Web-Based Travel Survey: A Demo

Bourbonnais, Pierre-Léo; Morency, Catherine

doi:10.1108/9781781902882-010

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…The data are collected by a telephone interview, however, in recent years, this traditional survey method is facing several challenges (for instance response rate decreases, sampling frame limitations, high costs and so on) (Bonnel et al 2009). Advancement in technologies (for instance availability of smart phones, global positioning satellite (GPS), and easy access to internet) allows the development of new, improved methods, such as smart phone-based, GPS-based, and web-based surveys (Bourbonnais and Morency 2013;Cottrill et al 2013;Stopher et al 2013). However, these methods are still evolving and require more research to understand their benefits, problems as well as challenges (Zmud et al 2013).…”

Section: Data and Research Methodsmentioning

confidence: 98%

Trend analysis of activity generation attributes over time

2015

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Activity generation models are relatively poorly developed in activity-based travel demand modelling frameworks. This research investigates whether observed distributions of activity attributes (activity frequency, start time and duration) used as inputs in the activity generation component of an activity-based travel demand model have changed over time. This research empirically examines changes in the distributions of activity generation attributes over time in the Greater Montreal area (GMA), Quebec, Canada. It also focuses on how these attributes vary with peoples' socio-demographic characteristics. This research relies on the 1998, 2003 and 2008 origin-destination (O-D) household travel surveys of the GMA. The comparative analysis at three time points in a 10-year period clearly reveals that distributions of activity attributes are significantly changing over time. Work and school activities show similar trends; frequency ''1'' has increased and frequency ''2?'' has decreased over time. The occurrence of shopping activity on weekdays is decreasing over time. Start time and duration distributions for each activity have also changed significantly over time. The research allows preparing activity attributes for the application of an activity-based model, TASHA, such that they reflect temporal changes in travel behaviour of the GMA.

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Section: Data and Research Methodsmentioning

confidence: 98%

Trend analysis of activity generation attributes over time

2015

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“…To date, seven person-based and two household-based surveys have been conducted using the same custom-built survey software. For an appreciation of the questionnaire interface and design, see Bourbonnais and Morency ( 10 ).…”

Section: Context and Datamentioning

confidence: 99%

Factors Affecting Interview Duration in Web-Based Travel Surveys

Bourbonnais

Morency

2018

Transportation Research Record: Journal of the Transportation R

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Historically, travel surveys have been conducted face-to-face, by mail, or by phone. With the increasing share of households having access to the Internet, other survey modes have been deployed. This paper focuses on web surveys. Among other advantages, using the web to conduct surveys reduces costs and helps mitigate poor response rates among young households. Very few studies have been conducted on interview duration and its determinant using paradata from web travel surveys. Such knowledge is necessary to validate the context in which travel data are gathered and can be used to understand sample and data quality. Interview duration modeling is also essential for allocating survey servers and monitoring interviews during the data collection phase. This paper models interview duration using paradata from nine web surveys conducted in the Quebec province from 2010 to 2014. The main objectives of the model are to assist the monitoring of interviews by detecting outliers, provide a better estimate of the interview duration to respondents and survey managers during the interview, and allow a more precise evaluation of the server performance needed before conducting web travel surveys. Using a multiple regression model, we observed that the most important variables in explaining interview duration were number of car and transit trips as well as number of unique places visited during a day. Conducting the interview on a small-screen device also increased interview duration. The model also provides a baseline estimate of interview duration on the basis of demographic features and questionnaire design.

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“…This interface used applets developed in Java, and Google Maps in order to assist recording of activity places (geocoding) and the reporting of actual trips into a relational database, while using e-mail to recruit and support respondents. In Bourbonnais and Morency (2011), researchers demonstrated the usability of the web to conduct a large-scale household travel survey in metropolitan areas and for large trip generators like universities. It presented the development and implementation process for a web-based tool as well as various statistics on the way respondents interacted with the tool.…”

Section: Improving Respondent Interfacesmentioning

confidence: 99%

Transport Surveys: Considerations for Decision Makers and Decision Making

Zmud¹,

Lee-Gosselin²,

Munizaga³

et al. 2013

Transport Survey Methods: Best Practice for Decision Making

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This book provides an international perspective on improving information to support transportation decision-making. It comprises papers and workshop syntheses from the 9 th International Conference on Transport Survey Methods in Chile in November 2011. The conference was organized into fourteen workshops with both paper presentations and discussions in the workshops forming the majority of the conference activity. The papers reported primarily on research pertaining to continuous improvement in transport survey methodsthe backbone of the transportation data pipeline in most countries. But some papers also addressed the new ways in which innovationnotably technological innovationis being applied to the capture and analysis of data to produce necessary information faster, better, and less expensively. The conference program built on a rich legacy of intellectual pursuits spanning the past two decades, and it is anticipated that the conference will continue into the future. Thus, the contents of this book represent a 5-10 year view through a moving window on the international state of the practice and concerns in transport survey methods.

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Web-Based Travel Survey: A Demo

Cited by 11 publications

References 7 publications

Trend analysis of activity generation attributes over time

Trend analysis of activity generation attributes over time

Factors Affecting Interview Duration in Web-Based Travel Surveys

Transport Surveys: Considerations for Decision Makers and Decision Making

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