Pith Number

pith:EO5UX4E6

pith:2026:EO5UX4E6WKSWSTDBKM22MYTJSD

not attested not anchored not stored refs resolved

Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation

Chiharu Shima, Fukuharu Tanaka, Haruki Yonekura, Hirozumi Yamaguchi, Tatsuya Amano

A digital twin of visitor flows predicts mobility introduction effects by adjusting distances and attractiveness in a trained multi-agent simulator.

arxiv:2605.17426 v1 · 2026-05-17 · cs.MA · cs.LG

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

When reproducing flows with mobility introduction using a multi-layer perceptron decision model, the cosine similarity of the spatial population distribution exceeded 0.7, confirming that the approach can replicate the flow changes caused by the mobility introduction.

C2weakest assumption

That modifying only inter-spot distances or spot attractiveness inside the trained simulator is sufficient to model the behavioral effects of real mobility introduction measures, without other unmodeled factors altering visitor choices.

C3one line summary

A multi-agent simulator trained on pre-mobility visitor choice data predicts post-mobility spatial distributions in Wakayama Castle Park with cosine similarity above 0.7 by modifying distances or attractiveness.

References

28 extracted · 28 resolved · 0 Pith anchors

[1] Shared e-scooter micromobility: review of use patterns, perceptions and environmental impacts, 2023

[2] Tourists on shared bikes: Can bike- sharing boost attraction demand? 2021

[3] Large-scale agent- based simulation model of pedestrian traffic flows, 2023

[4] Integrating discrete choice models with matsim scoring, 2021

[5] A data-driven framework for the safe integration of micro-mobility into the transport system: Comparing bicycles and e-scooters in field trials, 2022

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:57.931565Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

23bb4bf09eb2a5694c615335a6626990d8f5cb86d5363d3a1b79b0e32850626d

Aliases

arxiv: 2605.17426 · arxiv_version: 2605.17426v1 · doi: 10.48550/arxiv.2605.17426 · pith_short_12: EO5UX4E6WKSW · pith_short_16: EO5UX4E6WKSWSTDB · pith_short_8: EO5UX4E6

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/EO5UX4E6WKSWSTDBKM22MYTJSD \
  | 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: 23bb4bf09eb2a5694c615335a6626990d8f5cb86d5363d3a1b79b0e32850626d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2d02167589f39cbdcb51bb7cf8397e564bfc342a1cdb1803f6d77570e0803963",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.MA",
    "submitted_at": "2026-05-17T12:43:14Z",
    "title_canon_sha256": "a81c434722a79a1fca4e71ba9879a4bd5a47612630f3285472e086fa4d373979"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17426",
    "kind": "arxiv",
    "version": 1
  }
}