ANALYSIS OF OPPORTUNITIES THE ACTIVE TRANSPORTATION MODES CHOICE FOR COMMUNITY FIRST – LAST MILE TRIPS AFTER PANDEMIC COVID-19 (CASE STUDY: DKI JAKARTA)

• Main Author: Rabbani Priyandianto, Naufal
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/68626
• Institution: Institut Teknologi Bandung

For more than 2 (two) decades, the city's transportation system has developed to become more dependent on private motorized vehicles in DKI Jakarta. Where 75% of the 27.5 million people's trips/ day use motorbikes (50.8%) and cars (23.9%). The high level of motor vehicle travel consistently causes impacts that occur, such as the increasing need for roads that will eliminate the need for space for other modes of transportation, increasingly ineffective land use patterns, traffic congestion, increasing air pollution to declining population health. Therefore, now DKI Jakarta has adapted to the development of transportation in the future by changing the paradigm by prioritizing active transportation (walking and cycling) in the first place, second mass public transportation, third emission-free vehicles. DKI Jakarta plans to reduce the use of private cars and motorcycles by developing sustainable transportation, especially the integration of active travel modes with public transportation. In fact, DKI Jakarta continues to increase investment in the development of active transportation infrastructure around public transportation node areas, such as Transjakarta Bus stops, Mass Rapid Transit (MRT) stations and trains. Several empirical studies on the impact of the COVID-19 pandemic on the transportation sector show that a large decrease in mobility has significantly changed the pattern of travel modes from public transportation to an increase in the use of cars and motorcycles again, as well as active transportation. This happened with an increase in the average bicycle usage rate by 150% and a significant increase in the average pedestrian by 55%. This phenomenon is considered a culture of mobility and a new normal lifestyle. Limited choice of transportation modes, concerns about the spread of the virus, and the importance of health (endurance) are the main reasons for active transportation as the main choice for traveling, especially in the context of first last mile. The existence of active transportation and the reinstatement of public transportation are efforts to reduce dependence on cars and motorcycles. Therefore, this study aims to investigate the opportunities for the use of active modes of transportation for firstlast mile travel. This research uses a mixed method, namely qualitative and quantitative methods in the process of data collection and analysis which aims to give a careful picture of the circumstances and conditions that occur with data collection techniques through 3 ways, namely literature review, observation and v questionnaires. This study will explore the factors that influence the selection of transportation modes using binary logistic regression analysis. Based on the analysis carried out, there was a change in people's travel behavior patterns before, and during COVID-19 pandemic, especially for work and school activities changing to shopping and exercising. The frequency and mode of individual travel also significant changes of around 55%, where before the pandemic people traveled 5-6 times a week by public transportation modes, while during the pandemic people traveled 1-2 times a week with private transportation modes. On first-last mile trips, as many as 60% of people choose to use motorized transportation modes for early or first mile trips due to fast and distance considerations, while final trips or last mile as many as 65% choose active transportation due to easy, cheap, healthy and distance considerations. Findings from the results of people's characteristics and travel patterns in the situation before and during the COVID-19 pandemic, then became the factors considered in the correlation analysis. Based on the correlation analysis carried out, there are 7 consideration factors for the selection of the initial or first mile travel mode with an active transportation probility of 22.60% and there are 11 consideration factors for the selection of the final or last mile route mode with a probability of active transportation of 80.03%