Employment sub-centers of a megacity in a developing country: the case of the Municipality of São Paulo, Brazil

Abstract

Theoretical models concerned with multiple centers were brought into the debate on sprawling urban employment. However, empirical methods that identify central places are not a specific aspect in the specialized literature. Then, the purpose of this paper is to identify and characterize the urban employment subcenters (Small Business Districts, SBD) in the Municipality of São Paulo by using a new methodology approach. We propose a two-step methodology: 1) Exploratory Spatial Data Analysis and 2) Spatial Hedonic Prices Model. As a result, we found seven regions that can be considered SBD. These regions are able to impact housing prices as predicted by polycentric theoretical models.

Comprehensive strength evaluation system of commercial centres based on multi-source data: a case of Hefei central city

“…With the application of big data in urban and rural planning, some scholars have begun using big data such as POI (Point of Interest) 9 and night-time light data 10 to identify urban spatial structure 11 and explore the connection among urban centres 12 , moreover, some scholars have used big data to further refine the functions of urban centres and study the spatial distribution of employment and commercial centres from the city level 13 , 14 . POI data have been used to analyse the spatial structure and clustering characteristics of urban commercial centres 15 , 16 , and further analyse their spatial and temporal evolution characteristics 17 .…”