Pith Number

pith:AOBH4J6Y

pith:2026:AOBH4J6YX3LZXUA4MDOPZBWIGY

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Context-Aware Displacement Estimation from Mobile Phone Data: A Methodological Framework

Muhammad Rheza Muztahid, Radityo Eko Prasojo, Rajius Idzalika

Mobile phone location data can estimate disaster-induced population displacement more accurately by classifying users as residents or commuters and adjusting for expected daily movements.

arxiv:2604.21457 v2 · 2026-04-23 · cs.CY · cs.SI · stat.AP

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4 Citations open

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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

We present a methodological framework addressing this through three innovations: (1) mobility profile classification distinguishing local residents from commuter types, (2) context-aware between-municipality displacement detection accounting for expected location by user type and day of week, and (3) operational uncertainty bounds derived from baseline coefficient of variation with a disaster adjustment factor.

C2weakest assumption

That pre-disaster mobile data patterns reliably define 'expected' locations for each user type and that the commuter classification correctly separates regular cross-border movement from disaster-induced displacement.

C3one line summary

A methodological framework that classifies users into mobility types and uses day-of-week context to detect true between-municipality displacement from mobile data, producing scaled rates with uncertainty bounds.

Receipt and verification

First computed	2026-07-08T01:18:28.952437Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

03827e27d8bed79bd01c60dcfc86c8361af475d9320f8a18d2c5dce455e6ccdb

Aliases

arxiv: 2604.21457 · arxiv_version: 2604.21457v2 · doi: 10.48550/arxiv.2604.21457 · pith_short_12: AOBH4J6YX3LZ · pith_short_16: AOBH4J6YX3LZXUA4 · pith_short_8: AOBH4J6Y

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/AOBH4J6YX3LZXUA4MDOPZBWIGY \
  | 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: 03827e27d8bed79bd01c60dcfc86c8361af475d9320f8a18d2c5dce455e6ccdb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cb4173246af8ff85ea77262512ea272e915ff80be1e172821a514bd5ce1c2b80",
    "cross_cats_sorted": [
      "cs.SI",
      "stat.AP"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-04-23T09:14:11Z",
    "title_canon_sha256": "8b03ae47f1502be9d6cdc2eed47f51f50ee9346690af7a2f2fe03453b2d825b2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.21457",
    "kind": "arxiv",
    "version": 2
  }
}