Regional Travel Time and Transfer Impacts of the Noord/Zuidlijn using Interoperable Smart Card Data

Master Thesis (2021)
Author(s)

S.M.H. van Hees (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Serge Hoogendoorn – Mentor (TU Delft - Transport and Planning)

Niels van Oort – Mentor (TU Delft - Transport and Planning)

Sander Van Cranenburgh – Mentor (TU Delft - Transport and Logistics)

T. Brands – Mentor (TU Delft - Transport and Planning)

Martijn Kobus – Mentor

Rutger Veldhuijzen van Zanten – Mentor

Faculty
Civil Engineering & Geosciences
Copyright
© 2021 Simon van Hees
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 Simon van Hees
Graduation Date
22-07-2021
Awarding Institution
Delft University of Technology
Programme
Transport, Infrastructure and Logistics
Faculty
Civil Engineering & Geosciences
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

On July 22nd 2018 the Noord/Zuidlijn, a metro line crossing the city center of Amsterdam, became operative. This entailed a transformation from a direct bus and tram network to a network consisting of a metro trunk line and bus and tram feeder lines. This study explores and uses interoperable smart card data from before and after the Noord/Zuidlijn became operative to measure the regional travel time and transfer impacts of this network overhaul. On a working day on average 1,350 hours of travel time are saved. The travel time savings and losses are 2,350 and 1,000 hours per day respectively. Additionally, 2,500 extra transfers are made per working day. The transfers gains are 4,500 transfers and the transfer losses are 7,000 transfers per working day. 20% of the travelers experiences a decrease in travel time of more than 1 minute, 10% experiences an increase in travel time of more than 1 minute. Furthermore, interoperable smart card data showed to be promising as it captures travel behavior across multiple operators. However, the fact that the number of travelers is given in bins complicates analysis. This study develops a methodology to work with interoperable smart card data. Additionally, as only few studies have evaluated the transportation impacts of a large-scale public transport network overhaul ex-post, the findings of this research could improve public transport planning and assessment.

Files

License info not available