Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area
Reducing transport poverty can improve well-being and expand employment opportunities. This study investigates the relevance of socio-demographic and urban density predictors in relation to transport poverty contributor metrics for neighborhoods in the Amsterdam metropolitan area. Utilizing a spatia...
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| Language: | English |
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Elsevier
2025-01-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198225000193 |
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| author | Thijs Bon Matthew Bruno Niels van Oort |
| author_facet | Thijs Bon Matthew Bruno Niels van Oort |
| author_sort | Thijs Bon |
| collection | DOAJ |
| description | Reducing transport poverty can improve well-being and expand employment opportunities. This study investigates the relevance of socio-demographic and urban density predictors in relation to transport poverty contributor metrics for neighborhoods in the Amsterdam metropolitan area. Utilizing a spatial econometric framework, we assess the relevance of these predictors across three dimensions of transport poverty: mobility, accessibility, and affordability. Contrary to existing literature, our findings indicate that the demographic factors of gender and younger age are not significant predictors at the neighborhood level. Furthermore, the research identified a correlation between higher urban density and transport poverty. While higher urban density is associated with decreased car ownership rates and increased accessibility, it simultaneously correlates with higher public transport costs relative to income. Additionally, the method revealed a high cumulative spatial effect of income in connection with transport affordability, indicating spatially extensive income-related transport affordability disparities. Our research offers new insights into factors related to neighborhood-level transport poverty. The observed spatial dynamics call for targeted strategies that address the unique challenges for implementing equitable transport policies in both densely populated urban areas and less urbanized regions. |
| format | Article |
| id | doaj-art-5d1c8ef6c97743ef9307299098962b33 |
| institution | Kabale University |
| issn | 2590-1982 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj-art-5d1c8ef6c97743ef9307299098962b332025-02-09T05:01:20ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-01-0129101340Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan areaThijs Bon0Matthew Bruno1Niels van Oort2Corresponding author.; Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, Delft, 2628 CN, Zuid-Holland, NetherlandsDepartment of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, Delft, 2628 CN, Zuid-Holland, NetherlandsDepartment of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, Delft, 2628 CN, Zuid-Holland, NetherlandsReducing transport poverty can improve well-being and expand employment opportunities. This study investigates the relevance of socio-demographic and urban density predictors in relation to transport poverty contributor metrics for neighborhoods in the Amsterdam metropolitan area. Utilizing a spatial econometric framework, we assess the relevance of these predictors across three dimensions of transport poverty: mobility, accessibility, and affordability. Contrary to existing literature, our findings indicate that the demographic factors of gender and younger age are not significant predictors at the neighborhood level. Furthermore, the research identified a correlation between higher urban density and transport poverty. While higher urban density is associated with decreased car ownership rates and increased accessibility, it simultaneously correlates with higher public transport costs relative to income. Additionally, the method revealed a high cumulative spatial effect of income in connection with transport affordability, indicating spatially extensive income-related transport affordability disparities. Our research offers new insights into factors related to neighborhood-level transport poverty. The observed spatial dynamics call for targeted strategies that address the unique challenges for implementing equitable transport policies in both densely populated urban areas and less urbanized regions.http://www.sciencedirect.com/science/article/pii/S2590198225000193Transport povertySocio-demographicsUrban densityMobilityAccessibilityAffordability |
| spellingShingle | Thijs Bon Matthew Bruno Niels van Oort Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area Transportation Research Interdisciplinary Perspectives Transport poverty Socio-demographics Urban density Mobility Accessibility Affordability |
| title | Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area |
| title_full | Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area |
| title_fullStr | Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area |
| title_full_unstemmed | Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area |
| title_short | Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area |
| title_sort | three dimensional transport poverty and its socio demographic and urban density predictors spatial regression analyses of neighborhoods in the amsterdam metropolitan area |
| topic | Transport poverty Socio-demographics Urban density Mobility Accessibility Affordability |
| url | http://www.sciencedirect.com/science/article/pii/S2590198225000193 |
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