File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.3390/rs12233929
- Scopus: eid_2-s2.0-85097011538
- WOS: WOS:000597557800001
Supplementary
- Citations:
- Appears in Collections:
Article: Analysing the driving forces and environmental effects of urban expansion by mapping the speed and acceleration of built-up areas in china between 1978 and 2017
Title | Analysing the driving forces and environmental effects of urban expansion by mapping the speed and acceleration of built-up areas in china between 1978 and 2017 |
---|---|
Authors | |
Keywords | Environmental effects Spatiotemporal dynamics Built-up area expansion Driving forces Acceleration City categorisation |
Issue Date | 2020 |
Citation | Remote Sensing, 2020, v. 12, n. 23, article no. 3929 How to Cite? |
Abstract | Abundant data sets produced from long-term series of high-resolution remote sensing data have made it possible to explore urban issues across different spatiotemporal scales. Based on a 40-year impervious area data set released by Tsinghua University, a method was developed to map the speed and acceleration of urban built-up areas. With the mapping results of the two indices, we characterised the spatiotemporal dynamics of built-up area expansion and captured different types of expansion. Combined with socioeconomic data, we examined the temporal changes and spatial heterogeneity of driving forces with an ordinary least square (OLS) model and a panel data model, as well as exploring the environmental effects of the expansion. Our results reveal that China has experienced drastic urban expansion over the last four decades. Among all cities, megacities and large cities in eastern China, as well as megacities in central and northeast China have experienced the most dramatic urban expansion. A growing number of cities are categorised as thriving, which means that they have both high expansion speed and acceleration. The overall driving force of urban expansion has significantly increased. More specifically, it was associated with population increase in the early stages; however, since 2000, it has been substantially associated with increases in GDP and fixed asset investments. The major driving factors also differ between regions and urban sizes. Urban expansion is identified as being closely associated with environmental deterioration; thus, speed and acceleration should be included as key indicators in exploring the environmental effects of urban expansion. In summary, the results of the presented case study, based on a data set of China, indicate that speed and acceleration are useful in analysing the driving forces of urban expansion and its environmental effects, and may generate more interest in related research. |
Persistent Identifier | http://hdl.handle.net/10722/296910 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Lan | - |
dc.contributor.author | Jia, Yinghui | - |
dc.contributor.author | Li, Xinhu | - |
dc.contributor.author | Gong, Peng | - |
dc.date.accessioned | 2021-02-25T15:16:57Z | - |
dc.date.available | 2021-02-25T15:16:57Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Remote Sensing, 2020, v. 12, n. 23, article no. 3929 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296910 | - |
dc.description.abstract | Abundant data sets produced from long-term series of high-resolution remote sensing data have made it possible to explore urban issues across different spatiotemporal scales. Based on a 40-year impervious area data set released by Tsinghua University, a method was developed to map the speed and acceleration of urban built-up areas. With the mapping results of the two indices, we characterised the spatiotemporal dynamics of built-up area expansion and captured different types of expansion. Combined with socioeconomic data, we examined the temporal changes and spatial heterogeneity of driving forces with an ordinary least square (OLS) model and a panel data model, as well as exploring the environmental effects of the expansion. Our results reveal that China has experienced drastic urban expansion over the last four decades. Among all cities, megacities and large cities in eastern China, as well as megacities in central and northeast China have experienced the most dramatic urban expansion. A growing number of cities are categorised as thriving, which means that they have both high expansion speed and acceleration. The overall driving force of urban expansion has significantly increased. More specifically, it was associated with population increase in the early stages; however, since 2000, it has been substantially associated with increases in GDP and fixed asset investments. The major driving factors also differ between regions and urban sizes. Urban expansion is identified as being closely associated with environmental deterioration; thus, speed and acceleration should be included as key indicators in exploring the environmental effects of urban expansion. In summary, the results of the presented case study, based on a data set of China, indicate that speed and acceleration are useful in analysing the driving forces of urban expansion and its environmental effects, and may generate more interest in related research. | - |
dc.language | eng | - |
dc.relation.ispartof | Remote Sensing | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Environmental effects | - |
dc.subject | Spatiotemporal dynamics | - |
dc.subject | Built-up area expansion | - |
dc.subject | Driving forces | - |
dc.subject | Acceleration | - |
dc.subject | City categorisation | - |
dc.title | Analysing the driving forces and environmental effects of urban expansion by mapping the speed and acceleration of built-up areas in china between 1978 and 2017 | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/rs12233929 | - |
dc.identifier.scopus | eid_2-s2.0-85097011538 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 23 | - |
dc.identifier.spage | article no. 3929 | - |
dc.identifier.epage | article no. 3929 | - |
dc.identifier.eissn | 2072-4292 | - |
dc.identifier.isi | WOS:000597557800001 | - |
dc.identifier.issnl | 2072-4292 | - |