Analysis of air quality spatial spillover effect caused by transportation infrastructure
Road traffic has changed as an essential source of influential urban air pollution in China. This study developed the Spatial Durbin Model to analyze the spatial spillover effects on air pollution caused by urban transportation infrastructure. The results show that high-emission areas congregate in the eastern region of China, which reflects noticeable spatial spillover effects and agglomeration characteristics as high-emission “clubs.” When the traffic construction area increases by 1%, the air pollution level will increase 3.2% as accompanied. The improvement of the transportation infrastructure will bring out economic development. The speed of air pollution generated by the resources consumed by economic development is higher than that of technological improvement in the economic transition period to reduce air pollution. In contrast, economic growth and air pollution exacerbation represent a U-shaped curve connection. Most provinces remain in a stage where air pollution worsened with economic growth.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Guo, Yujing
- Lu, Quanying
- Wang, Shubin
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0000-0002-1566-1448
- Wang, Quanjing
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 103325
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 108
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Air pollution; Air quality; Cities; Highways; Infrastructure; Spatial analysis
- Geographic Terms: China
- Subject Areas: Environment; Highways;
Filing Info
- Accession Number: 01849255
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 23 2022 9:16AM