Limonta - Input2012

Representation and analysis of retail phenomena to support Representation and analysis of retail phenomena to support urban planning policies. urban planning policies. Some applications of the Kernel Density Estimation method in the Milan area

Laboratorio URB&COMUrbanistica e CommercioDiAP - Politecnico di Milano

Giorgio LimontaLaboratorio URB&COM – Politecnico di MilanoUrbanism and Retail Management Research Group

mail: [email protected]: +393384635443

Retail planning and urban planning;

Representation of the retail phenomenon;

The Kernel Density Estimation (KDE);

Phases of the analysis’ process;

Analysis and general urban plan

Conclusion

Summary

Representation and analysis of retail phenomena to support urban planning policiesSome applications of the Kernel Density Estimation method in the Milan areaSession: Spatial Data Analysis

Laboratorio URB&COM DiAP - Politecnico di MilanoGiorgio Limonta

National deregulation (principal acts):- Legislative Decree no. 114/1998 (liberalization of the retail businnes);- Legislative Decree no. 59/2010 (implementation of the European Directive ‘Bolkestein’);

Led retail planning policies into a gradual transition from a “quantitative need” to a “qualitative need”;

Led the management of retailing structure’ allocation within urban planning policies (especially at the municipal level);

Retail planning and urban planning



Highly accurate mapping method:To reconstruct the complexity of the uses at the buildings’ ground floor. Not only the retail store

but all type of situations that one can find at the ground level (food and beverage stores, offices, abandoned and vacant stores,…);

Representation of the retail phenomenon



Two different features for define the shape of the retail business:- Point, to represent the main entrance of the store;- Line, to represent the extension of the shop window;

Identify the shopping potential of local contexts and not just the geography of commercial density

- The geometry of the inputfrom point to linelinear extension of windows high densities large glass front

- Choice of bandwidthvarious (adaptive)depending which urban space are usedperception by a users passing

The Kernel Density Estimation (KDE)



Phases of the analysis’ processRetail and services Clustering Area (RCAs)



Phase of the analysis:1. Identify different clustering value of retail

and services businesses; 2. Identification of Potential RCAs with

least 3 stores;3. “Shopping relevance value” of RCAs;

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2 3

Analysis and General Urban Plan



Piano di Governo del Territorio (General Urban Plan)

Documento di Piano (Strategic plan)Identify strengths and weakness of the RCAs define the strategic guidelines for development the urban sales activities;

Piano delle Regole (Regulation plan)The KDE’ result was a basic references areas for identify specific prescription zones (differentiate the dimension for the new medium size store);

Piano dei Servizi (Services Plan)Value the “shopping effect” of the different part of the city able to qualify in terms of sociability and livability define public strategies for retail and services;

Analysis and General Urban Plan



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3 4

Conclusions



• It’s necessary to define some methodologies for representation and analysis the retail and services dynamics for best interact with the General Urban Plan;

• KDE method could be a good tool for the analysis and the interpretation of the retail phenomena (well-know method, implemented in some GIS software);

• Could be a good way to support the public retail strategies: helpful to define and describe the RCAs; give an objective evaluation of the retail and services densities (compromise between subjective depiction and geo-statistical analysis);

• Make the interpretation objective and transparent: easy to explain the input variables choice (bandwidth);

• Could be also used to define the perimeters of the retail planning and regulation zones within the General Urban Plan (strictly connected to the mapping detail of the input);

Limonta - Input2012

Technology

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