A GIS Approach to Supporting Nightlife Impact Management: The Case of Milan

  • Giorgio Limonta Laboratorio URB&COM, Politecnico di Milano, (DAStU)
Keywords: Retail planning, Protection Zones, GIS, KDE, Monitoring, ICT

Abstract

Following the increasing liberalisation of commercial activities, which have taken place in the last few decades, the power of municipal authorities to schedule retail and leisure-based businesses has been reduced in its spatial extent; it now applies only to specific ‘Protection Zones’ (Zone da sottoporre a tutela). In these areas, due to environmental, social and/or traffic sustainability reasons, the freedom of private business is limited by the need to respect the right of residents to normal liveability and mobility standards. This paper describes a research by Laboratorio URB&COM (Politecnico di Milano), aimed at supporting the City of Milan in detecting those spatial contexts whose conditions suggest the application of a specific regulation, in order to control nightlife leisure’s negative externalities. A GIS-based analysis approach has proved fundamental in defining an objective and transparent evaluation path, towards the mapping of critical areas where regulation is needed.  In addition, within the proposal of policy monitoring methods, a particular approach has been suggested, based entirely on the use of Information and Communication Technology (ICT).

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Author Biography

Giorgio Limonta, Laboratorio URB&COM, Politecnico di Milano, (DAStU)

Urban planner and a member of Laboratorio URB&COM a research group of Politecnico di Milano’s Department of Architecture and Urban Studies (DAStU). He contributes to the unit’s research and consulting activities, specifically focusing on the geographic analysis and representation of retailing phenomena through GIS software.

References

Adolphson, M. (2010), “Kernel densities and mixed functionality in a multicentred urban region”, Environment and Planning B: Planning and Design, 37.

Borruso, G. (2004), “Network density and the delimitation of urban areas”, Transactions in GIS, 7.

Borruso, G. (2005), “Network Density Estimation: Analysis of Point Patterns over a Network”, in Gervasi, O. (cur.), Computational Science And Its Applications - Iccsa 2005 (Part III), Springer-Verlag Berlin Heidelberg.

Brunsdon, C. (1995), “Estimating probability surfaces for geographical point data: An adaptive kernel algorithm”, Computers and Geosciences, 21.

Dai, D., et al. (2010), “The impact of built environment on pedestrian crashes and the identification of crash clusters on an urban university campus”, Western Journal of Emergency Medicine, 11.

D'Hondt, E., et al. (2012), “Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring”, Pervasive and Mobile Computing, doi:10.1016/j.pmcj.2012.09.002.

London 21. Mapping Change for Sustainable Communities project, London, UK. Information available at http://www.london21.org/page/79/project/show/mcsc (retrieved Februari 20th, 2010).

Maisonneuve, N., et al. (2009), “NoiseTube: Measuring and mapping noise pollution with mobile phones", in Athanasiadis I.N., Information Technologies in Environmental Engineering.

Okabe, A., Satoh, T., Sugihara, K. (2009), “A kernel density estimation method for networks, its computational method and a GIS-based tool”, International Journal of Geographical Information Science, 23.

Okabe, A, Okunuki, K, Shiode, S. (2006), “SANET: A toolbox for spatial analysis on a network”, Geographical Analysis, 38.

Porta, S., et al (2007), “Correlating densities of centrality and activities in cities: the cases of Bologna (IT) and Barcelona (ES)”, in Planning, Complexity and New ICT, Alinea Editrice, Firenze.

Tamini, L. (2011), Il progetto di centralità. La regolazione urbanistica degli aggregati commerciali, Rimini, Maggioli.

Yamada, I., Thill, J-C. (2004), “Comparison of planar and network K-function in traffic accident analysis”, Journal of Transport Geography, 12, pp 149-158.

Published
2014-05-14
How to Cite
Limonta, G. (2014). A GIS Approach to Supporting Nightlife Impact Management: The Case of Milan. TeMA - Journal of Land Use, Mobility and Environment. https://doi.org/10.6092/1970-9870/2491