Spatiotemporal Analysis of Urban Expansion in Beijing, China
Abstract
:1. Introduction
2. Research Area and Research Methods
2.1. Study Areas
2.2. Data Sources and Preprocessing
2.3. Research Methods for Determining the Quantitative Characteristics of Urban Expansion
2.3.1. Urban Expansion Speed Index
2.3.2. Urban Expansion Intensity Index
2.4. Research Methods on the Spatial Characteristics of Urban Expansion
2.4.1. Fractal Dimension of Urban Space
2.4.2. Transfer of the Urban Spatial Center of Gravity
2.4.3. Elastic Coefficient of Urban Expansion
2.5. Establish the Urban Expansion Technology System
3. Results
3.1. Quantitative Characteristics of Urban Expansion in Beijing
3.2. Characteristics of Urban Expansion Space in Beijing
3.3. Rationality of Urban Expansion in Beijing
3.4. The Driving Force of Urban Expansion in Beijing
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
County | 1995–2000 | 2000–2005 | 2005–2010 | 2010–2015 | 2015–2020 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Expansion Area | Expansion Speed | Expansion Intensity | Expansion Area | Expansion Speed | Expansion Intensity | Expansion Area | Expansion Speed | Expansion Intensity | Expansion Area | Expansion Speed | Expansion Intensity | Expansion Area | Expansion Speed | Expansion Intensity | |
Mentougou District | −1.77 | −0.35 | −0.01 | 10.44 | 2.09 | 0.06 | 36.66 | 7.33 | 0.17 | −9.37 | −1.87 | −0.02 | 10.06 | 2.01 | 0.03 |
Fangshan District | −2.75 | −0.55 | 0.00 | 0.06 | 0.01 | 0.00 | 87.57 | 17.51 | 0.08 | 43.45 | 8.69 | 0.03 | 14.13 | 2.83 | 0.01 |
Daxing District | −5.76 | −1.15 | −0.01 | 38.36 | 7.67 | 0.04 | 130.05 | 26.01 | 0.12 | 34.70 | 6.94 | 0.02 | 32.58 | 6.52 | 0.02 |
Tongzhou District | −5.94 | −1.19 | −0.01 | 15.99 | 3.20 | 0.02 | 59.63 | 11.93 | 0.05 | 39.00 | 7.80 | 0.03 | 29.03 | 5.81 | 0.02 |
Shunyi District | −11.34 | −2.27 | −0.01 | 33.94 | 6.79 | 0.04 | 91.98 | 18.40 | 0.08 | 38.38 | 7.68 | 0.02 | −7.92 | −1.58 | 0.00 |
Changping District | −5.01 | −1.00 | 0.00 | 20.86 | 4.17 | 0.02 | 73.99 | 14.80 | 0.07 | 38.57 | 7.71 | 0.03 | −7.21 | −1.44 | 0.00 |
Shijingshan District | 0.00 | 0.00 | 0.00 | −0.08 | −0.02 | 0.00 | 1.31 | 0.26 | 0.00 | 0.17 | 0.03 | 0.00 | 0.15 | 0.03 | 0.00 |
Fengtai District | −0.17 | −0.03 | 0.00 | 0.72 | 0.14 | 0.00 | 26.07 | 5.21 | 0.03 | 5.81 | 1.16 | 0.01 | 7.88 | 1.58 | 0.01 |
Haidian District | −0.47 | −0.09 | 0.00 | 11.18 | 2.24 | 0.01 | 28.86 | 5.77 | 0.02 | 18.05 | 3.61 | 0.01 | −8.88 | −1.78 | −0.01 |
Xicheng District | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Dongcheng District | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Chaoyang District | −0.82 | −0.16 | 0.00 | 24.83 | 4.97 | 0.02 | 48.91 | 9.78 | 0.03 | 3.88 | 0.78 | 0.00 | 24.57 | 4.91 | 0.01 |
Beijing | −34.03 | −6.80 | −0.04 | 156.30 | 31.26 | 0.21 | 585.03 | 117.01 | 0.66 | 212.63 | 42.53 | 0.12 | 94.37 | 18.87 | 0.08 |
References
- Jiao, L.M.; Zhang, X. Characterizing urban expansion of main metropolises in China based on built-up densities in concentric rings. Resour. Environ. Yangtze Basin 2015, 24, 721–1728. (In Chinese) [Google Scholar]
- Handayani, H.H.; Murayama, Y.; Ranagalage, M.; Liu, F.; Dissanayake, D.M.S.L.B. Geospatial analysis of horizontal and vertical urban expansion using multi-spatial resolution data: A case study of Surabaya, Indonesia. Remote Sens. 2018, 10, 1599. [Google Scholar] [CrossRef]
- Deng, L.Y.; Shen, Z.F.; Ke, Y.M. Built-up Area Extraction and Urban Expansion Analysis Based on Remote Sensing Images. J. Geo-Inf. Sci. 2018, 20, 996–1003. [Google Scholar]
- Gebhard, W.; Andreas, B.; Christian, B.; Hochschild, V.; Bachofer, F. DSM-based identification of changes in highly dynamic urban agglomerations. Eur. J. Remote Sens. 2019, 52, 322–334. [Google Scholar]
- Zambon, I.; Colantoni, A.; Salvati, L. Horizontal vs vertical growth: Understanding latent patterns of urban expansion in large metropolitan regions. Sci. Total Environ. 2019, 654, 778–785. [Google Scholar] [CrossRef]
- Lafortezza, R.; Sanesi, G. Nature-based solutions: Settling the issue of sustainable urbanization. Environ. Res. 2019, 172, 394–398. [Google Scholar] [CrossRef]
- He, C.; Liu, Z.; Gou, S.; Zhang, Q.; Zhang, J.; Xu, L. Detecting global urban expansion over the last three decades using a fully convolutional network. Environ. Res. Lett. 2019, 14, 034008. [Google Scholar] [CrossRef]
- Ewing, R.; Hamidi, S. Compactness versus sprawl: A review of recent evidence from the United States. J. Plan. Lit. 2015, 30, 413–432. [Google Scholar] [CrossRef]
- Zhao, S.; Zhou, D.; Zhu, C.; Qu, W.; Zhao, J.; Sun, Y.; Huang, D.; Wu, W.; Liu, S. Rates and patterns of urban expansion in China’s 32 major cities over the past three decades. Landsc. Ecol 2015, 30, 1541–1559. [Google Scholar] [CrossRef]
- Sarzynski, A.; Galster, G.; Stack, L. Typologies of sprawl: Investigating United States Metropolitan land use patterns. Urban Stud. 2014, 35, 25–47. [Google Scholar] [CrossRef]
- Bibiana, C.; David, S.; Pere, S. Urban sprawl in the Mediterranean? Patterns of growth and change in the Barcelona Metropolitan Region 1993–2000. Landsc. Urban Plan. 2008, 85, 174–184. [Google Scholar]
- Ming, L.; Wang, Y.; Chen, X.; Meng, L. Dynamics of urban expansion and form changes impacting carbon emissions in the Guangdong-Hong Kong-Macao Greater Bay Area counties. Heliyon 2024, 10, e29647. [Google Scholar] [CrossRef] [PubMed]
- Lodato, F.; Colonna, N.; Pennazza, G.; Praticò, S.; Santonico, M.; Vollero, L.; Pollino, M. Analysis of the Spatiotemporal Urban Expansion of the Rome Coastline through GEE and RF Algorithm, Using Landsat Imagery. ISPRS Int. J. Geo-Inf. 2023, 12, 141. [Google Scholar] [CrossRef]
- Wu, D.; Zheng, L.; Wang, Y.; Gong, J.; Li, J.; Chen, Q. Urban expansion patterns and their driving forces analysis: A comparison between Chengdu-Chongqing and Middle Reaches of Yangtze River urban agglomerations. Environ. Monit. Assess. 2023, 195, 1121. [Google Scholar] [CrossRef] [PubMed]
- Gao, W.X. Analysis on Dynamic Changes of Urban Expansion Based on Topography and Landform. Master’s Thesis, Lanzhou University of Technology, Lanzhou, China, 2020. (In Chinese). [Google Scholar]
- Liu, Y.; Lv, Y.H.; Fu, B.J. Implication and limitation of landscape metrics in delineating relationship between landscape pattern and soil erosion. Acta Ecol. Sin. 2011, 31, 0267–0275. [Google Scholar]
- Wang, M.J. Analysis the change of urban internal spatial structure based on the shift of city gravity in Dalian city. Territ. Nat. Resour. Study 2015, 4, 1–3. [Google Scholar]
- Liu, D.; Yu, C.L. Urban expansion and its influence on spatiotemporal variation of thermal environment: A case study of Harbin City. Ecol. Environ. Sci. 2018, 27, 509–517. (In Chinese) [Google Scholar]
- Zhang, Z.Y.; Liu, H.; Yang, Y.W. Urban spatio-temporal expansion process for resource-exhausted cities: A case study of Huaibei city. Geogr. Res. 2018, 37, 183–198. [Google Scholar]
- Li, X.; Gong, P. Urban growth models: Progress and perspective. Sci. Bull. 2016, 61, 1637–1650. [Google Scholar] [CrossRef]
- Duan, S.S.; Zheng, J.H.; Yu, D.L.; Han, L.Z. Study on the characteristics of the typical oasis city expansion of the “Belt and Road”-taking Urumqi as an example. Sci. Surv. Mapp. 2020, 45, 188–198. (In Chinese) [Google Scholar]
- Xiao, D.N. Urbanization Process and the Sustainable Utilization of Land Resources. Yunnan Geogr. Environ. Res. 1997, 9, 34–39. (In Chinese) [Google Scholar]
- Yan, M.; Huang, J.C. Review on the research of urban spatial expansion. Prog. Geogr. 2013, 32, 1039–1050. [Google Scholar]
- Karimi, F.; Sultana, S. Urban Expansion Prediction and Land Use/Land Cover Change Modeling for Sustainable Urban Development. Sustainability 2024, 16, 2285. [Google Scholar] [CrossRef]
- Ding, X.Y. A Comparative Study of Talent Introduction Policies in Chinese Cities from the Perspective of Policy Tools. Master’s Thesis, Tiangong University, Tianjin, China, 2021. (In Chinese). [Google Scholar]
- Mao, R.; Bao, Y.; Huang, Z.; Liu, Q.; Liu, G. High-Resolution Mapping of the Urban Built Environment Stocks in Beijing. Environ. Sci. Technol. 2020, 54, 5345–5355. [Google Scholar] [CrossRef]
- Li, J. Building a National Cultural Center in the Context of the New Beijing Urban Master Plan. In Analysis of the Development of Beijing; Beijing Academy of Social Sciences, Ed.; Palgrave Macmillan: Singapore, 2018. [Google Scholar]
- Yang, Y.; Liu, Y.; Li, Y.; Du, G. Quantifying spatio-temporal patterns of urban expansion in Beijing during 1985–2013 with rural-urban development transformation. Land Use Policy 2018, 74, 220–230. [Google Scholar] [CrossRef]
Classified | Index |
---|---|
Research methods for determining the quantitative characteristics of urban expansion | Urban expansion speed index |
Urban expansion intensity index | |
Research methods on the spatial characteristics of urban expansion | Fractal dimension of urban space |
Transfer of the urban spatial center of gravity | |
Elastic coefficient of urban expansion |
Average Growth Rate of Area | Average Population Growth Rate | Elastic Coefficient | |
---|---|---|---|
1995–2000 | 0.169 | 0.090 | 1.875 |
2000–2005 | 0.262 | 0.128 | 2.053 |
2005–2010 | 0.071 | 0.276 | 0.257 |
2010–2015 | 0.119 | 0.107 | 1.120 |
2015–2020 | −0.001 | −0.008 | 0.084 |
Number of Permanent Residents | Socioeconomic Indicators (Gross Domestic Product) | Traffic Condition Indicators (Number of Public Transport Operations) | Livability Index(Green Area) | |
---|---|---|---|---|
Construction land area | 0.985 ** | 0.972 ** | 0.737 | 0.968 ** |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Zhang, J.; Han, J.; Li, Y.; Lei, N. Spatiotemporal Analysis of Urban Expansion in Beijing, China. Appl. Sci. 2024, 14, 9369. https://doi.org/10.3390/app14209369
Zhang J, Han J, Li Y, Lei N. Spatiotemporal Analysis of Urban Expansion in Beijing, China. Applied Sciences. 2024; 14(20):9369. https://doi.org/10.3390/app14209369
Chicago/Turabian StyleZhang, Jing, Jichang Han, Yanan Li, and Na Lei. 2024. "Spatiotemporal Analysis of Urban Expansion in Beijing, China" Applied Sciences 14, no. 20: 9369. https://doi.org/10.3390/app14209369