1270 | 379 | modelling intermodality and modal split in peripheral railway stations | Elena Díaz Burgos, Santos Sánchez – Cambronero, Ana Rivas Álvarez
Many cities are currently working on the development of mobility policies aimed at improving the accessibility of transport infrastructures and thus the intermodality in the citizens’ daily travel. Some of these policies should focus on obtaining a more sustainable modal split in access to and egress from commuter rail stations, by implementing new forms of mobility. One of the most interesting data to start is to know the current modal split, to identify, the micromobility displacements that are made in an urban area and, specifically, in the stations’ catchment area. _x000D_
This research proposes a model to obtain the modal split accessing to commuting railway stations, with a special focus on the share and behavior of micromobility users. In particular, the model uses as observed flow, the data provided by devices that allow to re-identify pedestrians and is formulated to estimate with high accuracy the pedestrian route flows. These flows allow to know the modes of transport and modal split model can be formulated. With this model it will be possible to forecast the changes that may occur in the flows when variations were proposed in the station environment to help in developing effective transport policies to obtain a more sustainable modal split._x000D_
However, since this technology to obtain data is not currently used in any station, the data to validate the model should be simulated, in this case, using the software PTV Vissim. Methodologically, to better understand the problem that the model deals with, we propose to study a fictitious peripheral railway station as a case study, where pedestrians using different modes of transport. This station is modelled to be used as scenario to take the data we need to then calibrate the pedestrian flow model. With this methodology, we seek to obtain realistic data to validate the model we are developing, while we wait for this technology to be completely ready to be used in the real world.
Elena Díaz Burgos, Santos Sánchez – Cambronero, Ana Rivas Álvarez
Universidad de Castilla – La Mancha
ID Abstract: 379