An analysis of activity timing and mode choice behavior for fixed time workers

Melawaty Agustien,Harun Al Rasyid S Lubis,Sony S Wibowo,Ade Sjafruddin

doi:10.1051/matecconf/201710105022

Melawaty Agustien, Harun Al Rasyid S Lubis + Show 2 more

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https://doi.org/10.1051/matecconf/201710105022

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Abstract

Generally, the activity based travel demand modeling was resulted from various professions of individuals such as students, workers and non-workers. The model cannot properly represent travel behavior because their characteristics of activities timing and time allocation in a day significantly different. The purpose of this paper is to analyze travel behavior of out of home non-work activities of working groups who have fixed time working hours within a day in location study Palembang City, Indonesia. The effort to explains the travel behavior is conducted through developing activity timing and mode choice model for out of home non work activities. The activity timing and mode choice model are developed as multinomial logit model by adding the utility function of time allocation for non-work activities. There are 9 alternatives in the model in which the alternatives are the combination of 3 activity time schedule and 3 alternative modes. The result of the model significantly reveals that the characteristic of working individuals in deciding certain modes are not only caused by the mode attributes, such as travel time and cost, but also by the type and time allocation for non-working activities related to that travel.

Highlights

One of the advantages of the activity based travel demand model compared to the trip based and tour based approach is the ability of these models explicitly considering the time dimension in its analysis Pas and Harvey (1997), Shiftan Joram et al (2003)
Two dimensions of time are generally considered in the model is the activity timing that shows when the activity performed and time allocation shows how long the activity performed
The number of family members attending school has a negative coefficient estimate and the largest t-statistic. It indicates that the respondents who have more family members attending school tend to have less time availablitity to do non work activities to maximize the utility of the activity time allocation

Summary

Introduction

One of the advantages of the activity based travel demand model compared to the trip based and tour based approach is the ability of these models explicitly considering the time dimension in its analysis Pas and Harvey (1997), Shiftan Joram et al (2003). Research conducted by Fujiwara et al (2010) indicates that the value of the utility of the activity based on the time allocation to do these activities can affect the pattern of travel in one day. Identification of changes in travel patterns made by individuals as a result of changes in the value of the utility of the activity can be used for prediction of the number of travel especially during rush hour morning, noon and evening Yamamoto and Kittamura (2009). Modeling and analysis of the allocation of time is an important element in the development of transportation planning methodology

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