urban health. Epidemiol. Prev. 40:3-4 (2016), 151–152, 10.19191/EP16.3-4.P151.080.
13. Huang, R.S., Nedelcu, E., Bai, Y., Wahed, A., Klein, K., Tint, H., Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network. Ann. Clin. Lab. Sci. 2015:45 (2015), 181–186.
14. Kantardzic, M., Data Mining: Concepts, Models, Methods, and Algorithms. 2011, John Wiley & Sons.
15. Li, X., Gar-On, Y.E.H.A., Neural-network based cellular automata for simulating multiple land use changes using GIS. Int. J. Geogr. Inf. Sci. 16:4 (2002), 323–343.
16. Mazzocchi, C., Corsi, S., Sali, G., Agricultural land consumption in periurban areas: a methodological approach for risk assessment using artificial neural networks and spatial correlation in northern Italy. Appl. Spat. Anal., 2015, 10.1007/s12061-015-9168-9.
17. Minsky, M., Steps toward artificial intelligence. Proced. Of the IRE49.1, 1961, 8–30.
18. Oppio, A., Corsi, S., Tosini, A., Mattia, S., Exploring the Relationship among local conflicts and territorial vulnerability: the case study of Lombardy Region. Land Use Policy 43 (2015), 239–247.
19. Pijanowski, B.C., Brown, D.G., Shellito, B.A., Manik, G.A., Using neural networks and GIS to forecast land use changes: a land transformation model. Comput. Environ. Urban Syst. 26 (2002), 553–575.
20. Rojas, R., Neural Networks. 1996, Springer-Verlag, Berlin.
21. Rumelhart, D.E., Hinton, G.E., Williams, R.J., Learning representations by back-propagating errors. Nature 323 (1986), 533–536.
22. Schively, C., Understanding the NIMBY and LULU phenomena: reassessing our knowledge base and informing future research. J. Plan. Lit. 21:3 (2007), 255–266.
23. Snider, J., Lee, D., Poizner, H., Gepshtein, S., Prospective optimization with limited resources. PLoS Comput. Biol. 11:9 (2015), 28–36.
24. Toro, J., Duarte, O., Requena, I., Zamorano, M., Determining vulnerability importance in environmental impact assessment. The case of Colombia. Environ. Impact Assess. Rev. 32 (2011), 107–117.
25. Torre, A., Melot, R., Magsi, H., Bossuet, L., Cadoret, A., Caron, A., Darly, S., Jeanneaux, P., Kirat, T., Vu Pham, H., Kolokouris, O., Identifying and measuring land-use and proximity conflicts: methods and identification. SpringerPlus 3:85 (2014), 1–26.
26. Wang, F., The use of artificial neural networks in a geographical information systems for agricultural land suitability assessment. Environ. Plan. 26 (1994), 265–284.
27. Wittmer, H., Rauschmayer, F., Klauer, B., How to select instruments for the resolution of environmental conflicts?. Land Use Policy 23 (2006), 1–9.
28. Yang, D., Kao, W.T.M., Huang, N., Wang, R., Zhang, X., Zhou, W., Process-based environmental communication and conflict mitigation during sudden pollution accidents. J. Clean. Prod. 66:1 (2014), 1–9.
29. Zhou, J., Civco, D., Using genetic learning neural networks for spatial decision making, GIS. Photogramm. Eng. Remote Sens. 62 (1996), 1287–1295.
30. ARPA Lombardia, 2011, Retrieved 13/11/2014 from: http://www2.arpalombardia.it/siti/arpalombardia/meteo/richiesta-dati-misurati/Pagine/RichiestaDatiMisurati.aspx.
31. CRPA, Biogas: Il settore è strutturato e continua a crescere. 2013, L'informatore Agrario 2013 Retrieved 30/04/2014 from: http://crpalab.crpa.it/media/documents/crpa_www/Settori/Ambiente/Download/Archivio_2013/IA_suppl11_2013_p11.pdf.
32. ISTAT, Labor Force Survey. 2012 Retrieved 05/11/2014 from: http://dati.istat.it/.
33. ISTAT, Population Census. 2001 Retrieved 05/11/2014 from: http://dati.istat.it/.
34. ISTAT, Population Survey. 2013 Retrieved 05/11/2014 from: http://dati.istat.it/.
35. Nimby Forum, Gli Impianti Contestati. 2012 Retrieved 19/03/2014 from: http://www.nimbyforum.it/.
36. RDP, Rural Development Programme 2007-2013 for Region Lombardia (Italy) – CCI N° 2007IT06RPO007. 2007 Retrieved 13/11/2014 from: www.reterurale.it.
37. Lombardia, Regione, Rapporto Sulle Infrastrutture. 2008 Retrieved 10/03/2014 from: http://www.ors.Regione.lombardia.it/resources/pagina/N11e3b0be4ff4cb18119/N11e3b0be4ff4cb18119/Rapporto_sulle_infrastrutture.pdf.
38. http://www.cartografia.regione.lombardia.it/rlregisdownload/.