Last-mile Urban Logistics Solutions to address E-commerce Growth (2018-2020)
The rise of e-commerce is changing the way goods are moved, particularly in an urban context. One can expect greater disaggregation of shipments as well as increases in delivery frequencies, which may be particularly disruptive to cities. In this study, we propose to collect data and develop models to design urban logistics management strategies to cope with changing goods transport needs. In collaboration with Singapore-MIT Alliance for Research and Technology Future of Urban Mobility (SMART FM), UPS Singapore and Rytle.
Urban Freight and Heavy Vehicles Study (2016-2019)
Optimizing urban freight transport is a complex socio-technical problem that concerns urban planning, transportation system planning, and infrastructure planning. In this project, we collect data and develop models that assess the traffic and environmental impacts of goods movement in a city. In collaboration with SMART, and partner Singapore government agencies, URA, LTA and JTC.
Collaborative Urban Logistics (2015-2018)
This project evaluates collaborative urban logistics solutions targeting goods deliveries to retail malls, in particular (i) centralized goods receiving stations (in-mall distribution), and (2) offsite freight consolidation centres. See data stories collected from retail mall loading bays here. Project partner: IMDA.
Perceptions and Planning for Future Transportation Technologies (2017-2018)
In this project, we design focus group studies to better understand commuter reactions and attitudes towards future technologies that are expected to enter the Singapore public transportation system landscape in the next 10 years. Project partner: PTC.
Uncertainty and Variation in Life Cycle Assessments (LCA) (2014-2017)
We examine ways to characterize, propagate and communicate uncertainty and variation in current LCA methodology. A data-driven approach is used to construct LCA models of automobiles and building cooling systems.
Alternative Technologies to Diesel (2016)
Assessed the cost and benefits of alternatives to diesel vehicles in Singapore that can reduce local air emissions. Project partners: MEWR and NEA.
Impact of a Delivery Point Network for Urban E-Commerce Deliveries (2016)
With the growth in e-commerce, we evaluated the characteristics of e-commerce deliveries and effectiveness of delivery points such as lockers or retail stores to receive parcels. Project partner: Ninja Van.
Foresight Study on Urban Mobility: Moving Singapore in 2040 (2014-2016)
A study on the future of urban mobility and transportation in Singapore, including an integrated vision for the transport, community and work. One of a series of foresight studies at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC), examining the Future of Cities.
Singapore Road Vehicle Fleet Model (2014)
Vehicle fleet modeling is a useful tool to analyze the dynamics of the rolling stock and their environmental impact at a macroscopic level. A fleet model is constructed for Singapore to explore the environmental impacts of various transportation policies.
Regional Variation in Electric Vehicle (EV) Emissions (2010-2011)
Replacing an internal combustion engine with an electric drivetrain can reduce tailpipe and local emissions. However, the global warming impact may worsen if there are significant carbon emissions upstream during power generation. We compared EVs used across the U.S. and found that not all EVs are green.
Approaches to meet U.S. Fuel Economy Targets (2008-2010)
New fuel economy standards require new U.S. passenger vehicles to achieve at least 34.1 miles per gallon (MPG) by 2016, up from 28.8 MPG in 2010. In this study, the magnitude, combinations and timings of changes required in vehicles to meet the new standards were evaluated.
Material and Energy Impacts of Vehicle Lightweighting (2005-2010)
For a typical car, every 10% reduction in vehicle mass can cut fuel consumption by about 7%. This project explored the material and energy implications of weight reduction on a vehicle life-cycle and vehicle fleet system-level basis.
We thank our sponsors and partners for supporting our work: