Analysing and modelling of influencing attributes on transfer walking times for metro transfers

Analysing and modelling of influencing attributes on transfer walking times for metro transfers

van Voorst tot Voorst, B.A.M. (TU Delft Civil Engineering & Geosciences)

Daamen, W. (graduation committee)
Yuan, Y. (graduation committee)
van Oort, N. (graduation committee)
Pardini Susacasa, Laura (graduation committee)
Donners, Barth (graduation committee)
Birch, Nigel (mentor)

Delft University of Technology

Civil Engineering | Transport and Planning

2023-05-31

This research aims to understand the influencing attributes of passengers and station layout elements on transfer walking times for metro transfers. Little research has been performed to include passenger-related attributes to model transfer walking time besides station layout elements. Through a literature review, the effect of gender, luggage size, group size and level of crowding are potential attributes. Furthermore, the vertical transport mode choice, including the lift, the waiting condition to board a vertical transport mode and the alighting location, are also part of the influential attributes besides the transfer length. The walking time and passenger characteristics have been collected through a covert observation. In the data analysis, the effect of group size, vertical transport mode choice, waiting condition to board and the alighting location significantly impact the transfer walking time and the walking time on a transfer segment level. These attributes have been captured in walking time and passing speed models for various transfer segment types. The walking time models can predict a lower, mean and upper bound of the walking time for each combination of attributes. The case study for the walking time collection was metro station Beurs, Rotterdam.

Metro Network
Transfers
Transfer Design
Public transport modelling
Walking Behaviour
Metro station
Transfer Passengers
Passenger Journey
Metro
Public transportation
Modelling tool
Metro transfer

http://resolver.tudelft.nl/uuid:848e623d-a5fd-4a08-abe2-8936dc9814cb

https://doi.org/10.4121/0aa80e75-b6e8-4eff-bf15-8e22e8ad8a11.v1

Student theses

master thesis

© 2023 B.A.M. van Voorst tot Voorst