TY - JOUR
T1 - Using mobility data as proxy for measuring urban vitality
AU - Sulis, Patrizia
AU - Manley, Ed
AU - Zhong, Chen
AU - Batty, Michael
PY - 2018
Y1 - 2018
N2 - In this paper, we propose a computational approach to Jane Jacobs’ concept of diversity and vitality, analyzing new forms of spatial data to obtain quantitative measure- ments of urban qualities frequently employed to evaluate places. We use smart card data collected from public transport to calculate a diversity value for each research unit. Diver- sity is composed of three dynamic attributes: intensity, variability and consistency, each measuring different temporal variations of mobility flows. We then apply a regression model to establish the relationship between diversity and vitality, using Twitter data as a proxy for human activity in urban space. Final results (also validated using data sourced from OpenStreetMap) unveil which are the most vibrant areas in London.
AB - In this paper, we propose a computational approach to Jane Jacobs’ concept of diversity and vitality, analyzing new forms of spatial data to obtain quantitative measure- ments of urban qualities frequently employed to evaluate places. We use smart card data collected from public transport to calculate a diversity value for each research unit. Diver- sity is composed of three dynamic attributes: intensity, variability and consistency, each measuring different temporal variations of mobility flows. We then apply a regression model to establish the relationship between diversity and vitality, using Twitter data as a proxy for human activity in urban space. Final results (also validated using data sourced from OpenStreetMap) unveil which are the most vibrant areas in London.
U2 - 10.5311/JOSIS.2018.16.384
DO - 10.5311/JOSIS.2018.16.384
M3 - Article
VL - 16
SP - 137
EP - 162
JO - JOURNAL OF SPATIAL INFORMATION SCIENCE
JF - JOURNAL OF SPATIAL INFORMATION SCIENCE
ER -