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作者

Arianna Salazar Miranda

来源

CITIES,Vol.106,Issue1,Article 102852

语言

英文

关键字

Urban form;Segregation;Machine learning;Built environment;Urban design

作者单位

Urban Studies and Planning Department, Massachusetts Institute of Technology, United States of America;Urban Studies and Planning Department, Massachusetts Institute of Technology, United States of America

摘要

The built environment can mediate or constrain the opportunities for social interaction, essential to the formation of social ties. This study uses the large inflow of immigrants in Barcelona between 1998 and 2008 to study whether the configuration of buildings and open urban areas in a block is associated with the residential segregation of immigrants—a proxy for social interaction. Based on a rich set of shape metrics, I use machine learning techniques to classify each block in Barcelona into one of eight typologies, which provide a summary measure of their built environment. I then combine these data with measures of residential segregation constructed at the building level using data on the exact address of each resident of Barcelona. The findings show that some features of the built environment of a block—as measured by the typologies—are systematically associated with reduced residential segregation of Spaniards and newly arrived immigrants in that block.