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Combining smart car...
Combining smart card data with data from user-mediated mobile platform survey for longitudinal study of travel behaviour
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- Berggren, Ulrik (författare)
- Lund University,Lunds universitet,Trafik och väg,Institutionen för teknik och samhälle,Institutioner vid LTH,Lunds Tekniska Högskola,Transport and Roads,Department of Technology and Society,Departments at LTH,Faculty of Engineering, LTH
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- Johnsson, Carl (författare)
- Lund University,Lunds universitet,Trafik och väg,Institutionen för teknik och samhälle,Institutioner vid LTH,Lunds Tekniska Högskola,Transport and Roads,Department of Technology and Society,Departments at LTH,Faculty of Engineering, LTH
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- Svensson, Helena (författare)
- Lund University,Lunds universitet,Trafik och väg,Institutionen för teknik och samhälle,Institutioner vid LTH,Lunds Tekniska Högskola,Transport and Roads,Department of Technology and Society,Departments at LTH,Faculty of Engineering, LTH
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visa fler...
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- Wretstrand, Anders (författare)
- Lund University,Lunds universitet,Trafik och väg,Institutionen för teknik och samhälle,Institutioner vid LTH,Lunds Tekniska Högskola,Transport and Roads,Department of Technology and Society,Departments at LTH,Faculty of Engineering, LTH
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visa färre...
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(creator_code:org_t)
- 2017
- 2017
- Engelska 9 s.
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Ingår i: Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017. - 9789881581464 ; , s. 597-605
- Relaterad länk:
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https://lup.lub.lu.s...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Nyckelord
- Public transport
- Smart card data
- Survey data
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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