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Module VIII

Mobility and Transportation Planning

Daily Flows: (M)edium and (L)ong Term

Investigating the flows of people and goods at different time scales to manage, plan and optimise these flows in the context of medium- and long-term policy-making and urban planning

Download Summary Module VIII (PDF 0.7MB)

The flow of people and goods within and through city areas is a fundamental dimension of contemporary urban design, planning and management. How these flows are accommodated and integrated into the fabric of the city impacts profoundly on the health and satisfaction of residents, and the economic prosperity and long-term sustainability of the city. The simulation of such flows, whether macroscopic or microscopic, static or dynamic, trip-based or agent-based, supports the aim of balancing travel demand (mobility needs) and travel supply (infrastructures of mobility). While the interaction between the daily flows and the built environment is well understood in theoretical terms and at larger spatial scales, a more refined understanding of the interactions between the actors who animate the built environment remains elusive.

This module will advance research into this field by addressing the complexity involved in optimising the flow of a diverse range of people and goods at different time scales. It does so by extending and implementing MATSim, an agent-based transportation simulation software (developed at ETH Zürich, TU Berlin and now in Singapore – www.matsim.org), in conjunction with the acquisition of everyday social data drawn from censuses and household interviews. The module will examine medium- and long-term time scales. The medium-term scale starts with the current situation, and addresses issues such as changes in infrastructure, regulation and pricing. The long-term scale refers to more structural kinds of change such as household location choice or the choices of service providers. The insights of this research will be used to improve the understanding of residential, workplace and daily travel and location choice, as well as customer/supplier relationships between firms, and directly inform policy-making in the field of transport planning in Singapore and beyond.

Simulation of public transport supply in Singapore with matsim, video still, video accessible at www. vimeo.com/25122496

Simulation of public transport supply in Singapore with matsim, video still, video accessible at www. vimeo.com/25122496

First multi-agent Transport Simulation implementation of Singapore simulated with matsim, video still with zoom on the central business district, video accessible ar http://www.vimeo.com/24822377

First multi-agent Transport Simulation implementation of Singapore simulated with matsim, video still with zoom on the central business district, video accessible ar http://www.vimeo.com/24822377