Day-to-day people decide to travel, consist of how much for travel, what type of mode travel to be used, and where, when and with whom the travel and activity will share or conducted that activity to fulfil their need and desired which influence on their health performance. This research aimed to estimate the correlation among four variables: socio-demographics, travel parameter, activity participation (time use), and perceived travel time to various public amnesties' effect on their social and mental health. This study used data from people in Malang City Area was collected in 2019 and consisted of 337 participants aged seven or above on weekdays. The multilevel modelling effect model was used to analyze the factors influencing the social and mental health of daily life among individuals tracked in Malang City Are mainly to investigate the associations between the variables. The model can propose to advance the policies that link transport, social life and land use policy with transportation and health policy to bring a better life. © 2023 Author(s).