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This book provides an international perspective on improving information to support transportation decision making. It comprises a selection of papers plus workshop syntheses from the 9th International Conference on Transport Survey Methods in Chile in November 2011. The conference was organized into 14 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 methods — the backbone of the transportation data pipeline in most countries. But some papers also addressed the new ways in which innovation — notably technological innovation — is 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.

Purpose — The Regional Household Travel Survey (RHTS) was a large-scale regional household travel survey that covered 28 counties in the New York, North New Jersey, and Connecticut regions (i.e., the New York City “megaregion”). Data collection for the survey began in October 2010 and concluded in November 2011.

The chapter discusses the multiple modes and methodologies used in the RHTS, and presents the participation rates and trip rates obtained using this multimodal approach.

Methodology/approach — This survey used a combination of web, telephone, and mail-out/mail-back methods to collect household and travel information from approximately 18,800 households. Ten percent of the sampled households participated in the survey by using wearable global positioning system (GPS) devices that collected detailed travel data which, in turn, were processed and presented back to the households in a GPS-based prompted recall interview administered by web or telephone. The GPS component was used to generate trip rate correction factors for the other 90% diary-based households.

Findings — This large regional survey was the first to use this specific combination of methods and technologies, and provides many insights into the success of targeted survey modes and methods for different population groups.

At the 2008 International Conference on Transport Survey Methods in Annecy, France, transport survey methodologists and practitioners shared their experience with keeping abreast of the data needs of a rapidly changing world. Over the past decade, this has translated into the need for: an expanded travel survey toolkit; methodological innovation for surveys of freight and public transport operations; a growing use of data collection and processing technologies; a need to align surveys with other data streams; and an increased interest in the comparability of international datasets on personal travel and commodity movements in an era of globalisation. We discuss how these guided the choice and scope of the five themes around which both the Annecy Conference and this book were organised.

Purpose — This paper presents the process of creating a web-based travel survey tool. It aims to define advantages and disadvantages of using the web as a survey tool as well as explain the methodology involved while conducting online travel surveys and technologies that were used in the described tool.

Methodology/approach – This paper presents a web-based origin-destination travel survey tool that was developed to assess the potential of this medium to complement usual large-scale phone surveys conducted regularly in the Quebec province. The first tool (that was updated twice to answer to new needs — people-based regional survey and household-based regional survey) developed for a generator-based survey is presented and discussed. The paper namely describes the technology used as well as the particular functions, both for respondents and administrators that were developed. Particularities of the tools are introduced.

Findings — The experimentations conducted using the web-based survey tool reveal that the key components of the tool that influences the response rates and quality of responses are ease of use of the multiple elements on questionnaire such as maps and form fields and overall design quality of the user interface. While presentation of actual results after conducting surveys using the tool are not the main goal of this paper, some preliminary results such as response rates reveal that between 10% and 20% of the entire community of trip generators like universities responded to the person-based version and around 10% of the sampled households from the general population of a specific region did complete the household-based version.

Research limitations/implications — Web-based survey tools in the transportation domain are still new and are in need of a much larger research base to be able to generalize results and findings further.

Practical implications — The tool presented is using up-to-date technology and refined questionnaire design. In this optics, it tries to push the development of web-based travel surveys further in order to increase response rates and quality of responses.

Originality/value — This paper is, on one hand, one of the first to present a tool that was used for both a person-based and a household-based survey and on the other hand for trip generator communities as well as households sampled for regional surveys. It also presents in great detail the interface used in the questionnaire and the administration toolkit accompanying the web application.