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pith:VKMBDGZY

pith:2026:VKMBDGZYTUJEG4Z2GJYP4DMXLO
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Macroscopic Activity-Based Modeling of Urban Active Mobility

Adrien Marion, Florian Patout, Romain Aza\"is

A macroscopic model infers urban traveler subpopulation sizes from aggregated sensor counts via attendance functions and Poisson maximum likelihood.

arxiv:2605.13742 v1 · 2026-05-13 · stat.ME · stat.AP

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Grounded in a microscopic stochastic model, the framework offers a scalable and privacy-preserving approach to analyzing urban soft mobility dynamics.

C2weakest assumption

That the newly introduced attendance functions accurately capture real spatio-temporal travel patterns between activities and that the Poisson model plus maximum-likelihood estimation can reliably recover subpopulation sizes from aggregated counts.

C3one line summary

A macroscopic activity-based model estimates urban active mobility from aggregated non-intrusive sensor counts by introducing attendance functions, modeling data as Poisson, and using maximum likelihood with an EM algorithm.

References

38 extracted · 38 resolved · 0 Pith anchors

[1] Akande, Adeoluwa and Cabral, Pedro and Gomes, Paulo and Casteleyn, Sven , journal=. 2019 , publisher= 2019
[2] Banister, David , journal=. 2008 , publisher= 2008
[3] Barbarossa, Luca , journal=. 2020 , publisher= 2020
[4] Bonnel, Patrick and Hombourger, Etienne and Olteanu-Raimond, Ana-Maria and Smoreda, Zbigniew , journal=. 2015 , publisher= 2015
[5] Chandra, Satish and Bharti, Anish Kumar , journal=. 2013 , publisher= 2013
Receipt and verification
First computed 2026-05-18T02:44:16.449227Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aa98119b389d1243733a3270fe0d975ba898da7d09a0ef8e1b0a93701ac1885c

Aliases

arxiv: 2605.13742 · arxiv_version: 2605.13742v1 · doi: 10.48550/arxiv.2605.13742 · pith_short_12: VKMBDGZYTUJE · pith_short_16: VKMBDGZYTUJEG4Z2 · pith_short_8: VKMBDGZY
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VKMBDGZYTUJEG4Z2GJYP4DMXLO \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: aa98119b389d1243733a3270fe0d975ba898da7d09a0ef8e1b0a93701ac1885c
Canonical record JSON
{
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    "abstract_canon_sha256": "90aa1ba6632807df8eae5cc847a2c4b598091acce8c8df10962e308c397a0ed5",
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      "stat.AP"
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2026-05-13T16:19:21Z",
    "title_canon_sha256": "f927017f76a6fb89ab416fbb9f2203b70dd6bb9136f0cef2c4daf411737c131d"
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  "source": {
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    "kind": "arxiv",
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}