Because traditional accessibility metrics do not fully consider personal and temporal restrictions, more dynamic accessibility measures are needed. Geographic Information Systems (GIS) address this issue by enabling complex spatial enquiries and analyses. This research aims to develop an automated accessibility analysis by combining GIS and Python programming. Herein, the temporal component plays a crucial role. The reasearch is mainly situated in the field of spatial planning, with a strong focus on social (in)equality and transport poverty. Currently, the topic has already been translated into a more theoretical case concerning day-care accessibility in East-Flanders based on the commute from the home to the work location (project Kind & Gezin). A second, more practical application focuses on pinpointing areas of transport poverty in Flanders, based on the public transport accessibility in space and time (project De Lijn). Future studies will further detail the automated model for accessibility measures by incorporating even more individual and temporal indicators. Implementing this methodology for practical cases is a priority.
Prof. dr. Greta Deruyter (Department of Industrial Technology and Construction, UGent) (co-promotor)