Public transport accessibility model based on user experience of the urban context
Below there is an english abstract of my article published in Proyección, 2017, vol. 21, p. 80-105.
Barón, Gabriela N.; Allende, David G.; Arena, Alejandro P. (2017) "Modelo de accesibilidad a sistemas de transporte público según la experiencia de usuario en el contexto urbano":
The complete article in Spanish can be downloaded here.
Mobility and transportation challenges in globalized cities have strong technical and locational facets, but these are only partial dimensions of the problematic. In order to design transportation systems that defy conventional models, a more humane shift towards mobility is needed, understanding that every trip starts and ends with a distance traveled by foot. Within this scope, the urban environment around public transport access areas influences catchment buffer distances, determined by the user experience during the access, transition and egress segments of the trip. This research aims to elaborate a methodological framework to evaluate accessibility that widens the scope of existing analysis tools. The preliminary results of a human-scale accessibility model are presented, elaborating on descriptive indicators of experiential qualities. The Logistic Regression mathematical model used consists of six predictive variables. Three of them describe the material aspects of the trip in different urban scales and the other three account for the user experience that derives from his interaction with the surrounding environment.