Household maintenance such as childcare not only induces activities and travel but also impose time constraints on individuals’ participation in other activities and travel. Instead of sharing household responsibilities, households may hire domestic helpers for household maintenance. Alternatively, they may get helps from members of the extended family such as parents of household heads. This paper develops a model to analyze households’ trade-offs between hiring domestic helpers for household maintenance and taking these responsibilities by household members. We will apply household economic theories to develop a time allocation model incorporating interactions among household members. We assume that households trade off the money they are willing to spend for hiring helpers with the time they may need to spend for household maintenance activities to maximize utilities, subject to time constraints. The model may be used to analyze the impacts of domestic helpers on household members’ time allocation to subsistence, maintenance and recreation activities. It may also be applied to analyze the impacts of government policies regarding the minimum salary of domestic helpers and the change of household members’ wage rates on households’ decision to hire helpers. The paper extends the current literature on intra-household activity–travel interactions by considering external helps from domestic helpers, which may contribute to the understanding of activity–travel patterns of household members. 相似文献
Transportation - Investigation into the long-term trends in travel behavior is crucial for strategic development of transport systems and decisions about investment in transport infrastructures.... 相似文献
The influence of the built environment on travel behavior has been the subject of considerable research attention in recent decades. Scholars have debated the role of residential self-selection in explaining the associations between the built environment and travel behavior. The purpose of this study is to make a contribution to the literature by adopting the cross-lagged panel modeling approach to analyze a panel data, which scholars have recommended as the ideal design for studying the influence of the built environment on travel behavior accounting for the residential self-selection. To that objective, we collected activity-travel diary data from a sample of 229 households in Beijing before and after they moved from one residential location to another. We developed a two-wave structural equation model linking the residential built environment to travel behavior and taking into consideration travel-related attitudes before and after residential change. The modeling results show that individuals’ travel attitudes may change after a home relocation. We found no evidence of residential self-selection, but significant influence of the built environment on travel preference. Nevertheless, the direct influence of travel preference on travel behavior seems to be stronger than that of the built environment. As one of the very few studies to use panel data, this research presents new insights into the relationship between the built environment and travel behavior and the role of residential self-selection.
Most existing activity-based models have been developed from revealed preference data. This paper introduces an approach to developing activity-based models from stated preference data. We focus on activity behavior as a multi-facet choice process to decide where and in what sequence to conduct activities, i.e., choice of destination and choice of stop pattern. A design strategy is developed to generate choice experiments that allow the estimation of multi-facet models of activity behavior. The results of an empirical application are reported. The experience and results obtained indicate that the proposed approach does provide a stated preference alternative to the revealed preference approach in developing multi-facet models of activity behavior. 相似文献
The objective of this paper is to contribute an empirical study to the literature on transportation impacts of Information
and Communications Technologies (ICT). The structural equation model (SEM) is employed to analyze the impacts of ICT usage
on time use and travel behavior. The sample is derived from the travel characteristic survey conducted in Hong Kong in 2002.
The usage of ICT is defined as the experience of using e-mail, Internet service, video conferencing and videophone for either
business or personal purposes. The results show that the use of ICT generates additional time use for out-of-home recreation
activities and travel and increases trip-making propensity. Individuals at younger age or with higher household income are
found to be more likely ICT users. The findings of this study provide further evidence on the complementarity effects of ICT
on travel, suggesting that the wide application of ICT probably leads to more, not less, travel. The study also demonstrates
the importance of considering the interactions between activity and travel for better understanding of the nature and magnitude
of the impacts of ICT on time use and trip making behavior. 相似文献