Mapping the spatial patterns of internal migration in Europe

Rowe, Francisco; Patias, Nikos

doi:10.1080/21681376.2020.1811139

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…Low levels of mobility in Spain are also coupled with low levels of population redistribution across the country ( Rowe et al, 2019 , 2020 ). Combined low levels of intensity and impact have resulted in a migration system characterized by a pattern of spatial equilibrium, where inflows and outflows are closely balanced ( Rowe et al, 2019 ; Rowe and Patias, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and Where?

González‐Leonardo

Rowe

Fresolone-Caparrós

2022

Journal of Rural Studies

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Section: Introductionmentioning

confidence: 99%

Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and Where?

González‐Leonardo

Rowe

Fresolone-Caparrós

2022

Journal of Rural Studies

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“…Low levels of mobility in Spain are also coupled with low levels of population redistribution across the country (Rowe et al, 2019 and. Combined low levels of intensity and impact have resulted in a migration system characterized by a pattern of spatial equilibrium, where inflows and outflows are closely balanced (Rowe at al., 2019;Rowe and Patias, 2020).…”

Section: Internal Migration In Spain Preceding the Pandemicmentioning

confidence: 99%

Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and where?

González‐Leonardo¹,

Rowe²,

Fresolone-Caparrós³

2022

Preprint

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During the outbreak of the COVID-19 pandemic, anecdotal evidence of a “rural revival” emerged mirroring the “urban exodus” hypothesis. Currently, we know that internal migration to rural areas increased in some countries during 2020, although not with the intensity speculated by the media. However, little is known about the attributes of rural areas attracting migrants and demographic composition of migration inflows. Drawing on administrative population register data, we analysed the main types of rural areas pulling internal migrants in Spain and their demographic characteristics, namely age, sex and place of birth. Our results show that in-migration increased in rural areas close to cities and with high prevalence of second homes. Inflows to rural areas comprised migrants across a wide age spectrum, from young adults and families to retired individuals. These flows also comprised foreign-born populations from high socio-economic background, particularly Latin Americans and individuals from high-income countries. Our findings suggest unequal impacts of the COVID-19 pandemic on the conterurbanisation process, triggering population movements among high-socioeconomic groups from cities to rural areas

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“…Apart from investigating commuting behaviours and measuring the commuting distance, a commuting map also helps us to understand commuting patterns [35]. A flow map is a typical way of visualising the work-to-home journey, and it has a wide range of applications such as transportation flow and commuting flow [36][37][38][39][40][41]. Tobler [42] presented some early examples of the initial flow map to show geographical movements.…”

Section: The Origin-destination Flow Mapmentioning

confidence: 99%

Understanding the Spatial Effects of Unaffordable Housing Using the Commuting Patterns of Workers in the New Zealand Integrated Data Infrastructure

Xiong

Cheung

Filippova

2021

IJGI

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Commuting behaviour has been intensively examined by geographers, urban planners, and transportation researchers, but little is known about how commuting behaviour is spatially linked with the job and housing markets in urban cities. New Zealand has been recognised as one of the countries having the most unaffordable housing over the past decade. A group of middle-class professionals called ‘key workers’, also known during the pandemic as ‘essential workers’, provide essential services for the community, but cannot afford to live near their workplaces due to a lack of affordable housing. As a result, these key workers incur significant sub-optimal commuting. Such job-housing imbalance has contributed to a so-called spatial mismatch problem. This study aims to visualise the excess commuting patterns of individual workers using the Integrated Data Infrastructure (IDI) from Statistics New Zealand. The visualisation suggests that over the last demi-decade, housing unaffordability has partially distorted the commuting patterns of key workers in Auckland. More of the working population, in particular those key workers, are displaced to the outer rings of the city. While there is an overall reduction in excess commuting across three groups of workers, key workers remain the working population with a disproportionate long excess commute.

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Mapping the spatial patterns of internal migration in Europe

Cited by 10 publications

References 5 publications

Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and Where?

Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and Where?

Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and where?

Understanding the Spatial Effects of Unaffordable Housing Using the Commuting Patterns of Workers in the New Zealand Integrated Data Infrastructure

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