2019/11/25 by Luis Natera, Luis Guillermo Natera Orozco, Dávid Deritei +2
Computer Science · Engineering · Physics and Astronomy · Social Sciences · #Built environment #Cartography #Civil engineering #Computer science #Data mining #Data science #Engineering #Geography #Human Mobility and Location-Based Analysis #Measure (data warehouse) #Pedestrian #Quality (philosophy) #Scale (ratio) #Transport engineering #Transportation Planning and Optimization #Urban Transport and Accessibility #Walkability #cs.CY #cs.SI #physics.soc-ph
paper · pdf · doi:10.1007/978-3-030-36683-4_72
13 pages, 3 figures
openalex publication_date 2019/11/25 · openalex created_date 2019/12/05 · arxiv created 2020/06/04 · arxiv updated 2020/06/05 · openalex updated_date 2026/08/05
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.