TY - GEN
T1 - Quantifying Life Quality as Walkability on Urban Networks
T2 - 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
AU - Natera Orozco, Luis Guillermo
AU - Deritei, David
AU - Vancso, Anna
AU - Vasarhelyi, Orsolya
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Life quality in cities is deeply related to the mobility options, and how easily one can access different services and attractions. The pedestrian infrastructure network provides the backbone for social life in cities. While there are many approaches to quantify life quality, most do not take specifically into account the walkability of the city, and rather offer a city-wide measure. Here we develop a data-driven, network-based method to quantify the liveability of a city. We introduce a life quality index (LQI) based on pedestrian accessibility to amenities and services, safety and environmental variables. Our computational approach outlines novel ways to measure life quality in a more granular scale, that can become valuable for urban planners, city officials and stakeholders. We apply data-driven methods to Budapest, but as having an emphasis on the online and easily available quantitative data, the methods can be generalized and applied to any city.
AB - Life quality in cities is deeply related to the mobility options, and how easily one can access different services and attractions. The pedestrian infrastructure network provides the backbone for social life in cities. While there are many approaches to quantify life quality, most do not take specifically into account the walkability of the city, and rather offer a city-wide measure. Here we develop a data-driven, network-based method to quantify the liveability of a city. We introduce a life quality index (LQI) based on pedestrian accessibility to amenities and services, safety and environmental variables. Our computational approach outlines novel ways to measure life quality in a more granular scale, that can become valuable for urban planners, city officials and stakeholders. We apply data-driven methods to Budapest, but as having an emphasis on the online and easily available quantitative data, the methods can be generalized and applied to any city.
KW - Life quality
KW - Urban development
KW - Urban networks
KW - Walkability
UR - http://www.scopus.com/inward/record.url?scp=85087857057&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-36683-4_72
DO - 10.1007/978-3-030-36683-4_72
M3 - Conference contribution
SN - 9783030366827
T3 - Studies in Computational Intelligence
SP - 905
EP - 918
BT - Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
A2 - Cherifi, Hocine
A2 - Gaito, Sabrina
A2 - Mendes, José Fernendo
A2 - Moro, Esteban
A2 - Rocha, Luis Mateus
PB - Springer
Y2 - 10 December 2019 through 12 December 2019
ER -