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  • Mobility and traffic research  (5)
  • 1
    Online Resource
    Online Resource
    Modeling Interdependence in Household Residence and Workplace Choices
    SAGE Publications ; 2007
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2003, No. 1 ( 2007-01), p. 84-92
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2003, No. 1 ( 2007-01), p. 84-92
    Abstract: Models of residential and workplace location choice prevalent in the literature often assume that one choice dimension is exogenous to the other. But a broad and uniform assumption that one choice dimension is exogenous and influences the other may be too strong to use as the foundation for current behavioral research or applied policy analysis. This paper examines the interdependence of residence and workplace choices and develops a novel approach to modeling these choice dependencies. Two problems related to such joint modeling efforts are addressed. First, through a latent market segment modeling approach, the paper offers a methodology for accommodating different sequential decision-making processes that may be present in the population–for example, residential location may be chosen first and may influence workplace location for one segment and vice versa. Second, the modeling approach offers a means of overcoming the exploding choice set problem when attempting to model multidimensional choice phenomena. The overall aim of the work is to model the structure of the interdependency between the choices that a household makes about residence location and the workplace choices of the workers in the household in the context of an integrated activity location and travel forecasting framework. This paper presents a joint model of residence location and workplace using activity-based travel survey data collected in the Puget Sound region of Washington state in 1999, with novel adaptation of recent methods for incorporating latent market segmentation within discrete choice models.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2003-11
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2007
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Incremental Integration of Land Use and Activity-Based Travel Modeling : Workplace Choices and Travel Demand
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2255, No. 1 ( 2011-01), p. 1-10
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2255, No. 1 ( 2011-01), p. 1-10
    Abstract: Recent advances in activity-based travel modeling and integrated land use and transportation modeling have significantly advanced the understanding of and the capacity to model location choices and travel behavior more realistically. These advances, however, come with greater data requirements, and the risk and the substantial cost involved with adoption of these models have slowed their move to operational use. The purpose of this research was twofold. First, the study addressed one aspect of an incremental approach that more carefully balanced the risks and benefits of moving operational models in new directions: replacement of the choice model of home-based work destination in the four-step travel model system with a pair of choice models at the level of the individual worker. The new choice models were implemented as long-term choices in the linked land use model system. Second, the models were used to provide a way to derive matches between workers and their workplace with commonly available data. These matches complemented synthetic populations and provided a key input for activity-based travel models. The models predicted whether a worker would choose to work at home on a long-term basis; if he or she did not, an out-of-home job was chosen. These models linked an individual worker to a specific job at a workplace and therefore directly predicted commuting patterns. The paper presents the model specifications, estimation results, and results of validation of the models against observed commuting data from the Census Transportation Planning Package. The model reproduced observed commuting flows well, and computational performance was fast, even though the model operated at the level of the individual worker and job.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2255-01
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Safety and Security in Discretionary Travel Decision Making : Focus on Active Travel Mode and Destination Choice
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2430, No. 1 ( 2014-01), p. 47-58
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2430, No. 1 ( 2014-01), p. 47-58
    Abstract: Considerations of whether a travel alternative (e.g., mode, destination) affords a traveler an acceptable level of safety from traffic collisions and personal security from crime may be especially important for active modes of walking and bicycling. Although theory suggests that safety and security influence nonmotorized travel decision making, empirical evidence to support these hypotheses is inconclusive. In addition to measurement limitations and data constraints, safety and security concerns are often inadequately distinguished. This study advances knowledge in this area by analyzing objective safety and security measures within a mode–destination choice context. Discretionary trips from a Portland, Oregon, household travel survey were analyzed with a joint mode–destination choice multinomial logit model. Some measures of traffic safety—more comfortable facilities, sidewalks, traffic signals, and traffic calming installations—were positively associated with walking and bicycling. Measures of a lack of personal security (higher levels of crime) were negatively associated with walking, but this effect was countered by a positive interaction of origin–destination crime on walking. Age and gender rarely moderated these safety and security relationships. Although results provide tentative support of hypotheses on the relationship between safety and security and travel mode choice, more work is needed in this area. Measuring safety and security perceptions and applying more flexible structures for discrete choice modeling might be the most promising avenues for future research on the effects of safety and security in discretionary decision making of active travel. This analysis informs interventions to promote active travel and provides one way to include safety and security concerns in travel demand models.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2430-06
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
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  • 4
    Online Resource
    Online Resource
    Integrated Land Use–Transport Model System with Dynamic Time-Dependent Activity–Travel Microsimulation
    SAGE Publications ; 2012
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2303, No. 1 ( 2012-01), p. 19-27
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2303, No. 1 ( 2012-01), p. 19-27
    Abstract: The development of integrated land use–transport model systems has long been of interest because of the complex interrelationships between land use, transport demand, and network supply. This paper describes the design and prototype implementation of an integrated model system that involves the microsimulation of location choices in the land use domain, activity–travel choices in the travel demand domain, and individual vehicles on networks in the network supply modeling domain. Although many previous applications of integrated transport demand–supply models have relied on a sequential coupling of the models, the system presented in this paper involves a dynamic integration of the activity–travel demand model and the dynamic traffic assignment and simulation model with appropriate feedback to the land use model system. The system has been fully implemented, and initial results of model system runs in a case study test application suggest that the proposed model design provides a robust behavioral framework for simulation of human activity–travel behavior in space, time, and networks. The paper provides a detailed description of the design, together with results from initial test runs.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2303-03
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 2403378-9
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  • 5
    Online Resource
    Online Resource
    Activity Duration Analysis: Discrete-Time Approach for Recurrent Events, Competing Risks, and Multiple States
    SAGE Publications ; 2017
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2664, No. 1 ( 2017-01), p. 42-50
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2664, No. 1 ( 2017-01), p. 42-50
    Abstract: Most existing activity-based travel demand models are typically implemented on a tour-based microsimulation framework. Two approaches are available to describe people’s daily decision-making processes on activity and travel in the activity-based model framework: rubber banding and growing scheduling. The growing-scheduling approach requires a series of linked dynamic discrete choices of activity episodes, locations, and travel modes to build incrementally an entire day’s activity-travel patterns for individuals in households. To incorporate explicitly time dependencies into activity episode choice and duration, a hazard-based duration model in a discrete-time framework is introduced; this framework is essentially the same as a discrete choice model with temporal dummies as the simplest form of dynamic discrete choice models. In the application of the discrete–time duration model to activity duration analysis, complex situations of activity-travel data are considered; these include multiple states of origin activity, competing risks of destination activity, and a multilevel structure for recurrent activity episodes within individuals. In addition, a circular, or periodic, variable is introduced as a combination of sine and cosine to model time-of-day effects.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2664-05
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2403378-9
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