Demand Modelling for Responsive Transport systems using digital footprints
Authors
Abstract
Traditionally, travel demand modelling focused on long-term multiple socio-economic scenarios and land-use configurations to esti- mate the required transport supply. However, the limited number of transportation requests in demand-responsive flexible transport systems require a higher resolution zoning.This work analyses users short-term land use patterns, with a careful analysis of the available data coming from various different sources, such as GPS traces and social networks. We use a Multinomial Logit Model, with a social component for utility and characteristics, both derived from Social Network Analyses.
The results from the model show meaningful relationships between distance and attractiveness for all the different alternatives, with the vari- able distance being the most significant.