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Network Origin-Demand Estimation Using Percolation (NODE)

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  • David Levinson

    (TransportLab, School of Civil Engineering, University of Sydney)

Abstract

This paper presents a network origin–destination estimation (NODE) method for trip distribution that applies a percolation-like graph search to allocate trips from origins to destinations. Expanding in cost order from each origin, NODE matches productions to available attractions, depleting destination capacities as they are filled. Multiple origins compete for the same destinations; later arrivals may be diverted to more distant alternatives. The result is an OD matrix spatially constrained by network topology and impedance, without a global gravity function or logit structure. NODE can replicate gravity results in some settings, but departs in cases of destination capacity constraints, network bottlenecks, and heterogeneous acceptance, offering a simple, network-aware alternative to conventional models.

Suggested Citation

  • David Levinson, 2026. "Network Origin-Demand Estimation Using Percolation (NODE)," Working Papers paper-2026-05, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:paper-2026-05
    DOI: 10.32866/001c.147387
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    File URL: https://doi.org/10.32866/001c.147387
    File Function: Published version landing page, 2026
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    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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