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Purpose — In the context of the study of the role of social networks in travel behavior, this chapter adds to that body of knowledge by presenting a new data collection effort, which collects a wide array of information about the social, urban, and temporal context where social activity-travel behavior occurs.

Methodology/approach — The study was developed in Concepción, Chile, involving 240 respondents from four different urban contexts and their personal networks. The analysis concentrates on the challenges and opportunities of different techniques to build personal networks as a way of studying the social dimension of travel behavior. Although most of the current methods to study personal networks rely on emotional closeness, this approach may not be sufficient, since these “elicited” people may not include daily contacts that could be relevant to study social activities. Tackling this issue, the data instrument also collects those daily “revealed” people, on a two-day time use diary and a social activities listing. With this information, the chapter presents a comparative analysis between these “elicited” and “revealed” personal networks.

Findings — Overall, the results illustrate the dependence of the name generator technique on what is observed in terms of social activity-travel behavior, specifically on aspects such as personal network size, average distance, and frequencies of interaction. In addition, the comparison between the different methods to construct the personal networks, illustrates how name generators provide the opportunity to further understand transport related questions, such as the role of income and access to amenities on spatial and temporal patterns of social interactions, and their effect on social capital.

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 — Study the causal effect of psychological factors on mode choice, using an instrument which gathered attitudinal, affective and habitual behaviour factors, with an application to a Canadian and Chilean sample.

Approach — Ad hoc questionnaire used to collect information related to psychological factors, studying the role of these factors upon mode choice using structural equation modelling, combining a measurement model and the latent variables.

Findings — Emotional (affective) factors have a strong influence on mode choice, as well as attitudinal and habitual factors. Car users have a strong positive emotion to the transport mode they use when compared with public transport users and transit utilization.

Research limitations — The inclusion of social factors, such as norm, role and self-concept, is desirable for a better understanding of people's behaviour regarding transport mode usage. The structural equation modelling was used to analyse the causal effects among factors, but it is not intended to model mode choice. An advanced approach would be to estimate a hybrid discrete choice model.

Practical implications — Realizing the real importance of personal psychological factors on mode choice is a key issue when intending to implement mobility and travel demand management strategies. The success of these strategies strongly relies on people's change of behaviour, which does not depend only on instrumental and socio-demographic factors, such as cost, time and income, but also on these very inner personal aspects.

Originality/value — Capture psychological factors through a comprehensive survey, which rests on a psychological framework and considers simultaneously attitudinal, affective and habitual personal factors, as well as instrumental and socio-demographic information. Make a comparison among cities belonging to different countries regarding the role of these factors, cities with a different cultural and social background.