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.

After the Jakarta government enacted a policy to improve air quality in high-priority areas and established Low Emission Zone (LEZ) in the Kota Tua Tourism Area (KTTA), there is now a plan to replicate this LEZ in other locations. However, the current scale of the LEZ in the KTTA and the ongoing issues with public acceptance, raise the question of how the Jakarta Government effectively replicates this policy in other locations. This study aims to explore the socio-psychological factors that affect acceptability and restriction preference (i.e., type of vehicle and strategies) on LEZ replication in Jakarta. For those purposes, questionnaires were distributed to the commuters in Jakarta, and hierarchical Structural Equation Modeling (SEM) and Multinomial Logistics Regression (MNL) were used to analyze the data. The support for LEZ expansion to other locations was found to be shaped by the trust of the government, the level of environmental concern, and personal and social norms concerning LEZ implementation. The perception of the form of full-scale restriction (i.e., combinations of the vehicle types to be restricted and/or the TDM strategies) that should be implemented within the LEZ area is associated with higher acceptability and environmental concern. Moreover, younger and wealthier people are among the groups who are more concerned about the effectiveness of LEZ implementation.

The Bali Government has made the implementation of the electric vehicle (EV) policy a high priority considering its attractiveness for emission and air pollution reduction to maintain the sustainability of Bali’s nature and tourism sector. Considering the uniqueness of the tourism sector in Bali and the mobility it generates, this study aims to investigate the factors that influence EV use by tourists based on several scenarios for estimating EV share target and the emission reduction contributed. For those purposes, the stated choice questionnaire was distributed online and offline to tourists in Bali and analyzed using the multinomial logit (MNL) model. While the study done during pandemic times, where the number of the tourist is significantly decreasing and the travel behavior influenced by mobility restriction imposed by the government, the data collection still covered mobility of both international and domestic tourist. The survey found that rental cost and accessibility, as well as the quality of charging stations are factors that affect EV use by tourists. Motorcycle parking cost was also found to influence EV use. These findings align with previous studies, and interventions such as fiscal incentives for rental companies and infrastructure development are suggested similar to EV incentives implemented in China, India, or the US. The development of the low emission zone (LEZ) is also proposed to manage parking fares similar to what was implemented in London, specifically to push the shift from internal combustion engine (ICE) to EV. Based on emission inventory calculation, 1.9 million kg of potential annual CO₂ can be prevented with the implementation of these policies by the government.