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The purpose of this chapter is to provoke thinking about the directions in which the travel survey toolkit should move in the near future based on the author's personal experience and as an outcome of the Travel Survey Methods conference. The chapter begins with a brief historical review that attempts to show some of the major elements of change that have occurred in travel survey methods over the past 40–50 years. A more detailed review is provided about developments over the past 10–15 years. The chapter then explores a number of emerging challenges, including telephone contact of potential respondents, computer-assisted surveys, Internet surveys, mixed-mode surveys, the impacts of language and literacy and the potentials of mobile technologies. Based on this, the chapter then considers future directions that should be pursued. The chapter suggests that it has been changes in survey methodology that have, in the past, sometimes enabled and at other times led to changes in modelling paradigms, and that this may be an appropriate time for travel survey methodology again to enable changes in modelling paradigms. A speculative specification of a new household travel survey that makes use of a number of these developments is then offered. The chapter ends with some concluding remarks that issue a challenge to the travel survey community to think ‘outside the box’ and foster change and improvement in the accuracy and representativeness of travel surveys.

Health scientists and urban planners have long been interested in the influence that the built environment has on the physical activities in which we engage, the environmental hazards we face, the kinds of amenities we enjoy, and the resulting impacts on our health. However, it is widely recognized that the extent of this influence, and the specific cause-and-effect relationships that exist, are still relatively unclear. Recent reviews highlight the need for more individual-level data on daily activities (especially physical activity) over long periods of time linked spatially to real-world characteristics of the built environment in diverse settings, along with a wide range of personal mediating variables. While capturing objective data on the built environment has benefited from wide-scale availability of detailed land use and transport network databases, the same cannot be said of human activity. A more diverse history of data collection methods exists for such activity and continues to evolve owing to a variety of quickly emerging wearable sensor technologies. At present, no “gold standard” method has emerged for assessing physical activity type and intensity under the real-world conditions of the built environment; in fact, most methods have barely been tested outside of the laboratory, and those that have tend to experience significant drops in accuracy and reliability. This paper provides a review of these diverse methods and emerging technologies, including biochemical, self-report, direct observation, passive motion detection, and integrated approaches. Based on this review and current needs, an integrated three-tiered methodology is proposed, including: (1) passive location tracking (e.g., using global positioning systems); (2) passive motion/biometric tracking (e.g., using accelerometers); and (3) limited self-reporting (e.g., using prompted recall diaries). Key development issues are highlighted, including the need for proper validation and automated activity-detection algorithms. The paper ends with a look at some of the key lessons learned and new opportunities that have emerged at the crossroads of urban studies and health sciences.

We do have a vision for a world in which people can walk to shops, school, friends' homes, or transit stations; in which they can mingle with their neighbors and admire trees, plants, and waterways; in which the air and water are clean; and in which there are parks and play areas for children, gathering spots for teens and the elderly, and convenient work and recreation places for the rest of us. (Frumkin, Frank, & Jackson, 2004, p. xvii)

Social enterprises have long been considered ideal settings for studying hybrid organizing due to their combination of social and economic goals and activities. In this chapter, the authors argue that the current research focus on hybrid organizing foregrounds the paradox, conflicting logics, and multiple identities associated with the pursuit of multiple goals but underappreciates the relationship between hybrid organizing and its institutional context. Recognizing that the primary objective of social enterprises is to tackle social problems, the authors introduce the social problem domain as an analytically useful and theoretically interesting meso-level to examine the role of context for hybrid organizing and to advance conversations on hybridity in organizational theory. Social problem domains offer insights into the political, cultural, and material differences in how various societies deal with social problems, which in turn affects hybrid organizing. The authors provide empirical insights derived from an analysis of social enterprises across three countries and social problem domains. The authors show how the institutional arrangements of social enterprises differ considerably across contexts, and how these arrangements affect how social enterprises become more or less similar compared to traditional ways of organizing in these problem domains. Based on these findings, the authors outline a research agenda on social enterprises that focuses on examining the nature, antecedents, and outcomes of hybrid organizing around social problems across multiple levels of analysis. With this chapter, the authors move the focus of social enterprise research in organizational theory from studying how these organizations cope with multiple logics and goals toward studying how they engage in markets for public purpose.

Across Europe, on average more than 95% of all passenger cars and half of all light commercial vehicles are permanently available to a household. This includes both privately owned vehicles and company cars. The profiles of vehicle use can be specified as average annual distance driven per vehicle and for the fleet as a total, purpose of travel (trip destination), infrastructure use (urban, interurban or motorway road transport) and also fuel consumption together with data on CO₂ emissions. Indicators on vehicle use can be tracked in various ways:

• self-administered panels of households, which permit their vehicles to be followed for several years;

• national or local household travel surveys (with a seven-day trip diary);

• official vehicle inspection and vehicle registration files;

• ‘vehicle surveys’ based on vehicle registry data;

• traffic counts;

• data collected for road-charging purposes.

self-administered panels of households, which permit their vehicles to be followed for several years;

national or local household travel surveys (with a seven-day trip diary);

official vehicle inspection and vehicle registration files;

‘vehicle surveys’ based on vehicle registry data;

traffic counts;

data collected for road-charging purposes.

The paper will present a review of mainly vehicle-based survey methods used in France, Germany, Finland, the United Kingdom, the United States and Canada, describing existing sampling frames to their scope, advantages and limitations, as well as their costs. Issues addressed in this context will be further examined in terms of their methodological challenges as well as their purpose.

The leading questions underlying this paper as well as the corresponding workshop are: why is it necessary to have data on passenger travel or transportation; and, looking at international experience, how good are vehicle-based surveys in delivering the required information? In discussing problems experienced in the different countries with data collection and evaluation methods, emphasis will be put on potential strategies for methodological and technological improvement and problem solving. One example is the potential use, benefits and constraints of new survey technologies presented by vehicle tracking techniques.

This double volume presents a collection of 23 papers on how institutions matter to socio-economic life. The papers delve deeply into the practical impact an institutional approach enables, as well as how such research has the potential to influence policies relevant to critical institutional changes unfolding in the world today. In Volume 48A, the focus is on the micro foundations of institutional impacts. In Volume 48B, the focus is on the macro consequences of institutional arrangements. Our introduction provides an overview to the two volumes, identifies points of contact between the papers, and briefly summarizes each contribution. We close by noting avenues for future research on how institutions matter. Overall, the volumes provide a cross-section of cutting edge institutional thought and empirical research, highlighting a variety of fruitful directions for knowledge accumulation and development.

Purpose — This paper describes what the authors believe to be the first GPS-only full-scale household travel survey.

Design/methodology — The survey commenced in early 2009 with the conduct of a pilot survey to help establish various parameters and procedures for the main survey. The main survey commenced in August 2009 and was completed in August 2010. It was designed as a household travel survey to be collected steadily over a 12 month period. The target sample size was originally set at over 3500 households, although this target was reduced downwards during the course of the survey. Each household member over the age of 12 was asked to carry a GPS device with them everywhere they went for a period of 3 days. After the 3-day collection period was completed, GPS devices were retrieved from households, the data were downloaded and processing of the data commenced. The study also involved a PR survey performed on the Internet.

Findings — The paper concludes with lessons learnt from this GPS-only survey and suggestions for how future GPS-only surveys might be conducted.

Originality/value of the paper — The paper describes the first GPS-only household travel survey and concludes that it is now feasible to conduct household travel surveys by GPS.

Many companies use competition for either monetary or non-monetary rewards to induce employee effort. Pitting employees against each other in a competition could come at a thus far insufficiently considered cost of leading to lower employee cooperation. The authors examine how competition for monetary rewards in the form of tournament incentives or non-monetary rewards in the form of standing in uncompensated public rankings affects employee cooperation with former competitors in a subsequent task where the extent of the cooperation does not affect the welfare or social standing of the person deciding to cooperate. The authors hypothesize that competition in the first task negatively affects cooperation in the second task. The authors further predict that competition leads to psychological pressure, which mediates differences in cooperation. The results support the authors’ hypotheses. In addition, the authors find that the decrease in cooperation results from the behavior of low performers, whereas cooperation by high performers is not affected. The findings are important because they show that inducing effort in one dimension leads to an unintended cost in the form of lower cooperation in another dimension. This cost occurs for both types of competition – competition for monetary payoffs and for non-monetary rewards. Ultimately, the size of this cost depends on the marginal benefit from any cooperation of low performers.

Purpose — In order to analyse applicability, comparability and limitations of GPS technology in travel surveys, different mobility survey techniques were tested in an Austrian pilot study.

Methodology/approach — Four groups of voluntary respondents recorded their travel behaviour over a time period of three consecutive days. The groups were assigned to three different and combined methods of data collection: Paper–pencil trip diaries, passive GPS tracking, active GPS tracking and prompted recall interviews.

Findings — The resulting mobility parameters show that self-reported paper– pencil surveys yield accurate sociodemographic information on the respondents as well as trip purposes and modes of transportation, although too few trips are reported. Passive GPS-based methods minimize the strain for respondents. Methods that combine GPS-based data collection and questionnaire provide the most reliable mobility data at the moment.

Research limitations/implications — Due to funding restrictions the sample sizes had to be relatively small (235 participants). Further development in research methodology will increase the effectiveness of automated data analysis, for example more accurate detection of activities and transport modes. The usefulness of GPS-based data collection in a large-scale surveys is planned to be tested in the next Austrian national travel survey.

Originality/value of paper — The pilot study allows a detailed comparison of traditional and GPS-based travel survey methods for the first time, due to data collection combined with prompted recalls.