TRANSIT USER TRAVEL BEHAVIOR TOWARD FLOODING DISRUPTION IN DKI JAKARTA (CASE STUDY: JABODETABEK COMMUTER TRAIN LINE BOGOR – JATINEGARA)

• Main Author: Prasasya, Anindita
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/67474
• Institution: Institut Teknologi Bandung

Transit user travel behavior during the transit service disruption, is not fully understandable, especially when perturbation occurs at least expected. With the condition of the impact of climate change being uncertain, transportation disturbances related to weather can disrupt the continuity of public transport services. The biggest climate impact on transportation is urban flooding (IPCC, 2007) which is associated with a high level of flood risk in DKI Jakarta. The dependence of the population in the Jabodetabek area on transit public transportation has begun to increase along with the growth of mobility which is starting to arise rapidly that will be vulnerable if disruption appears to the backbone transit services. This study aims to understand the travel behavior of Jabodetabek KRL users when flood disruption occurs and their preferences for their next trip, combining various factors such as individual-specific latent variables related to perception, as well as socioeconomic and demographic characteristics, travel characteristics, and flood characteristics. By using combination of revealed preference (RP) and stated preference (SP) data through a questionnaire survey of KRL Line Bogor – Jatinegara users in which the line intersects with flood-prone areas and has experience travel disturbances in the last 5 years, user’s responses to flood disruption can be determined. PLSSEM analysis is used to acknowledge the influence of latent variables of psychological factors on travel behavior during floods and the intention to use transit on the next journey. In addition, to find out the right strategy to mitigate the decline in travel demand due to a disruption, a choice modeling analysis during flood using binary logistic regression is also used to identify the probability transit choice during flood disruption based on hypothetical scenario that contains alternatives service attributes. The results of the analysis reveal that the factors which have a direct significant effect on travel behavior are flood experience, emotional level, and perception of information. As for the perception for mitigation, the perception of waiting related to the service environment, the response of travel behavior, and socioeconomic and demographic characteristics also have significant effect on the intention to use transit on the next journey. The probability of using KRL with facilities when flood occurs is 37.99% while 62.01% choose other modes. As for non-captive users, 41.76% chose transit and 58.26% chose other modes. Through sensitivityiv analysis, variables can be intervened to increase the probability of KRL selection area recovery duration (KRL delay), waiting time for bridging bus, availability of information, and availability of wireless internet network. An important finding that can be useful is that waiting times less than 30 minutes can increase the chances of choosing KRL. Several recommendations related to the factors that influence the response of travel behavior and accordance with the needs, are proposed as strategies to increase the probability of transit users sticking to choosing transit services when a flood occurs.