Journey-based characterization of multi-modal public transportation networks
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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2017
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| Online Access: | http://hdl.handle.net/1721.1/110697 https://orcid.org/0000-0003-1979-048X https://orcid.org/0000-0003-0144-049X |
| _version_ | 1826200953151291392 |
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| author | Koutsopoulos, Haris N. Viggiano, Cecilia Ann Attanucci, John P Wilson, Nigel H. M. |
| author2 | Massachusetts Institute of Technology. Center for Transportation & Logistics |
| author_facet | Massachusetts Institute of Technology. Center for Transportation & Logistics Koutsopoulos, Haris N. Viggiano, Cecilia Ann Attanucci, John P Wilson, Nigel H. M. |
| author_sort | Koutsopoulos, Haris N. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:44:19Z |
| format | Article |
| id | mit-1721.1/110697 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:44:19Z |
| publishDate | 2017 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1106972022-10-01T05:40:04Z Journey-based characterization of multi-modal public transportation networks Koutsopoulos, Haris N. Viggiano, Cecilia Ann Attanucci, John P Wilson, Nigel H. M. Massachusetts Institute of Technology. Center for Transportation & Logistics Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Viggiano, Cecilia Ann Attanucci, John P Wilson, Nigel H. M. 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. 2017-07-14T13:29:17Z 2017-10-01T05:00:06Z 2016-12 2017-06-24T04:03:41Z Article http://purl.org/eprint/type/JournalArticle 1866-749X 1613-7159 http://hdl.handle.net/1721.1/110697 Viggiano, Cecilia et al. “Journey-Based Characterization of Multi-Modal Public Transportation Networks.” Public Transport 9.1–2 (2017): 437–461. https://orcid.org/0000-0003-1979-048X https://orcid.org/0000-0003-0144-049X en http://dx.doi.org/10.1007/s12469-016-0145-8 Public Transport 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. Springer-Verlag Berlin Heidelberg application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Koutsopoulos, Haris N. Viggiano, Cecilia Ann Attanucci, John P Wilson, Nigel H. M. Journey-based characterization of multi-modal public transportation networks |
| title | Journey-based characterization of multi-modal public transportation networks |
| title_full | Journey-based characterization of multi-modal public transportation networks |
| title_fullStr | Journey-based characterization of multi-modal public transportation networks |
| title_full_unstemmed | Journey-based characterization of multi-modal public transportation networks |
| title_short | Journey-based characterization of multi-modal public transportation networks |
| title_sort | journey based characterization of multi modal public transportation networks |
| url | http://hdl.handle.net/1721.1/110697 https://orcid.org/0000-0003-1979-048X https://orcid.org/0000-0003-0144-049X |
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