Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model
type: Dataset
description: The effect of an individual-specific measure of accessibility to jobs is analyzed using a three-level nested logit model of residential location, workplace, and job type choice. This measure takes into account the attractiveness of different job types when the workplace choice is anticipated in the residential location decision. The model allows for variation in the preferences for job types across individuals and accounts for individual heterogeneity of preferences at each choice level in the following dimensions: education, age, gender and children. Using data from the Greater Paris Area, estimation results indicate that the individual-specific accessibility measure is an important determinant of the residential location choice and its effect differ along the life cycle. Results also show that the job type attractiveness measure is a more significant predictor of workplace location than the standard measures.
landing page: https://hal.science/hal-00776945
keyword: accessibility
keyword: greater-paris
keyword: infoeu-reposemanticspreprint
keyword: jel-c---mathematical-and-quantitative-methodscc3---multiple-or-simultaneous-equation-models--mul
keyword: jel-r---urban-rural-regional-real-estate-and-transportation-economicsrr2---household-analysis
keyword: job-location
keyword: nested-logit
keyword: preprints-working-papers-
keyword: residential-location
keyword: shsecohumanities-and-social-scienceseconomics-and-finance
issued: 2026-05-15T06:01:20.284397
modified: 2026-05-15T06:01:20.284410
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model
type: Distribution
format: HTML
access URL: https://hal.science/hal-00776945
issued: 2026-05-15T06:01:20.318316
modified: 2026-05-15T06:01:20.252358