The spatial spillover effect of transportation networks on ecological footprint

In the context of rapid urbanization and regional development worldwide, the efficient and rational spatial distribution of transportation networks is vitally important in achieving sustainable development. In this study, we used an adjusted three-dimensional ecological footprint model (EF3D) to ass...

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Autores principales:	Tianyu Lv, Chen Zeng, Lindsay C. Stringer, Jing Yang, Pengrui Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Three-dimensional ecological footprint Spatial spillover effect Sustainable development Urban Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/3ad7835d9a3d42f7b298cc5f6f00aa08
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id	oai:doaj.org-article:3ad7835d9a3d42f7b298cc5f6f00aa08
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spelling	oai:doaj.org-article:3ad7835d9a3d42f7b298cc5f6f00aa082021-12-01T05:02:16ZThe spatial spillover effect of transportation networks on ecological footprint1470-160X10.1016/j.ecolind.2021.108309https://doaj.org/article/3ad7835d9a3d42f7b298cc5f6f00aa082021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009742https://doaj.org/toc/1470-160XIn the context of rapid urbanization and regional development worldwide, the efficient and rational spatial distribution of transportation networks is vitally important in achieving sustainable development. In this study, we used an adjusted three-dimensional ecological footprint model (EF3D) to assess regional sustainable development. We explored the driving factors and spatial influence of transportation networks on the EF3D in the urban agglomerations in the middle reaches of the Yangtze River (UAMRYR), China, in 2010 and 2017, integrating the STIRPAT model and spatial econometric model alongside the transportation network in the research framework. The results show that the EF3D has been reduced by 1.46% from 2010 to 2017. Although the overall level of sustainable development in UAMRYR has improved, 94.69% of the county units were still in ecological overshoot in 2017. In addition, population density, GDP per capita and the proportion of non-tertiary industries had positive local influences on EF3D. At the county level, EF3D had positive spatial autocorrelation, and the spatial spillover effect of EF3D was confirmed through the transportation network, indicating that the spatial influence of the transportation network was an important factor in explaining EF3D. Population density and GDP per capita had negative and positive indirect spatial effects, respectively. In the future, the function of transportation systems should be improved to transfer the population pressure of cities and increase natural capital flexibility to reduce the EF and ultimately achieve balanced development.Tianyu LvChen ZengLindsay C. StringerJing YangPengrui WangElsevierarticleThree-dimensional ecological footprintSpatial spillover effectSustainable developmentUrbanEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108309- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Three-dimensional ecological footprint Spatial spillover effect Sustainable development Urban Ecology QH540-549.5
spellingShingle	Three-dimensional ecological footprint Spatial spillover effect Sustainable development Urban Ecology QH540-549.5 Tianyu Lv Chen Zeng Lindsay C. Stringer Jing Yang Pengrui Wang The spatial spillover effect of transportation networks on ecological footprint
description	In the context of rapid urbanization and regional development worldwide, the efficient and rational spatial distribution of transportation networks is vitally important in achieving sustainable development. In this study, we used an adjusted three-dimensional ecological footprint model (EF3D) to assess regional sustainable development. We explored the driving factors and spatial influence of transportation networks on the EF3D in the urban agglomerations in the middle reaches of the Yangtze River (UAMRYR), China, in 2010 and 2017, integrating the STIRPAT model and spatial econometric model alongside the transportation network in the research framework. The results show that the EF3D has been reduced by 1.46% from 2010 to 2017. Although the overall level of sustainable development in UAMRYR has improved, 94.69% of the county units were still in ecological overshoot in 2017. In addition, population density, GDP per capita and the proportion of non-tertiary industries had positive local influences on EF3D. At the county level, EF3D had positive spatial autocorrelation, and the spatial spillover effect of EF3D was confirmed through the transportation network, indicating that the spatial influence of the transportation network was an important factor in explaining EF3D. Population density and GDP per capita had negative and positive indirect spatial effects, respectively. In the future, the function of transportation systems should be improved to transfer the population pressure of cities and increase natural capital flexibility to reduce the EF and ultimately achieve balanced development.
format	article
author	Tianyu Lv Chen Zeng Lindsay C. Stringer Jing Yang Pengrui Wang
author_facet	Tianyu Lv Chen Zeng Lindsay C. Stringer Jing Yang Pengrui Wang
author_sort	Tianyu Lv
title	The spatial spillover effect of transportation networks on ecological footprint
title_short	The spatial spillover effect of transportation networks on ecological footprint
title_full	The spatial spillover effect of transportation networks on ecological footprint
title_fullStr	The spatial spillover effect of transportation networks on ecological footprint
title_full_unstemmed	The spatial spillover effect of transportation networks on ecological footprint
title_sort	spatial spillover effect of transportation networks on ecological footprint
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3ad7835d9a3d42f7b298cc5f6f00aa08
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The spatial spillover effect of transportation networks on ecological footprint

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