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Combining smart card data with data from user-mediated mobile platform survey for longitudinal study of travel behaviour

Berggren, Ulrik LU ; Johnsson, Carl LU ; Svensson, Helena LU and Wretstrand, Anders LU orcid (2017) 22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017 p.597-605
Abstract

Smart card data and survey data have different characteristics, which combined have the potential to enrich the total level of information as well as to reduce inherent biases in each dataset. This paper describes a fruitful procedure to use survey data from a smartphone application-based travel survey with prompted recall to validate data from smart card transactions in the same geographical area and time period. Real departure times from AVL data in combination with timetables and route courses from a GTFS database were utilised to create stop-to-stop trajectories from the survey data, and then assigned to the GTFS network and visualised using a network analysis tool. A destination and transfer inference procedure applied on the smart... (More)

Smart card data and survey data have different characteristics, which combined have the potential to enrich the total level of information as well as to reduce inherent biases in each dataset. This paper describes a fruitful procedure to use survey data from a smartphone application-based travel survey with prompted recall to validate data from smart card transactions in the same geographical area and time period. Real departure times from AVL data in combination with timetables and route courses from a GTFS database were utilised to create stop-to-stop trajectories from the survey data, and then assigned to the GTFS network and visualised using a network analysis tool. A destination and transfer inference procedure applied on the smart card data enabled assignment and subsequent visualisation and comparison with the surveyed trip trajectories. Comparison based on trip characteristics show reasonable similarities and differences between the datasets.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Public transport, Smart card data, Survey data
host publication
Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
pages
9 pages
publisher
Hong Kong Society for Transportation Studies Limited
conference name
22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017
conference location
Hong Kong, Hong Kong
conference dates
2017-12-09 - 2017-12-11
external identifiers
  • scopus:85050590504
ISBN
9789881581464
language
English
LU publication?
yes
id
636bbe06-7e8b-4123-93e3-690f3ec27292
date added to LUP
2018-08-28 12:27:26
date last changed
2022-10-15 22:53:49
@inproceedings{636bbe06-7e8b-4123-93e3-690f3ec27292,
  abstract     = {{<p>Smart card data and survey data have different characteristics, which combined have the potential to enrich the total level of information as well as to reduce inherent biases in each dataset. This paper describes a fruitful procedure to use survey data from a smartphone application-based travel survey with prompted recall to validate data from smart card transactions in the same geographical area and time period. Real departure times from AVL data in combination with timetables and route courses from a GTFS database were utilised to create stop-to-stop trajectories from the survey data, and then assigned to the GTFS network and visualised using a network analysis tool. A destination and transfer inference procedure applied on the smart card data enabled assignment and subsequent visualisation and comparison with the surveyed trip trajectories. Comparison based on trip characteristics show reasonable similarities and differences between the datasets.</p>}},
  author       = {{Berggren, Ulrik and Johnsson, Carl and Svensson, Helena and Wretstrand, Anders}},
  booktitle    = {{Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017}},
  isbn         = {{9789881581464}},
  keywords     = {{Public transport; Smart card data; Survey data}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{597--605}},
  publisher    = {{Hong Kong Society for Transportation Studies Limited}},
  title        = {{Combining smart card data with data from user-mediated mobile platform survey for longitudinal study of travel behaviour}},
  year         = {{2017}},
}