Demand Modelling for Responsive Transport systems using digital footprints



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.


Innovative transport modes, Public transport operations, Transport demand and behaviour, Urban Mobility and accessibility


Demand Responsive Transportation


EPIA 2015 - 17th Portuguese Conference on Artificial Intelligence, September 2015

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