Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems

Axhausen, Kay W.; Gärling, Tommy

doi:10.1080/01441649208716826

Cited by 464 publications

(189 citation statements)

References 29 publications

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“…Other dimensions of activity/travel behavior, such as the duration of specific activities, have remained underexposed (Levinson, 1999;. This is remarkable given the fact that peopleÕs travel behavior is derived from their participation in activities that are separated in space in time (Axhausen and G€ a arling, 1992). It can thus be argued that, for a deeper understanding of the relationship between travel patterns and urban form, the activities pursued at travel destinations should be considered in addition to the travel behavior itself.…”

Section: Introductionmentioning

confidence: 99%

The determinants of shopping duration on workdays in The Netherlands

Schwanen

2004

Journal of Transport Geography

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While many studies of the duration of shopping episodes have considered the impact of sociodemographic variables, such as gender or income, few if any have considered spatial variation in the duration of shopping activities. This paper reports a study seeking to establish how the duration of shopping episodes varies with characteristics of the built environment in addition to other factors that are claimed to influence the duration of shopping episodes--temporal constraints, the monetary budget available and the activity/travel context of the shopping activity. The data used are derived from working male and female heads of household included in the 1998 Netherlands National Travel Survey. The results indicate that shopping duration on workdays is affected by temporal constraints, the activity/travel episodes conducted before or after the shopping activity, and the urban setting in which they are executed. Shopping episodes on workdays tend to take more time as the degree of urbanization of the urban setting is higher; the magnitude of this effect varies, however, with the time of day and gender.

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Section: Introductionmentioning

confidence: 99%

The determinants of shopping duration on workdays in The Netherlands

Schwanen

2004

Journal of Transport Geography

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“…Adler and Ben-Akiva first introduced the activity duration and activity scheduling concepts [1], while Bowman and Ben-Akiva presented the first full-day model which integrates the activity participation decision for all activities and travels spanning a day, including the dimensions of destinations, modes and timing of the derived travel [9]. The activity-based travel theory has been widely discussed in the literature; significant reviews were provided by Damm [15], Golob and Golob [20], Pas [30], Kitamura [26], Jones [25], Axhausen and Garling [4], Ettema and Timmermans [18]. An historical development of the activity-based models has been recently proposed by Bowman [8].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An activity-based system of models for student mobility simulation

Mazzulla

2009

Eur. Transp. Res. Rev.

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Purpose The objective of this paper is to provide a tool for transport system planning. Therefore, a system of models for student mobility simulation on a university campus is proposed. Methods An activity-based approach has been adopted. The system of models is sequential, in which each choice dimension is linked to the previous one and involves the choices made at a lower level, and it is made up of multinomial and hierarchical Logit models. Additionally, the Revealed and Stated preferences technique has been adopted for investigating user choice behaviour in the hypothesis that an innovative transport system is realized to access the campus. Conclusions The proposed system of models adopt the activity-based travel approach combined with the conjoint use of the RP and SP methodologies, allowing a better understanding and prediction of users responses to travel demand management measures. The model structure is very realistic for student mobility simulation, helping the analyst in evaluating the effects of park pricing policies and the introduction of a new transport system in the travel users choices.

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“…We adopt a holistic framework that recognises that individuals, households and even businesses need and desire to participate in activities -and participation in these activities generates travel (Recker et al 1986;Axhausen & Gärling 1992;Ben-Akiva et al 1996, Moktahrian & Salomon 2001. We assume that in future people will continue to need and desire to participate in such activities, but this participation, and the travel generated by it, may be influenced by social and economic factors and future technologies.…”

Section: Selecting Key Technologiesmentioning

confidence: 99%

Travel in Britain in 2035: Future scenarios and their implications for technology innovation

Rohr¹,

Ecola²,

Zmud³

et al. 2016

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Future scenarios and their implications for technology innovationFor more information on this publication, visit www.rand.org/t/RR1377Published by the RAND Corporation, Santa Monica, Calif., and Cambridge, UK R ® is a registered trademark. © 2016 Innovate UKRAND Europe is a not-for-profit organisation whose mission is to help improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the sponsor.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org www.randeurope.org iii Preface RAND Europe, in collaboration with Risk Solutions and Dr Johanna Zmud from the Texas A&M Transportation Institute, was commissioned by Innovate UK to develop future travel scenarios for 2035, considering possible social and economic changes and exploiting key technologies and innovation in ways that could reduce congestion. The purpose of this independent research is to explore and examine how new technologies may infl uence travel and to facilitate discussion about how transport can be more effi cient in future. In no way are the fi ndings intended to refl ect the views, opinions or policy of Innovate UK or the UK Government.The scenario methodology focuses on identifying the potential impact of critical factors and technologies on fi ve activities and the travel associated with them -undertaking work and business, shopping, seeking healthcare, making long-distance journeys for work or leisure, and freight activity. It combines expert opinion, gathered via in-person workshops, with crossimpact analysis, consistency analysis and cluster analysis. The scenarios are then used to identify innovation investments and policies that provide benefi ts across the range of possible futures.This report describes the main aspects of the study: the identifi cation of key future technologies, the development of the scenarios, and the fi ndings from interviews with experts about what the scenarios may mean for innovation and policy priorities. It may be of use to policymakers or researchers who are interested in future travel and the infl uence of technology.RAND Europe is a not-for-profi t organisation whose mission is to help improve policy and decisionmaking through research and analysis. RAND Europe's clients include European governments, institutions, NGOs and fi rms with a need for rigorous, independent, multidisciplinary analysis.

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Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems

Cited by 464 publications

References 29 publications

The determinants of shopping duration on workdays in The Netherlands

The determinants of shopping duration on workdays in The Netherlands

An activity-based system of models for student mobility simulation

Travel in Britain in 2035: Future scenarios and their implications for technology innovation

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