Intra-household interactions over time: An activity-based approac

H. X. Lai, W. H.K. Lam, C. Bhat, H. Fu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

To jointly predict the dynamic decisions of the household and interactions among members, the household activity-based model is revisited from a time series perspective. A panel nested logit model is proposed with the group decision mechanism, and is calibrated with the data from 2011 Hong Kong Travel Characteristics Survey. In this study, the time dependence of joint activities between household members is empirically discovered. It shows that members who had more joint activities in the past, are likely to have more in the future. In addition, the individual and family taste heterogeneities are also investigated. It was found that the employed household members and students have the largest weights in family decision making. In the households, members of unemployed, retired, and homemakers have the largest extra gain from the joint activities as compared to solo activity participation. Incorporating the time dependence and taste heterogeneity significantly improves the proposed model's goodness-of-fit.

Original languageEnglish
Title of host publicationTransport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
EditorsAnthony Chen, Tony N.N. Sze
PublisherHong Kong Society for Transportation Studies Limited
Pages689-696
Number of pages8
ISBN (Electronic)9789881581464
Publication statusPublished - 1 Jan 2017
Event22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017 - Hong Kong, Hong Kong
Duration: 9 Dec 201711 Dec 2017

Publication series

NameTransport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017

Conference

Conference22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017
CountryHong Kong
CityHong Kong
Period9/12/1711/12/17

Keywords

  • Activity-based model
  • Demand forecasting
  • Discrete choice analysis
  • Social influence
  • Time dependence

ASJC Scopus subject areas

  • Transportation

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