THE OPTIMAL DURATION FOR A TRAVEL SURVEY by Metin SENBIL, Ph.D.

Subjects: “…Multi-day travel survey…”
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Effect of nonresponse in Lithuanian travellers’ survey by Marijus Radavičius

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Itinerum: The open smartphone travel survey platform by Zachary Patterson, Kyle Fitzsimmons, Stewart Jackson, Takeshi Mukai

“…Keywords: Smartphones, Travel surveys, Web platform…”
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Emerging trends in household travel survey programs by Catherine T. Lawson, Eric Krans, Elizabeth (Green) Rentz, Joann Lynch

Subjects: “…Household travel survey…”
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Stop Detection in Smartphone-based Travel Surveys by Zhao, Fang, Ghorpade, Ajinkya, Pereira, Francisco Câmara, Ben-Akiva, Moshe E, Zegras, Christopher

“…Future Mobility Sensing (FMS) is a smartphone-based travel survey system that employs a web-based prompted-recall interaction to correct automatically inferred information. …”
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A comparison of methods for coding addresses in travel surveys/ by 419637 Miles, J. C., Walmsley, David A., Transport and Road Research Laboratory (Great Britain)

An empirical comparison of four technology-mediated travel survey methods by Hamid Safi, Behrang Assemi, Mahmoud Mesbah, Luis Ferreira

Subjects: “…Travel survey…”
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Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore by Zhao, Fang, Camara Pereira, Francisco, Ball, Rudi, Kim, Youngsung, Han, Yafei, Zegras, P. Christopher, Ben-Akiva, Moshe E.

“…Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey system that was field tested in 2012/2013 together with the Household Interview Travel Survey (HITS) in Singapore. …”
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Urban Resident Travel Survey Method Based on Cellular Signaling Data by Junzhuo Li, Wenyong Li, Guan Lian

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Towards a Metropolitan Fundamental Diagram Using Travel Survey Data. by Kai Wang, David M Levinson

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Using household travel surveys to adjust ITE trip generation rates by Kristina M Currans, Kelly J. Clifton

“…This method was created using household travel surveys from Oregon, Washington, and Maryland, as well as nationally available built environment data. …”
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The TimeGeo modeling framework for urban motility without travel surveys by Athavale, Shounak, Jiang, Shan, Yang, Yingxiang, Gupta, Siddharth, Veneziano, Daniele, Gonzalez, Marta C.

“…Well-established fine-scale urban mobility models today depend on detailed but cumbersome and expensive travel surveys for their calibration. Not much is known, however, about the set of mechanisms needed to generate complete mobility profiles if only using passive datasets with mostly sparse traces of individuals. …”
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A Method for Deriving Trip Destinations and Modes for GPS-based Travel Surveys by Wendy Bohte, Kees Maat, Wilko Quak

“…This chapter contributes to the improvement of GPS-based travel surveying by introducing a combined method of GPS, GIS and web-based user interaction, which has been applied in large- scale fieldwork in the netherlands. …”
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National travel survey 1972/73 : a comparison of 1965 and 1972/73 surveys/ by Great Britain. Department of the Environment

A case study of checking national household travel survey data with machine learning by Lisa Ecke, Miriam Magdolen, Sina Jaquart, Robin Andre, Peter Vortisch

“…In this paper, machine learning is used to check travel survey data of the German Mobility Panel (MOP). …”
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Concessionary fares and pensioners' travel pattrerns : an analysis based on the 1978/9 national travel survey / by 338461 Hopkin, Jean M., Transport and Road Research Laboratory (Great Britain)

Using the automatic matching program (AMP) to code travel surveys : a study of performance and cost/ by Ramsey, J. B. H., Transport and Road Research Laboratory (Great Britain)

National travel survey 1972/73 : cross sectional analysis of passenger travel in Great Britain/ by Great Britain. Department of the Environment

Driving pattern analysis of Nordic region based on National Travel Surveys for electric vehicle integration by Zhaoxi Liu, Qiuwei Wu, Linda Christensen, Antti Rautiainen, Yusheng Xue

“…This paper presents a methodology to transform driving behavior of person into one of the cars in order to analyze the driving pattern of EVs based on the National Travel Surveys. In the proposed methodology, a statistical process is used to obtain the driving behavior of cars by grouping the survey respondents according to the driving license number and car number, and mapping the households with similar characteristics. …”
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SEM application to the household travel survey on weekends versus weekdays: the case of Seoul, South Korea by Tae-Hyoung Tommy Gim

“…Conclusions The application of structural equation modeling to a Seoul household travel survey confirms the opposing role of land use in travel mode choices on weekdays versus weekends.…”
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