Incorporation of Escorting Children to School in Modeling Individual Daily Activity Patterns of Household Members

Gupta, Surabhi; Vovsha, Peter; Livshits, Vladimir; Maneva, Petya; Jeon, Kyunghwi

doi:10.3141/2429-03

Cited by 15 publications

(11 citation statements)

References 7 publications

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“…According to involved participants and their different intra-household interactions, household activities can be classified into joint, independent and allocated activities [3,6,18]. The study on the joint activity, which typically reflects the intra-household interactions among household members, dominates household activities-related research [8,[44][45][46][47]. The allocated activity is usually not addressed or equivalent to the independent activity in existing research [5,6], since only one household member participates in the activity.…”

Section: Plos Onementioning

confidence: 99%

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A joint model of household time use and task assignment for elderly couples with multiple constraints

2021

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Household time-use patterns are expected to reflect each household member’s daily activity participation and duration with intra-household interactions constrained by multiple budgets. Among various activities, the allocated activity derived from undertaking a household task is studied relatively less in the literature. Who will take an allocated activity is a discrete choice problem of household task assignment, and once a household member is assigned with one household task, other members will have more time to do other activities. To better understand household time-use patterns affected by household task assignment, this paper proposed a joint household-level multiple discrete-continuous extreme value-multinomial logit (MDCEV-MNL) model with multiple constraints. The Karush-Kuhn-Tucker (KKT) method combined with the simulation-based maximum likelihood estimation method is proposed to estimate the proposed model. Based on the household activity-travel data from Beijing of China, the proposed model is customized to explore elderly couples’ time-use patterns with intra-household interactions affected by household task assignment. Following the findings, policy implications are suggested to build an age-friendly society.

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Section: Plos Onementioning

confidence: 99%

“…The elderly couples would like to go shopping or leisure jointly and enjoy the company of each other. Some evidences suggest that the longer time they spend together during non-compulsory activities, the more satisfactions they will gain [ 5 , 45 ].…”

Section: Empirical Analysismentioning

confidence: 99%

A joint model of household time use and task assignment for elderly couples with multiple constraints

2021

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“…The emphasis on understanding the school-commuting behavior can be traced to 1990 in which Hillman et al (1990) reported that the independent mobility of students had sharply dropped from 80 percent to 9 percent between 1971 and 1990 in the UK. More recently, school-commuting behavior has received attention, given its potential link to travel patterns of the parents and other adult household members Gupta et al, 2014).…”

Section: Literature Synthesismentioning

confidence: 99%

Intra-household bargaining for school trip accompaniment of children: A group decision approach

Ermagun

Levinson

2016

Transportation Research Part A: Policy and Practice

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This paper tests a group decision-making model to examine the school travel behavior of students 6-18 years old in the Minneapolis-St. Paul Metropolitan area. The school trip information of 1,737 two-parent families with a student is extracted from Travel Behavior Inventory data collected by the Metropolitan Council between the Fall 2010 and Spring 2012. The proposed model has four distinct characteristics including: (1) considering the student explicitly in the model, (2) allowing for bargaining or negotiation within households, (3) quantifying the intra-household interaction among family members, and (4) determining the decision weight function for household members. This framework also covers a household with three members, namely, a father, a mother, and a student, and unlike other studies it is not limited to dual-worker families. To test the hypotheses we developed two models, each with and without the group-decision approach. The models are separately developed for different age groups, namely students 6-12 and 12-18 years old. This study considered a wide range of variables such as work status of parents, age and gender of students, mode of travel, and distance to school. The findings of this study demonstrate that the elasticities of the two modeling approaches differ not only in the value, but in the sign in some cases. In 63 percent of the cases the unitary household model underestimates the results. More precisely, the elasticities of the unitary household model are as large as 2 times more than that of the group-decision model in 20 percent of cases. This is a direct consequence of model misspecification that misleads both long-and short-term policies where the intra-household bargaining and interaction is overlooked in travel behavior models.

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“…However, although the topic has been widely discussed in the literature, relatively few large-scale applications have been performed. Notable examples of such applications occurred in Portland, Oregon (11), San Francisco, California (12), New York (13), Phoenix and Tucson, Arizona (14,15), the Netherlands (16) and Switzerland (17).…”

mentioning

confidence: 99%

Travel and Emissions Analysis of Sustainable Transportation Policies with Activity-Based Modeling

Shiftan

Kheifits²,

Sorani³

2015

Transportation Research Record: Journal of the Transportation R

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Although activity-based models (ABMs) are starting to be used for metropolitan area transportation planning and policy making, experience is lacking in the use of the wealth of information and measures that such models offer. This paper reports on the implementation of an advanced ABM developed for the Tel Aviv, Israel, metropolitan area to analyze the various transport, activity, and emissions impacts of auto restraint, transit, and land use policies. The policy implications of various scenarios are presented. The results showed that a combination of aggressive pull-and-push measures to encourage more transit and less car use had only marginal impacts on total vehicle kilometers traveled, emissions, and greenhouse gas emissions. Other findings showed no synergic effects and suggested that some policies might have had unintended outcomes. All of the policies tested led to less congestion but increased accessibility at the same time; the increased accessibility attracted more trips to the city. Overall, this study showed that ABMs could provide important advantages in the analysis of various transport policies to improve sustainable transportation development and to enable detailed analyses of the synergic effects of various policies and their impact on many indicators. The paper advances the state of the practice of the use of ABMs for policy analysis, but much more experience and insight are needed on the best way to use the rich information and abundant measures obtained from such models.

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Incorporation of Escorting Children to School in Modeling Individual Daily Activity Patterns of Household Members

Cited by 15 publications

References 7 publications

A joint model of household time use and task assignment for elderly couples with multiple constraints

A joint model of household time use and task assignment for elderly couples with multiple constraints

Intra-household bargaining for school trip accompaniment of children: A group decision approach

Travel and Emissions Analysis of Sustainable Transportation Policies with Activity-Based Modeling

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