Abstract
With the advent of activity-based modelling, transport planners’ focus has shifted from isolated trips to tours. Tours are series of interconnected trips that start and finish at home. There are different types of tours; we focus on two: hwh (start at home; go to work; and then go back home) and hw+wh (where + represents a non-work activity). Tour types introduce a new dimension to the traditional problem of travel mode choice, as the mode choice might be influenced by the type of tour. This study attempts to measure and compare the relationship between tour type and mode choice using three different modelling approaches: Multinomial Logit (MNL); Nested Logit (NL) and Cross-Nested Logit (CNL). We compare each approach using secondary data from a larger survey: 24-h daily activity patterns of 420 commuters between Bekasi and Jakarta; one of the busiest commuting routes in Indonesia. Among other results, we found that gender and income significantly influence commuter’s choice of mode and that reducing travel time and cost can increase the ridership of public transport. Furthermore, the NL and CNL models showed significant improvement over the simpler MNL when grouping the alternatives based on tour types. This points to a significant influence of the tour type on the mode choice. Policy recommendations to increase traveler’s wellbeing are also formulated.
Highlights
As the capital city of Indonesia, Jakarta is a big attraction to the cities surrounding it, such as Bogor, Depok, Tangerang, and Bekasi
This model structure is a two‐level Nested Logit (NL) where the upper level is partitioned of tour type into two nests and the lower level is the joint choice of tour types and travel mode of the commuters
The models were specified to estimate the relationship between tour type and mode choice and influencing attributes of the commuters from Bekasi to Jakarta by considering the travel patterns and socio-demographic data of the respondents
Summary
As the capital city of Indonesia, Jakarta is a big attraction to the cities surrounding it, such as Bogor, Depok, Tangerang, and Bekasi. There are fewer studies of travel behaviour in tour-based mode choice in developing countries [11]. The reason for this might be related to a lack of data relating to either surveys of household travel or traffic pattern and other resource limitations. The tour-based mode choice of the commuters in a developing country will be the emphasis of this study. There is an absence of studies comparing different logit model structures in developing countries. The main aim of this investigation is to develop logit model structures of tour-based mode choice model for commuters in developing countries, from Bekasi to Jakarta.
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