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dc.contributor.authorTan, Darren Qin Yuanen_US
dc.identifier.citationTan, D. Q. Y. (2022). Sustainable urban mobility planner (SUMP) for smart cities. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractUrban Mobility data plays a big part in enabling people to move from one location to another. As technology advances, society as a whole shifted towards prioritizing convenience and time over cost, hence resulting in a large majority of commuters preferring to take private transport over public transport. This is detrimental when working towards sustainable urban mobility as private transport vehicles emit much more greenhouse gases as opposed to public transport such as buses [1]. Hence, by analyzing urban mobility data, we will able to find out the price-time trade-off for users when deciding between public or private transport and finally promote the use of public transport. This project aims to create a web application to be able to compare the prices between private and public transport, and recommend to users the most efficient and convenient choice of transport whilst taking into consideration the notion of promoting sustainable yet accessible urban mobility.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleSustainable urban mobility planner (SUMP) for smart citiesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCheng Longen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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