Refining trip starting and ending locations when estimating travel-demand at large urban scale

Jean Krug, Arthur Burianne, Cécile Bécarie and Ludovic Leclercq

Journal of Transport Geography, 2021, vol. 93, issue C

Abstract: Demand estimation is an important step for multiple applications in urban studies. However, the level of accuracy required depends on the objective of the study. In dynamic traffic microsimulation, the estimation of demand needs to be accurate, as it is intended to describe individuals' trips on a very small-scale. In this case, poor estimation of trip initiation, path, and endings could result in the wrong estimation of the city-block scale's traffic state. Estimating demand at a large-scale with high-resolution is not only very challenging because it requires a large volume of data from multiple sources, but the underlying mathematical problem is considerable and thus hard to solve.

Keywords: Urban transportation; Demand downscaling; Microscopic simulation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:93:y:2021:i:c:s0966692321000946

DOI: 10.1016/j.jtrangeo.2021.103041

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