<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Warehouses are a fundamental element for the supply chain and, consequentially, provide resources for people to perform their daily tasks. Their location determines the type of goods movements that will be performed in the city area. Knowing their location is essential to define public policies applied to urban freight transport, city livability and economic development. In the search to make a better diagnosis of its area, the Belo Horizonte City Hall developed the urban quality-of-life index (UQLI) and the local supply index (LSI). This article used linear regression to identify the correlation amongst the UQLI, the LSI and the location of the logistics warehouses in urban areas. The best model obtained from the econometric analysis is the one that correlates warehouses with supermarkets, bookstores and stationery, residential area, quality of the house, bank and gas station. The results obtained were confirmed with spatial analysis. This result allows concluding that the warehouses are influenced by the favourable zoning, low land cost, proximity of regional and main streets of the city and high population and retailer density.</p></abstract>

Warehouses are a fundamental element for the supply chain and, consequentially, provide resources for people to perform their daily tasks. Their location determines the type of goods movements that will be performed in the city area. Knowing their location is essential to define public policies applied to urban freight transport, city livability and economic development. In the search to make a better diagnosis of its area, the Belo Horizonte City Hall developed the urban quality-of-life index (UQLI) and the local supply index (LSI). This article used linear regression to identify the correlation amongst the UQLI, the LSI and the location of the logistics warehouses in urban areas. The best model obtained from the econometric analysis is the one that correlates warehouses with supermarkets, bookstores and stationery, residential area, quality of the house, bank and gas station. The results obtained were confirmed with spatial analysis. This result allows concluding that the warehouses are influenced by the favourable zoning, low land cost, proximity of regional and main streets of the city and high population and retailer density.

How to explain the location of logistics warehouses from the urban quality-of-life index and the local supply index?

WSB Journal of Business and Finance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Warehouses are a fundamental element for the supply chain and, consequentially, provide resources for people to perform their daily tasks. Their location...

How to explain the location of logistics warehouses from the urban quality-of-life index and the local supply index?

Publié en ligne: 13 déc. 2019

Pages: 15 - 21

DOI: https://doi.org/10.2478/wsbjbf-2019-0018

Mots clés
Urban freight transport, Warehouse, location, linear regression, heat map, spatial analysis

© 2019 Leise Kelli de Oliveira et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

How to explain the location of logistics warehouses from the urban quality-of-life index and the local supply index?

Publié en ligne: 13 déc. 2019

Pages: 15 - 21

DOI: https://doi.org/10.2478/wsbjbf-2019-0018

Mots clésUrban freight transport, Warehouse, location, linear regression, heat map, spatial analysis

© 2019 Leise Kelli de Oliveira et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Urban freight transport, Warehouse, location, linear regression, heat map, spatial analysis