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Extreme commuting

A labor and transport category for a worker whose one-way daily journey to work exceeds a declared long-duration threshold, commonly 90 minutes in United States statistics.

Version
v1 · 2026-09-08 · History
Domain-specific #
4491
Origin domain
transportation demography
Subdomain
transportation demography
Aliases
Extreme commute

Core Idea

Thresholds and populations vary by country and survey, one-way time differs from round-trip distance and the category does not by itself explain mode, choice or wellbeing. Surveyed workers report commute duration, journeys are normalized to a one-way measure and observations crossing the jurisdiction’s threshold are counted and compared across places and groups. The abstraction is therefore identified by a declared carrier, a transformation or constraint over that carrier, and an invariant that tells an analyst whether the named structure is genuinely present.

Scope of Application

Extreme commuting belongs to transportation demography and is useful where the analyst can specify the typed transportation demography carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, then evaluate the employed population and geography, survey period and sampling, journey-to-work definition, one-way duration and units, threshold and strictness, mode and frequency treatment, remote or multi-site cases, weighted prevalence and uncertainty and cross-jurisdiction comparability are explicit. The scope is broad within that domain but bounded by the need for the employed population and geography, survey period and sampling, journey-to-work definition, one-way duration and units, threshold and strictness, mode and frequency treatment, remote or multi-site cases, weighted prevalence and uncertainty and cross-jurisdiction comparability are explicit.

Clarity

The abstraction clarifies a crowded vocabulary by making the employed population and geography, survey period and sampling, journey-to-work definition, one-way duration and units, threshold and strictness, mode and frequency treatment, remote or multi-site cases, weighted prevalence and uncertainty and cross-jurisdiction comparability are explicit the center of the account. A claim should name the carrier, the governing operation or relation, the applicable assumptions, and the recognition test.

Manages Complexity

Without the abstraction, an analyst must reason directly over many local details: the carrier roles, admissibility assumptions, competing conventions, derived invariants, boundary cases, and proof or validation obligations specific to Extreme commuting. Extreme commuting compresses them into the roles in the structural signature. That compression permits comparison across instances without erasing the variables that determine validity. It also exposes which details may be varied safely and which are constitutive.

Abstract Reasoning

  1. Identify the carrier. State what the elements, states, objects, or observations are: the typed transportation demography carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets. Reject examples whose alleged carrier belongs to a different problem. 2. Lock the constitutive rule. Express the employed population and geography, survey period and sampling, journey-to-work definition, one-way duration and units, threshold and strictness, mode and frequency treatment, remote or multi-site cases, weighted prevalence and uncertainty and cross-jurisdiction comparability are explicit independently of one notation or implementation.

Knowledge Transfer

Knowledge transfers strongly among subfields of transportation demography because they reuse the typed transportation demography carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, Surveyed workers report commute duration, journeys are normalized to a one-way measure and observations crossing the jurisdiction’s threshold are counted and compared across places and groups., and type the carrier, state every parameter and convention in the definition, test that the employed population and geography, survey period and sampling, journey-to-work definition, one-way duration and units, threshold and strictness, mode and frequency treatment, remote or multi-site cases, weighted prevalence and uncertainty and cross-jurisdiction comparability are explicit, compare the nearest accepted identity, and report counterexamples, uncertainty, and limiting cases.

Relationships to Other Abstractions

Local relationship map for Extreme commutingParents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.Extreme commutingDOMAINPrime abstraction: Classification — is a kind ofClassificationPRIME

Current abstraction Extreme commuting Domain-specific

Parents (1) — more general patterns this builds on

  • Extreme commuting is a kind of Classification Prime

    The proposed strict upward parent is prime:classification.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Extreme commuting sits in a moderately populated region (41st percentile for distinctiveness): it has near-neighbors but no dense thicket of look-alikes.

Family — Spatial Epidemiology & Community Health (11 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-09-08