IN-PERSON Lisbon Livable Cities. Section B

Abstract

The 15-minute city has been the hot topic since post-covid. Most studies measuring the 15-minute proximity to basic services rely on open data sources such as OpenStreetMap. These open data sources are quite accurate in European case studies because open data sources are voluntarily well managed for these areas. But this accuracy is highly questionable for case studies from developing countries. Therefore, the reciprocity of the 15-minute city concept into the developing countries is difficult. We aim to measure 15-minute proximity to the health services, schools, and public transport stops using open data sources and data provided by local authorities. So, we can compare how much difference we get in terms of proximity when we change the data sources. The NEXT proximity index will be adapted to calculate pedestrian accessibility using both types of data sources in the case of Lahore, Pakistan. The centroids of H3 hexagons at resolution 9 will be used for city boundary and computed as origins in the r5r package to calculate shortest travel times to each type of points of interest, i.e., education, transport, and health. Access scores will be given to each hexagon proportionally to their access to each type of facility. The difference in the access score will provide useful information on the level of accuracy that we attain by using different data sources. We could make a claim on which type of sources are better in order to calculate 15-minute proximity.