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43
Activity-Based disaggregate travel demand model system with activity schedules
- Transportation Research Part A
, 2000
"... We propose an integrated activity-based discrete choice model system of an individual’s activity and travel schedule, for forecasting urban passenger travel demand. A prototype demonstrates the system concept using a 1991 Boston travel survey and transportation system level of service data. The mode ..."
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Cited by 74 (6 self)
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We propose an integrated activity-based discrete choice model system of an individual’s activity and travel schedule, for forecasting urban passenger travel demand. A prototype demonstrates the system concept using a 1991 Boston travel survey and transportation system level of service data. The model system represents a person’s choice of activities and associated travel as an activity pattern overarching a set of tours. A tour is defined as the travel from home to one or more activity locations and back home again. The activity pattern consists of important decisions that provide overall structure for the day’s activities and travel. In the prototype the activity pattern includes (a) the primary—most important—activity of the day, with one alternative being to remain at home for all the day’s activities; (b) the type of tour for the primary activity, including the number, purpose and sequence of activity stops; and (c) the number and purpose of secondary—additional—tours. Tour models include the choice of time of day, destination and mode of travel, and are conditioned by the choice of activity pattern. The choice of activity 2pattern is influenced by the expected maximum utility derived from the available tour alternatives.
A comprehensive daily activity-travel generation model system for workers
- Transportation Research A
, 2000
"... This paper develops a comprehensive representation to describe the activity-travel pattern of workers and proposes an analysis framework to model the activity-travel attributes identified in the representation. The analysis framework is based on a descriptive examination of activity-travel patterns ..."
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Cited by 55 (18 self)
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This paper develops a comprehensive representation to describe the activity-travel pattern of workers and proposes an analysis framework to model the activity-travel attributes identified in the representation. The analysis framework is based on a descriptive examination of activity-travel patterns of workers from two locations in the U.S. The paper also formulates an econometric methodology to estimate the component of the analysis framework involving the joint modeling of evening commute mode choice, number of evening commute stops, and number of stops after arriving home from work. The methodology is applied to an empirical analysis using data from an activity survey conducted in the Boston Metropolitan area and the effects of a variety of congestion-alleviation measures are examined.
A Retrospective and Prospective Survey of Time-Use Research
- Transportation
, 1999
"... The central basis of the activity-based approach to travel demand modeling is that individuals ' activity-travel patterns are a result of their time-use decisions within a continuous time domain. This paper reviews earlier theoretical and empirical research in the time-use area, emphasizing the ..."
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Cited by 50 (11 self)
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The central basis of the activity-based approach to travel demand modeling is that individuals ' activity-travel patterns are a result of their time-use decisions within a continuous time domain. This paper reviews earlier theoretical and empirical research in the time-use area, emphasizing the need to examine activities in the context or setting in which they occur. The review indicates the substantial progress made in the past five years and identifies some possible reasons for this sudden spurt and rejuvenation in the field. The paper concludes that the field of time-use and its relevance to activity-travel modeling has gone substantially past the "tip of the iceberg", though it certainly still has a good part of the "iceberg " to uncover. Important future areas of research are identified and discussed.
Modeling Household Interactions in Daily In-Home and Out-of-Home Maintenance Activity Participation
, 2004
"... The activity travel patterns of individuals in a household are inter-related, and the realistic modeling of activity-travel behavior requires that these interdependencies be explicitly accommodated. This paper examines household interactions impacting weekday in-home and out-of-home maintenance acti ..."
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Cited by 34 (10 self)
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The activity travel patterns of individuals in a household are inter-related, and the realistic modeling of activity-travel behavior requires that these interdependencies be explicitly accommodated. This paper examines household interactions impacting weekday in-home and out-of-home maintenance activity generation in active, nuclear family, households. The in-home maintenance activity generation is modeled by examining the duration invested by the male and female household heads in household chores using a seemingly unrelated regression modeling system. The out-of-home maintenance activity generation is modeled in terms of the decision of the household to undertake shopping, allocation of the task to one or both household heads, and the duration of shopping for the person(s) allocated the responsibility. A joint mixed-logit hazard-duration model structure is developed and applied to the modeling of out-of-home maintenance activity generation. The results indicate that traditional gender roles continue to exist and, in particular, non-working women are more likely to share a large burden of the household maintenance tasks. The model for out-of-home maintenance activity generation indicates that joint activity participation in the case of shopping is motivated by resource
A Generalized Multiple Durations Proportional Hazard Model with an Application to Activity Behavior During the Work-to-Home Commute
- Transportation Research Part B
, 1996
"... The model developed in this paper generalizes (in the context of multiple exit states from a duration spell) extant competing risk methods which tie the exit state of duration very tightly with the length of duration. In the current formulation, the exit state is modeled explicitly and jointly with ..."
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Cited by 30 (5 self)
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The model developed in this paper generalizes (in the context of multiple exit states from a duration spell) extant competing risk methods which tie the exit state of duration very tightly with the length of duration. In the current formulation, the exit state is modeled explicitly and jointly with duration models for each potential exit state. The model developed here, however, is much more broad in its applicability than only to the competing risk situation; it is applicable to multiple durations arising from multiple entrance states, multiple exit states, or a combination of entrance and exit states. Multiple entrance states occur frequently in many situations, but have received little attention in the literature. Explicit consideration of the entrance state is important even in single or multiple competing risk models in order to accommodate the sample selection in duration based on the no-entry/entry (to the duration spell) outcome. The generalized multiple durations model developed in the paper is applied to an empirical analysis of activity behavior during the return home from work.
Recent methodological advances relevant to activity and travel behavior analysis, paper presented at
- International Association of Travel Behavior Research Conference
, 1997
"... This paper presents an overview of the considerable progress in modeling methodology that has been made in recent years and that is directly relevant to improved transportation policy analysis and travel demand forecasting. The overview is organized under three broad classes of models: discrete choi ..."
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Cited by 22 (5 self)
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This paper presents an overview of the considerable progress in modeling methodology that has been made in recent years and that is directly relevant to improved transportation policy analysis and travel demand forecasting. The overview is organized under three broad classes of models: discrete choice models, hazard-based duration models, and limited-dependent variable models. Because of the objective of the paper, the focus here is on the methodological aspects of various studies rather than on the empirical findings from the studies. Some important methodological topics have necessarily been omitted from this review because of space considerations. We have tried to specifically identify these topics at the beginning of the paper and provide references to recent reviews on these topics. 1
2002) A Continuous-Time Model of Departure Time Choice for Urban Shopping Trips
- Transportation Research Part B
"... This paper proposes a continuous-time hazard duration model for urban shopping trip departure time choice. The time frame for the analysis of departure time is the entire day. The continuous-time model uses a non-parametric baseline hazard distribution, employs a non-parametric representation for th ..."
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Cited by 18 (1 self)
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This paper proposes a continuous-time hazard duration model for urban shopping trip departure time choice. The time frame for the analysis of departure time is the entire day. The continuous-time model uses a non-parametric baseline hazard distribution, employs a non-parametric representation for the time-varying effect of covariates, and accommodates time-varying covariates. These econometric issues are important to recognize and consider in a departure time model spanning the entire day. The model also accommodates unobserved heterogeneity and recognizes the "rounding " of reported departure times by individuals in surveys to an integral multiple of five minutes. The continuous-time model is estimated using shopping trip data from the 1996 activity survey collected in the Dallas-Fort Worth metropolitan area. The effects of individual and household socio-demographics, employment attributes, and trip-related characteristics on departure time choice are presented and discussed. Application of the continuous-time model to forecast temporal shifts in shopping trip-making due to changes in socio-demographic characteristics and trip-chaining behavior is demonstrated. The use of the formulation as a powerful evaluation tool to manage and influence traffic patterns through dynamic congestion pricing control schemes is also highlighted.
Modeling the Commute Activity-Travel Patterns of Workers: Formulation and Empirical Analysis
- Transportation Science
, 2001
"... This paper proposes a methodological framework to analyze the activity and travel pattern of workers during the evening commute. The framework uses a discrete-continuous econometric system to jointly model the decision to participate in an activity during the evening commute and the following attrib ..."
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Cited by 15 (9 self)
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This paper proposes a methodological framework to analyze the activity and travel pattern of workers during the evening commute. The framework uses a discrete-continuous econometric system to jointly model the decision to participate in an activity during the evening commute and the following attributes of the participation: activity type, activity duration, and travel time deviation to the activity location relative to the direct travel time from work to home. The model parameters are estimated using a sample of workers from the 1991 Boston Household Activity Survey. The paper also presents the mathematical expressions to evaluate the effect of changes in socio-demographic variables and policy-relevant exogenous variables on the temporal pattern of trips and cold starts due to commute stops. The application of the model indicates that failure to accommodate the joint nature of the activity decisions during the evening commute can lead to misdirected policy actions for traffic congestion alleviation and for mobile-source emissions reduction. 1Introduction The analysis of commute trip patterns has always been of considerable interest in the
Intershopping duration: an analysis using multiweek data. Forthcoming in Transportation Research
, 2002
"... This study examines the rhythms in the shopping activity participation of individuals over a multiweek period by modeling the duration between successive shopping participations. A hazard based duration model is used to model intershopping duration, and a latent segmentation method is applied to dis ..."
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Cited by 15 (6 self)
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This study examines the rhythms in the shopping activity participation of individuals over a multiweek period by modeling the duration between successive shopping participations. A hazard based duration model is used to model intershopping duration, and a latent segmentation method is applied to distinguish between erratic shoppers and regular shoppers. The paper applies the methodology to examine the regularity and frequency of shopping behavior of individuals using a continuous six-week travel survey collected in the cities of Halle and Karlsruhe in Germany in the fall of 1999. The empirical results underscore the need to adopt a flexible hazard model form for analyzing intershopping durations. The results also provide important insights into the determinants of the regularity and frequency of individuals ’ shopping activity participation behavior.
