Who are the long-distance commuters? Patterns and driving forces in Sweden

The aim of this study is to explore the determinants of long-distance commuting as compared to shorter commuting distances. Long-distance commuters are defined as individuals with a Euclidean distance of 200 kilometres or more between their housing and work place coordinates. With the increase in du...

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Autores principales:	Marianne Öhman, Urban Lindgren
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2003
Materias:	binomial logit model long-distance commuting mobility commuter Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/a67dd070350c445da09ed61401ce879f
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spelling	oai:doaj.org-article:a67dd070350c445da09ed61401ce879f2021-12-02T11:18:03ZWho are the long-distance commuters? Patterns and driving forces in Sweden1278-336610.4000/cybergeo.4118https://doaj.org/article/a67dd070350c445da09ed61401ce879f2003-08-01T00:00:00Zhttp://journals.openedition.org/cybergeo/4118https://doaj.org/toc/1278-3366The aim of this study is to explore the determinants of long-distance commuting as compared to shorter commuting distances. Long-distance commuters are defined as individuals with a Euclidean distance of 200 kilometres or more between their housing and work place coordinates. With the increase in dual-earner households, long-distance commuting has emerged as a mobility strategy to manage the growing distances between home and work places. The empirical analysis is based on a sample from a longitudinal micro database containing demographic, socio-economic and geographic information for the total Swedish population. The sample includes all individuals in gainful employment in the age group 19 to 64, with valid geographical coordinates of residence and work place in 1994. A binomial logit model is estimated to capture the effects of variables related to the individual, the kind of work and the labour market, the household, and the geographical context. The results of the analysis show that the long-distance commuter is more likely to be male, younger, have at least three years of university education, previous experience of long-distance commuting, a very low or a very high income, a spouse with a university degree, no children, and is less likely to live in a detached house. He/she is also more likely to live in a larger city or its hinterland and work within certain occupational sectors. Previous experience of long-distance commuting in particular turns out to have a strong positive effect on the probability of being a long-distance commuter. A concluding discussion on the mobility strategies and the lifestyle of long-distance commuters suggests the diversity of driving forces to be found in individual and household preferences, and structural factors.Marianne ÖhmanUrban LindgrenUnité Mixte de Recherche 8504 Géographie-citésarticlebinomial logit modellong-distance commutingmobilitycommuterGeography (General)G1-922DEENFRITPTCybergeo (2003)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	binomial logit model long-distance commuting mobility commuter Geography (General) G1-922
spellingShingle	binomial logit model long-distance commuting mobility commuter Geography (General) G1-922 Marianne Öhman Urban Lindgren Who are the long-distance commuters? Patterns and driving forces in Sweden
description	The aim of this study is to explore the determinants of long-distance commuting as compared to shorter commuting distances. Long-distance commuters are defined as individuals with a Euclidean distance of 200 kilometres or more between their housing and work place coordinates. With the increase in dual-earner households, long-distance commuting has emerged as a mobility strategy to manage the growing distances between home and work places. The empirical analysis is based on a sample from a longitudinal micro database containing demographic, socio-economic and geographic information for the total Swedish population. The sample includes all individuals in gainful employment in the age group 19 to 64, with valid geographical coordinates of residence and work place in 1994. A binomial logit model is estimated to capture the effects of variables related to the individual, the kind of work and the labour market, the household, and the geographical context. The results of the analysis show that the long-distance commuter is more likely to be male, younger, have at least three years of university education, previous experience of long-distance commuting, a very low or a very high income, a spouse with a university degree, no children, and is less likely to live in a detached house. He/she is also more likely to live in a larger city or its hinterland and work within certain occupational sectors. Previous experience of long-distance commuting in particular turns out to have a strong positive effect on the probability of being a long-distance commuter. A concluding discussion on the mobility strategies and the lifestyle of long-distance commuters suggests the diversity of driving forces to be found in individual and household preferences, and structural factors.
format	article
author	Marianne Öhman Urban Lindgren
author_facet	Marianne Öhman Urban Lindgren
author_sort	Marianne Öhman
title	Who are the long-distance commuters? Patterns and driving forces in Sweden
title_short	Who are the long-distance commuters? Patterns and driving forces in Sweden
title_full	Who are the long-distance commuters? Patterns and driving forces in Sweden
title_fullStr	Who are the long-distance commuters? Patterns and driving forces in Sweden
title_full_unstemmed	Who are the long-distance commuters? Patterns and driving forces in Sweden
title_sort	who are the long-distance commuters? patterns and driving forces in sweden
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2003
url	https://doaj.org/article/a67dd070350c445da09ed61401ce879f
work_keys_str_mv	AT marianneohman whoarethelongdistancecommuterspatternsanddrivingforcesinsweden AT urbanlindgren whoarethelongdistancecommuterspatternsanddrivingforcesinsweden
_version_	1718396061186260992

Who are the long-distance commuters? Patterns and driving forces in Sweden

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