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79
2008. The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics
- and Gasoline Prices on Household Vehicle Holdings and Use. Transportation Research Part B
"... In this paper, we formulate and estimate a nested model structure that includes a multiple discrete-continuous extreme value (MDCEV) component to analyze the choice of vehicle type/vintage and usage in the upper level and a multinomial logit (MNL) component to analyze the choice of vehicle make/mode ..."
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Cited by 28 (10 self)
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In this paper, we formulate and estimate a nested model structure that includes a multiple discrete-continuous extreme value (MDCEV) component to analyze the choice of vehicle type/vintage and usage in the upper level and a multinomial logit (MNL) component to analyze the choice of vehicle make/model in the lower nest. Data for the analysis is drawn from the 2000 San Francisco Bay Area Travel Survey. The model results indicate the important effects of household demographics, household location characteristics, built environment attributes, household head characteristics, and vehicle attributes on household vehicle holdings and use. The model developed in the paper is applied to predict the impact of land use and fuel cost changes on vehicle holdings and usage of the households. Such predictions can inform the design of proactive land-use, economic, and transportation policies to influence household vehicle holdings and usage in a way that reduces the negative impacts of automobile dependency such as traffic congestion, fuel consumption and air pollution.
An analysis of the determinants of children’s weekend physical activity participation
- Department of Civil Engineering, The University of Texas at Austin
, 2005
"... This paper examines the out-of-home, weekend, time-use patterns of children aged 5 through 17 years, with a specific emphasis on their physical activity participation. The impact of several types of factors, including individual and household demographics, neighborhood demographics, built environmen ..."
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Cited by 25 (13 self)
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This paper examines the out-of-home, weekend, time-use patterns of children aged 5 through 17 years, with a specific emphasis on their physical activity participation. The impact of several types of factors, including individual and household demographics, neighborhood demographics, built environment characteristics, and activity day variables, on physical activity participation is analyzed using a joint nested multiple discrete-continuous extreme value-binary choice model. The sample for analysis is drawn from the 2000 San Francisco Bay Area Travel Survey. The model developed in the paper can be used to assess the impacts of changing demographics and built environment characteristics on children’s physical activity levels.
A Joint Model for the Perfect and Imperfect Substitute Goods Case: Application to Activity Time-Use Decisions
- Transportation Research Part B
, 2006
"... This paper formulates a model for the joint analysis of the imperfect and perfect substitute goods case. That is, it enables the modeling of choice situations where consumers choose multiple alternatives at the same time from a certain set of alternatives, but also choose only one alternative from a ..."
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Cited by 21 (14 self)
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This paper formulates a model for the joint analysis of the imperfect and perfect substitute goods case. That is, it enables the modeling of choice situations where consumers choose multiple alternatives at the same time from a certain set of alternatives, but also choose only one alternative from among a subset of alternatives. For example, in the context of time-use in leisure activity, individuals may participate in combinations of social, out-of-home recreation, and out-of-home non-maintenance shopping pursuits. These three activity types are imperfect substitutes in that they serve different functional needs of individuals and households. However, if an individual participates in out-of-home recreation, s/he may participate in only one of physically passive activities (for example, going to the movies), partially physically active activities (going to the beach or participating in spectator sports), or physically active activities (for example, working out at a gym) during a given time period (such as a weekday or a weekend day). To our knowledge, this paper is the first to consider a unified utility-maximizing framework for the analysis of such a joint imperfect-perfect substitute goods case in the economic literature.
2009) Residential self-selection effects in an activity time-use behavior model
- Transportation Research Part B
"... This study presents a joint model system of residential location and activity time-use choices that considers a comprehensive set of activity-travel environment (ATE) variables, as well as sociodemographic variables, as determinants of individual weekday activity time-use choices. The model system t ..."
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Cited by 19 (6 self)
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This study presents a joint model system of residential location and activity time-use choices that considers a comprehensive set of activity-travel environment (ATE) variables, as well as sociodemographic variables, as determinants of individual weekday activity time-use choices. The model system takes the form of a joint mixed Multinomial Logit–Multiple Discrete-Continuous Extreme Value (MNL–MDCEV) structure that (a) accommodates differential sensitivity to the ATE attributes due to both observed and unobserved individual-related attributes, and (b) controls for the self selection of individuals into neighborhoods due to both observed and unobserved individual-related factors. The joint model system is estimated on a sample of 2793 households and individuals residing in Alameda County in the San Francisco Bay Area. The model results indicate the significant presence of residential self-selection effects due to both observed and unobserved individual-related factors. For instance, individuals from households with more bicycles are associated with a higher preference for out-of-home physically active pure recreational travel pursuits (such as bicycling around in the
An Analysis of the Social Context of Children’s Weekend Discretionary Activity Participation
- Transportation
, 2007
"... This paper examines the discretionary time-use of children, including the social context of children’s participations. Specifically, the paper examines participation and time investment in in-home leisure as well as five different types of out-of-home discretionary activities: (1) shopping, (2) soci ..."
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Cited by 18 (13 self)
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This paper examines the discretionary time-use of children, including the social context of children’s participations. Specifically, the paper examines participation and time investment in in-home leisure as well as five different types of out-of-home discretionary activities: (1) shopping, (2) social, (3) meals, (4) passive recreation (i.e., physically inactive recreation, such as going to the movies or a concert), and (5) active recreation (i.e., physically active recreation, such as playing tennis or running). The social context of children’s activity participation is also examined by focusing on the accompanying individuals in children’s activity engagement. The accompanying arrangement is classified into one of six categories: (1) alone, (2) with mother and no one else, (3) with father and no one else, (4) with both mother and father, and no one else, (5) with other individuals, but no parents, and (6) with other individuals and one or both parents. The utility-theoretic Multiple Discrete-Continuous Extreme Value (MDCEV) is employed to model time-use in one or more activity purpose-company type combinations. The data used in the analysis is drawn from the 2002 Child Development Supplement (CDS) to the U.S. Panel Study Income Dynamics (PSID). The results from the model can be
2010): Estimation of water demand in developing countries: An overview
- World Bank Research Observer 25 (2): 263
"... A better understanding of household water use in less developed countries (LDCs) is necessary to manage and expand water systems more effectively. Several meta-analyses have examined the determinants of household water demand in industrialized countries, but little effort has been made to synthesize ..."
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Cited by 13 (0 self)
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A better understanding of household water use in less developed countries (LDCs) is necessary to manage and expand water systems more effectively. Several meta-analyses have examined the determinants of household water demand in industrialized countries, but little effort has been made to synthesize the growing body of literature evaluating household water demand in LDCs. This article reviews what is known and what is missing from that literature thus far. Analysis of demand for water in LDCs is complicated by abundant evidence that, contrary to what is observed in most developed countries, households in LDCs have access to and may use more than one of several types of water sources. We describe the different modeling strategies that researchers have adopted to estimate water demand in LDCs, and discuss issues related to data collection. The findings from the literature on the main determinants of water demand in LDCs suggest that despite heterogeneity in places and time periods studied, most estimates of own price elasticity of water from private connections are in the range of –0.3 to –0.6, close to what is usually reported for industrialized countries. The empirical findings on household water source decisions are much less robust and should be a high priority for future research. 1
A flexible spatially dependent discrete choice model: formulation and application to teenagers’ weekday recreational activity participation. Transportation Research Part B
"... This study proposes a simple and practical Composite Marginal Likelihood (CML) inference approach to estimate ordered-response discrete choice models with flexible copula-based spatial dependence structures across observational units. The approach is applicable to data sets of any size, provides sta ..."
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Cited by 10 (4 self)
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This study proposes a simple and practical Composite Marginal Likelihood (CML) inference approach to estimate ordered-response discrete choice models with flexible copula-based spatial dependence structures across observational units. The approach is applicable to data sets of any size, provides standard error estimates for all parameters, and does not require any simulation machinery. The combined copula-CML approach proposed here should be appealing for general multivariate modeling contexts because it is simple and flexible, and is easy to implement The ability of the CML approach to recover the parameters of a spatially ordered process is evaluated using a simulation study, which clearly points to the effectiveness of the approach. In addition, the combined copula-CML approach is applied to study the daily episode frequency of teenagers ’ physically active and physically inactive recreational activity participation, a subject of considerable interest in the transportation, sociology, and adolescence development fields. The data for the analysis are drawn from the 2000 San Francisco Bay Area Survey. The results highlight the
Recent Progress on Endogeneity in Choice Modeling
"... We describe recent progress in several areas related to endogeneity, including: choice set formation and attention to attributes; interactions among decision-makers; respondents ’ strategic behavior in answering stated preference choices; models of multiple discrete/continuous choice; distributions ..."
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Cited by 8 (0 self)
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We describe recent progress in several areas related to endogeneity, including: choice set formation and attention to attributes; interactions among decision-makers; respondents ’ strategic behavior in answering stated preference choices; models of multiple discrete/continuous choice; distributions of willingness-to-pay; and methods for handling traditionally endogenous explanatory variables. Keywords: choice models, endogeneity, choice experiments
An Analysis of Weekly Out-of-Home Discretionary Activity Participation and Time-Use Behavior. Transportation (Forthcoming
, 2009
"... Activity-travel behavior research has hitherto focused on the modeling and understanding of daily time use and activity patterns and resulting travel demand. In this particular paper, an analysis and modeling of weekly activity-travel behavior is presented using a unique multi-week activity-travel b ..."
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Cited by 5 (2 self)
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Activity-travel behavior research has hitherto focused on the modeling and understanding of daily time use and activity patterns and resulting travel demand. In this particular paper, an analysis and modeling of weekly activity-travel behavior is presented using a unique multi-week activity-travel behavior data set collected in and around Zurich, Switzerland. The paper focuses on six categories of discretionary activity participation to understand the determinants of, and the inter-personal and intra-personal variability in, weekly activity engagement at a detailed level. A panel version of the Mixed Multiple Discrete Continuous Extreme Value model (MMDCEV) that explicitly accounts for the panel (or repeated-observations) nature of the multi-week activity-travel behavior data set is developed and estimated on the data set. The model also controls for individual-level unobserved factors that lead to correlations in activity engagement preferences across different activity types. To our knowledge, this is the first formulation and
