Journey-based characterization of multi-modal public transportation networks
Name
12469_2016_145_ReferencePDF.pdf
Size
11.03 MB
Format
Adobe PDF
Checksum (MD5)
aa228c302aa242dfbe751f945362a426
Author(s)
Koutsopoulos, Haris N.
Viggiano, Cecilia Ann
Attanucci, John P
Wilson, Nigel H. M.
Date Issued
December 2016
Journal
Public Transport
Publisher
Springer Berlin Heidelberg
Citation
Viggiano, Cecilia et al. “Journey-Based Characterization of Multi-Modal Public Transportation Networks.” Public Transport 9.1–2 (2017): 437–461.
Version
Author's final manuscript
Abstract
Planners must understand how public transportation systems are used in order to make strategic decisions. Smart card transaction data provides vast, detailed records of network usage. Combined with other automatically collected data sources, established inference methodologies can convert smart card transactions into complete linked journeys made by individuals within the public transport network. However, for large, multi-modal public transport networks it can be challenging to summarize the journey records meaningfully. This paper develops a method for categorizing origin–destination (OD) pairs by public transport mode or combination of used modes. By aggregating across OD pairs, this categorization scheme summarizes the multi-modal aspects of public transport network usage. The methodology can also be applied to subsets of data filtered by time of day or geography. The categorization results can inform performance analysis of OD pairs, allowing planners to make comparisons between pairs served by different combinations of modes. London Oyster card data is analyzed to illustrate how the OD pair categorization can characterize a network, allowing planners to quickly assess the roles of different modes, and perform OD pair analysis in a multi-modal public transport network.
MIT Department
Massachusetts Institute of Technology. Center for Transportation & Logistics
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s12469-016-0145-8
