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Purpose — This chapter provides an overview of the sampling outcomes of the field surveys. This includes a description of the samples from the VISTA Follow-On survey and the Special survey covering both Metropolitan Melbourne and the Latrobe Regional Samples. Analysis includes an assessment of the coverage of the samples plus a discussion of the rationale and outcomes for improved sample coverage from the Special survey.

Methodology — The methodology adopted concerns the quantitative statistical analysis of survey sample coverage and cross tabulation of these findings from statistics on the population being sampled.

Findings — The Vista Follow-On survey approach was an effective means of targeting households for survey and also reduced the number of questions required. However, the resulting sample had low coverage of extremely disadvantaged groups. An adjustment to the survey quotas and a new recruitment method termed the Special survey were implemented to address this issue. This proved effective in obtaining a more balanced sample.

School library media specialists (SLMSs) often struggle with assuming leadership roles. Discrepancies existed in perceptions of SLMSs of their leadership preparedness, their opportunities to exert leadership, and their assumption of leadership roles. The purpose of this quantitative study was to explore the perceptions of SLMSs regarding their instructional leadership and to examine the extent to which they practiced instructional leadership. The study was designed to determine whether there were differences between SLMSs perceptions of the importance of their leadership roles and their opportunities to practice those roles. The results of the study indicated that SLMSs perceived all of the leadership roles to be more important than they were able to carry out in practice and that supportive administrators were the most essential factor in providing SLMSs the opportunity to practice and expand their roles as instructional leaders.

This chapter summarizes some of the results from the Working Group “National Travel Surveys” in COST Action 355. All 50 presentations could not be reviewed here; thus, we focus on three crucial topics:

• the periodicity of data collection, but also its longitudinal aspects (advantages of continuous surveying, repeated cross-sections vs. panel surveys, etc.),

• new technologies for improving the efficiency and accuracy of mobility surveys (computer-assisted telephone, Web-based, interviews, GPS, GSM, RDS, etc.),

• innovative approaches, exemplified by qualitative surveys combined with conventional quantitative ones, and by biographical approaches.

the periodicity of data collection, but also its longitudinal aspects (advantages of continuous surveying, repeated cross-sections vs. panel surveys, etc.),

new technologies for improving the efficiency and accuracy of mobility surveys (computer-assisted telephone, Web-based, interviews, GPS, GSM, RDS, etc.),

innovative approaches, exemplified by qualitative surveys combined with conventional quantitative ones, and by biographical approaches.

Purpose — In the context of evaluating transportation and carbon emission policies, improve weekly activity and mobility scheduling survey methodology in order to enhance data quality while reducing costs and decreasing respondent burden for designing continuous self-administered surveys that are predominantly passive (or computer-assisted).

Approach — Evaluate a set of functionalities deployed in a web travel survey interface (2009) and compare with a pencil-and-paper survey (2002–2003) deployed in Quebec City that sought similar data about weekly mobility. The first used a pencil-and-paper approach complemented by interviews and telecommunications. The second used applets developed in Java, and Google Maps in order to assist geocoding of activity places and the reporting of actual trips into a relational database, while using email to recruit and support respondents.

Implications — Both of these surveys had to address specific technical and privacy challenges during deployment, making their comparison relevant for discussing some of the impacts of information technologies on spatiotemporal data quality, conviviality of survey procedure, respondents' motivation and privacy protection.

Limitations — While neither of these surveys employed movement-aware mobile devices, such as GPS loggers, some of the lessons learnt are relevant to the design issues raised by the increasing deployment of such devices in travel surveys, and by the growing need to manage complex surveys over extended observation periods.

Purpose — The main objective of this survey is to collect data for the development of six models in a freight modeling framework. The framework aims to simulate the interactions between shippers and carriers in a freight market.

Methodology/approach — A web-based survey was designed using stated preference methods and experimental auctions, to collect information about shipper and carrier behavior when facing hypothetical situations. Hypothetical situations were constructed using information collected during the survey.

Findings — The modeling results are available for one model, the carrier selection model. In this model, data were collected using stated preference (SP) methods. Nine SP designs were developed using D-designs and an approach to minimize the nonattendance problem. A multinomial probit model was used. No bias was found due to the position of alternatives on the screen, signs of the parameters are as expected, and level of service attributes are relevant in the carrier selection process.

Research limitations/implications — The final response rate was small (about 9%) which is not uncommon in surveys with freight managers. This response rate might result in nonresponse bias of the estimates, which is the subject of future research.

Practical implications — Since freight transport is the output of a freight market, the application of the freight modeling framework presented in this chapter has potential to improve forecasts of freight flows.

Originality/value of chapter — To the best of our knowledge, the survey presented in this chapter consists of an innovative data collection procedure for the development of an original freight modeling framework.