Abstract for: Explaning Future Urban Mobility Mechanisms Using System’s Thinking – A Case Study of Munich and Singapore
Shared mobility is growing among urban commuters around the world with increasing digitization of transportation systems. The further development to shared mobility including public transport is shaped by multiple factors such as city size, population, affordability, mode choices etc. This study attempts to explain the mechanism of an urban transportation system by modeling a high-level system’s view. The model is further expanded for the cities of Munich and Singapore with futuristic scenarios in different use-cases of shared mobility: On-Demand Mobility (ODM) in Munich and Dynamic Autonomous Road Transit (DART) in Singapore. System’s Thinking or System Dynamics (SD) approach is taken using components or basic variables that constitutes an urban mobility system. For example: population, travel demand, mode choices, vehicle population, etc. are the variables that define characteristics of urban mobility. Similarly, energy consumption and emissions are the variables that indicates performance of the system with respect to sustainability goals set by the local authorities. Thus, the cases of Munich and Singapore is further discussed and commented upon with respect to a common urban transportation system’s model.