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The notion of Common Information Space (CIS) is an area that has been gaining attention in the field of Computer Supported Cooperative Work (CSCW) over the last few years. This paper discusses one aspect of the investigation being undertaken to develop the conceptualization of CIS pertaining to heterogeneous work communities. This is based on empirical study of collaborative decision making involving different work communities in an airport of the air traffic control setting. The theory development is founded on the Grounded Theory approach. We present some of the findings of the ongoing analysis. In particular we discuss how the Grounded Theory methodological process has been adapted to this investigation by presenting illustrations of emergent theory development at the theoretical coding phase of the process. Document type: Part of book or chapter of book

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International audience; This work provides a review of simulation techniques applied to urban logistics with a focus on practical applications. Several techniques and tools have been proposed to simulate different systems in urban logistics. In most cases, simulation choices depend on the objective of the simulation, the role of the decision maker and the type of problem. The paper offers a state of the art in which we analyse the existing simulation solutions for a given problem and/or a given stakeholder. As a result, it offers a practical reference for urban logistics researchers and practitioners who wish to use simulation in order to study the behaviour and performance of their systems. We propose an analytical framework allowing an easy overview of advantages and drawbacks of each technique, output criteria and examples. Document type: Part of book or chapter of book

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Collaborative Decision Making (CDM) embodies a new philosophy for managing air traffic. The initial implementation of CDM in the US has been aimed at Ground Delay Program Enhancements (GDP-E). However, the underlying concepts of CDM have the potential for much broader applicability. This paper reviews on-going and proposed CDM research streams. The topic areas discussed include: ground delay program enhancements; collaborative routing; performance monitoring and analysis; collaborative resource allocation mechanisms; game theory models for analyzing CDM procedures and information exchange; collaborative information collection and distribution. Document type: Part of book or chapter of book

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Abstract\r Purpose — In this paper we describe a total design data collection method (expanding the definition of the usual “total design” terminology used in typical household travel surveys) to emphasize the need to describe individual and group behaviors embedded within their spatial, temporal, and social contexts.\r \r Methodology/approach — We first offer an overview of recently developed modeling and simulation applications predominantly in North America followed by a summary of the data needs in typical modeling and simulation modules for statewide and regional travel demand forecasting. We then proceed to describe an ideal data collection scheme with core and satellite survey components that can inform current and future model building. Mention is also made to the currently implemented California Household Travel Survey that brings together multiple agencies, modeling goals, and data collection component surveys.\r \r Findings — The preparation of this paper involved reviewing emerging transportation modeling approaches and paradigms, policy questions, and behavioral issues and considerations that are important in the multimodal transportation planning context. It was found that many of the questions being asked of policy makers in the transportation domain require a deep understanding of the interactions and constraints under which individuals make activity-travel choices, the learning processes at play, and the attitudes and perceptions that shape ways in which people adjust their travel behavior in response to policy interventions. Based on the work, it was found that many of the traditional travel survey designs are not able to provide the comprehensive data needed to estimate activity-based model systems that truly capture the full range of behavioral considerations and phenomena of importance.\r \r Originality/value of paper — This paper offers a review of the emerging transportation modeling approaches and behavioral paradigms of importance in activity-based travel demand forecasting. The paper discusses how traditional travel survey designs are inadequate to meet the data needs of emerging modeling approaches. Based on a review of all of the data needs and new data collection methods that are making it possible to observe a full range of human behaviors, the paper offers a total survey data collection design that brings together many different surveys and data collection protocols. The core household travel survey is augmented by a full slate of special purpose surveys that together yield a rich behavioral database for activity-based microsimulation modeling. The paper is a valuable reference for transportation planners and modelers interested in developing data collection enterprises that will feed the next generation of transportation models. Document type: Part of book or chapter of book

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This chapter traced the evolution of the foundations of transport network equilibrium modeling and analysis, with a focus on the principle methodological advances. In particular, an attempt has been made to set out in accessible fashion rigorous approaches to the formulation of a variety of traffic network equilibrium models and to establish relationships between the models as well as those that are closely linked such as spatial price equilibrium models. It should be emphasized that this topic is a very active area of research as well as practice. It should also be highlighted and further emphasized that traffic network equilibrium modeling and analysis provide a powerful framework for decision-making on complex networks. Indeed, given the interrelationships between telecommunications and transportation network’s in today’s network economy, it can be expected further synergies and advances in the study of such foundational networks. Of particular promise are the areas of multicriteria decision-making on networks, multitiered networks, as well as multilevel networks (in the form of transportation/logistical/financial/informational networks), formally referred to as supernetworks. Document type: Part of book or chapter of book

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Abstract\r Purpose — This paper explores the potential of ‘action research’ as transport survey method, with particular emphasis on critically assessing its utility in the resolution of major transport policy challenges, such as the mitigation of climate change and environmental impacts, transport-related social exclusion and intergenerational equity issues. Although not particularly novel within the social sciences, it is an approach that has been largely overlooked within the field of transport studies to date.\r \r Methodology/approach — The paper presents practical examples of where action research has been used to elicit information about people's travel experiences and behaviours and discusses how it achieves different outcomes from other qualitative transport survey methods. It identifies appropriate contexts for action research and explores the skills and techniques to overcome some of the main criticisms of the method. It then evaluates some of the critical challenges of applying an action research approach and identifies potential ways for overcoming these. Finally, it discusses the key challenges for analysis, presentation and dissemination of their action research ‘data’ and potential ways of overcoming these.\r \r Findings — Action research has a long history within the social sciences, dating back to practical problems in wartime situations in Europe and the United States. It can be applied at either the level of individuals, small groups and/or ‘communities’ and organisations, with the expressed aim of bringing together research enquiry and future policy or planned actions (ibid). It provides a useful additional survey technique for policy-makers wishing to understand the detailed process of travel behaviours and barrier to travel at the individual level.\r \r Originality/value of the paper — The action research method is specifically useful for supporting and actively encouraging behaviour change as an integral part of the research process. It has only recently emerged within the literature as a transport survey method. It can be a particularly useful method for developing more collaborative data collection methods research participants enquires and thus enable us to identify their underlying motivations, intentions, perceptions and negotiations, as well as the micro-level impacts of smaller scale transport initiatives. Document type: Part of book or chapter of book

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Abstract\r 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. Document type: Part of book or chapter of book