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

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  • Krug, Jean
  • Burianne, Arthur
  • Bécarie, Cécile
  • Leclercq, Ludovic

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.

Suggested Citation

  • Krug, Jean & Burianne, Arthur & Bécarie, Cécile & Leclercq, Ludovic, 2021. "Refining trip starting and ending locations when estimating travel-demand at large urban scale," Journal of Transport Geography, Elsevier, vol. 93(C).
  • Handle: RePEc:eee:jotrge:v:93:y:2021:i:c:s0966692321000946
    DOI: 10.1016/j.jtrangeo.2021.103041
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    References listed on IDEAS

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    1. Henry, Elise & Furno, Angelo & Faouzi, Nour-Eddin El & Rey, David, 2022. "Locating park-and-ride facilities for resilient on-demand urban mobility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).

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