探索长株潭城市群建设用地的时空变化及重心移动（英文）
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摘要
Urban agglomeration is caused by the continuous acceleration of the urbanization process in China. Studying the expansion of construction land can not only know the changes and development of urban agglomeration in time, but also obtain the great significance of the future management. In this study, taking Changsha-Zhuzhou-Xiangtan(Chang-Zhu-Tan) urban agglomeration in Hunan province as a study area, Landsat images from 1995 to 2014 and Autologistic-CLUE-S model simulation data were used. Moreover, several factors including gravity center, direction, distance and landscape index were considered in the analysis of the expansion. The results revealed that the construction area increased by 132.18%, from 372.28 km~2 in 1995 to 864.37 km~2 in 2014. And it might even reach 1327.23 km~2 in 2023. Before 2014, three cities had their own respective and discrete development directions. However, because of the integration policy implementation in 2008, the Chang-Zhu-Tan began to gather, the gravity center moved southward after 2014, and the distance between cities decreased, which was in line with the development plan of urban expansion. The research methods and results were relatively reliable, and these results could provide some reference for the future land use planning and spatial allocation in the urbanization process of Chang-Zhu-Tan urban agglomeration.
Urban agglomeration is caused by the continuous acceleration of the urbanization process in China. Studying the expansion of construction land can not only know the changes and development of urban agglomeration in time, but also obtain the great significance of the future management. In this study, taking Changsha-Zhuzhou-Xiangtan(Chang-Zhu-Tan) urban agglomeration in Hunan province as a study area, Landsat images from 1995 to 2014 and Autologistic-CLUE-S model simulation data were used. Moreover, several factors including gravity center, direction, distance and landscape index were considered in the analysis of the expansion. The results revealed that the construction area increased by 132.18%, from 372.28 km~2 in 1995 to 864.37 km~2 in 2014. And it might even reach 1327.23 km~2 in 2023. Before 2014, three cities had their own respective and discrete development directions. However, because of the integration policy implementation in 2008, the Chang-Zhu-Tan began to gather, the gravity center moved southward after 2014, and the distance between cities decreased, which was in line with the development plan of urban expansion. The research methods and results were relatively reliable, and these results could provide some reference for the future land use planning and spatial allocation in the urbanization process of Chang-Zhu-Tan urban agglomeration.
Urban agglomeration is caused by the continuous acceleration of the urbanization process in China. Studying the expansion of construction land can not only know the changes and development of urban agglomeration in time, but also obtain the great significance of the future management. In this study, taking Changsha-Zhuzhou-Xiangtan(Chang-Zhu-Tan) urban agglomeration in Hunan province as a study area, Landsat images from 1995 to 2014 and Autologistic-CLUE-S model simulation data were used. Moreover, several factors including gravity center, direction, distance and landscape index were considered in the analysis of the expansion. The results revealed that the construction area increased by 132.18%, from 372.28 km~2 in 1995 to 864.37 km~2 in 2014. And it might even reach 1327.23 km~2 in 2023. Before 2014, three cities had their own respective and discrete development directions. However, because of the integration policy implementation in 2008, the Chang-Zhu-Tan began to gather, the gravity center moved southward after 2014, and the distance between cities decreased, which was in line with the development plan of urban expansion. The research methods and results were relatively reliable, and these results could provide some reference for the future land use planning and spatial allocation in the urbanization process of Chang-Zhu-Tan urban agglomeration.
引文
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Chen Y,Chen Z G,Xu G L et al.,2016.Built-up land efficiency in urban China:Insights from the general land use plan(2006-2020).Habitat International,51:31-38.
Chen Z G,Wang Q,Huang X J et al.,2007.Movement of urban agglomeration gravity and its driving forces in the Changjiang(Yangtze)Delta of China.Scientia Geographica Sinica,27(4):457-462.(in Chinese)
Deng F F,Huang Y Q,2004.Uneven land reform and urban sprawl in China:The case of Beijing.Progress in Planning,61(3):211-236.
Fu J,Gao Z G,Huang L Y et al.,2011.The movement route of consumption gravity center of Xinjiang from 1965to 2009 based on GIS.Procedia Earth and Planetary Science,2(1):321-326.
Geist H J,Lambin E F,2002.Proximate causes and underlying driving forces of tropical deforestation.Bioscience,52(2):143-150.
Han L J,Zhou W Q,Li W F,2016.Fine particulate(PM2.5)dynamics during rapid urbanization in Beijing,1973-2013.Scientific Reports,6:23604.
Hu L,Jiang C Y,Li Z B et al.,2011.Evolution path analysis of economic gravity center and air pollutants gravity center in Shaanxi province.Advanced Materials Research,361-363:1359-1363.
Jiang W G,Chen Z,Lei X et al.,2015.Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model.Journal of Geographical Sciences,25(7):836-850.
Jiang W G,Chen Z,Lei X et al.,2016.Simulation of urban agglomeration ecosystem spatial distributions under different scenarios:A case study of the Changsha-Zhuzhou-Xiangtan urban agglomeration.Ecological Engineering,88:112-121.
Jiang W G,Deng Y,Tang Z H et al.,2017.Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models.Ecological Modelling,345:30-40.
Li Y F,Liu G H,Huang C,2017.Dynamic changes analysis and hotspots detection of land use in the central core functional area of Jing-Jin-Ji from 2000 to 2015 based on remote sensing data.Mathematical Problems in Engineering,2017(3):1-16.
Liu D D,Chen N C,2017.Satellite monitoring of urban land change in the middle Yangtze River Basin urban agglomeration,China between 2000 and 2016.Remote Sensing,9(11):1086.
Lourdes L,Karina Z,Pedro L et al.,2011.A dynamic simulation model of land cover in the Dulce Creek Basin,Argentina.Procedia Environmental Sciences,7:194-199.
Lv Z Q,Dai F Q,Sun C,2012.Evaluation of urban sprawl and urban landscape pattern in a rapidly developing region.Environmental Monitoring and Assessment,184(10):6437-6448.
Pal M,Foody G M,2010.Feature selection for classification of hyperspectral data by SVM.IEEE Transactions on Geoscience and Remote Sensing,48(5):2297-2307.
Peng J,Zhao M Y,Guo X N et al.,2017.Spatial-temporal dynamics and associated driving forces of urban ecological land:A case study in Shenzhen City,China.Habitat International,60:81-90.
Price B,Kienast F,Seidl I et al.,2015.Future landscapes of Switzerland:Risk areas for urbanisation and land abandonment.Applied Geography,57:32-41.
Pontius R G,2000.Quantification error versus location error in comparison of categorical maps.Photogrammetric Engineering and Remote Sensing,66(8):1011-1016.
Puertas O L,Henríquez C,Meza F J,2014.Assessing spatial dynamics of urban growth using an integrated land use model.Application in Santiago Metropolitan Area,2010-2045.Land Use Policy,38:415-425.
Quan B,Xiao Z K,R?mkens M J M et al.,2013.Spatiotemporal urban land use changes in the Changzhutan region of Hunan province in China.Journal of Geographic Information System,5(2):136-147.
Rafiee R,Mahiny A S,Khorasani N et al.,2009.Simulating urban growth in Mashad City,Iran through the SLEUTH model(UGM).Cities,26(1):19-26.
Seto K C,Fragkias M,2005.Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics.Landscape Ecology,20(7):871-888.
Silva E A,Clarke K C,2002.Calibration of the SLEUTH urban growth model for Lisbon and Porto,Portugal.Computers,Environment and Urban Systems,26(6):525-552.
Sun Y,Zhao S Q,2018.Spatiotemporal dynamics of urban expansion in 13 cities across the Jing-Jin-Ji urban agglomeration from 1978 to 2015.Ecological Indicators,87:302-313.
Tang F H,Chen L L,2011.The evolution of regional differences of Chang-Zhu-Tan urban agglomeration since the 1990.Geographical Research,30(1):94-102.(in Chinese)
Vasenev V I,Stoorvogel J J,Leemans R et al.,2018.Projection of urban expansion and related changes in soil carbon stocks in the Moscow Region.Journal of Cleaner Production,170:902-914.
Veldkamp A,Fresco L O,1996.CLUE:A conceptual model to study the conversion of land use and its effects.Ecological Modelling,85(2/3):253-270.
Veldkamp A,Fresco L O,1997.Exploring land use scenarios,an alternative approach based on actual land use.Agricultural Systems,55(1):1-17.
Verburg P H,Schulp C J E,Witte N et al.,2006.Downscaling of land use change scenarios to assess the dynamics of European landscapes.Agriculture,Ecosystems and Environment,114(1):39-56.
Verburg P H,Soepboer W,Veldkamp A et al.,2002.Modeling the spatial dynamics of regional land use:The CLUE-S model.Environmental Management,30(3):391-405.
Wang C D,Wang Y T,Wang R Q et al.,2018.Modeling and evaluating land-use/land-cover change for urban planning and sustainability:A case study of Dongying city,China.Journal of Cleaner Production,172:1529-1534.
Wang W W,Zhang M,Li P,2014.Exploring temporal and spatial evolution of global energy production and consumption.Renewable and Sustainable Energy Reviews,30:943-949.
Wei Y D,Li H,Yue W Z,2017.Urban land expansion and regional inequality in transitional China.Landscape and Urban Planning,163:17-31.
Wu D Q,Liu J,Zhang G S et al.,2009.Incorporating spatial autocorrelation into cellular automata model:An application to the dynamics of Chinese tamarisk(Tamarix Chinensis Lour.).Ecological Modelling,220(24):3490-3498.
Wu Y Z,Zhang X L,Shen L Y,2011.The impact of urbanization policy on land use change:A scenario analysis.Cities,28(2):147-159.
Xu J H,Zhao Y,Zhong K W et al.,2018.Measuring spatio-temporal dynamics of impervious surface in Guangzhou,China,from 1988 to 2015,using time-series Landsat imagery.Science of the Total Environment,627:264-281.
Yang Y Y,Liu Y S,Li Y R et al.,2018.Quantifying spatio-temporal patterns of urban expansion in Beijing during1985-2013 with rural-urban development transformation.Land Use Policy,74:220-230.
Yu B L,Shu S,Liu H X et al.,2014.Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images:A case study of China.International Journal of Geographical Information Science,28(11):2328-2355.
Yuan C Q,Liu S F,Fang Z G,2016.Comparison of China’s primary energy consumption forecasting by using ARIMA(the autoregressive integrated moving average)model and GM(1,1)model.Energy,100:384-390.
Zeng C,Liu Y L,Stein A et al.,2015.Characterization and spatial modeling of urban sprawl in the Wuhan Metropolitan Area,China.International Journal of Applied Earth Observation and Geoinformation,34(1):10-24.
Zeng C,Yang L D,Dong J N,2017.Management of urban land expansion in China through intensity assessment:A big data perspective.Journal of Cleaner Production,153:637-647.
Zhang Y,Zhang J Y,Yang Z F et al.,2012.Analysis of the distribution and evolution of energy supply and demand centers of gravity in China.Energy Policy,49(10):695-706.
Zhao X F,Huang X J,Zhang X Y et al.,2010.Evolution of economic and COD,SO2,TSP emission gravity centers in Jiangsu province.Resources and Environment in the Yangtze Basin,19(3):225-230.(in Chinese)
Zhou W Q,Huang G L,Cadenasso M L,2011.Does spatial configuration matter?Understanding the effects of land cover pattern on land surface temperature in urban landscapes.Landscape and Urban Planning,102(1):54-63.
Zou Y H,Peng H Q,Liu G et al.,2017.Monitoring urban clusters expansion in the middle reaches of the Yangtze River,China,using time-series nighttime light images.Remote Sensing,9(10):1007.
Castella J C,Kam S P,Quang D D et al.,2007.Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies:Application to sustainable management of natural resources in northern Vietnam.Land Use Policy,24(3):531-545.
Chen Y,Chen Z G,Xu G L et al.,2016.Built-up land efficiency in urban China:Insights from the general land use plan(2006-2020).Habitat International,51:31-38.
Chen Z G,Wang Q,Huang X J et al.,2007.Movement of urban agglomeration gravity and its driving forces in the Changjiang(Yangtze)Delta of China.Scientia Geographica Sinica,27(4):457-462.(in Chinese)
Deng F F,Huang Y Q,2004.Uneven land reform and urban sprawl in China:The case of Beijing.Progress in Planning,61(3):211-236.
Fu J,Gao Z G,Huang L Y et al.,2011.The movement route of consumption gravity center of Xinjiang from 1965to 2009 based on GIS.Procedia Earth and Planetary Science,2(1):321-326.
Geist H J,Lambin E F,2002.Proximate causes and underlying driving forces of tropical deforestation.Bioscience,52(2):143-150.
Han L J,Zhou W Q,Li W F,2016.Fine particulate(PM2.5)dynamics during rapid urbanization in Beijing,1973-2013.Scientific Reports,6:23604.
Hu L,Jiang C Y,Li Z B et al.,2011.Evolution path analysis of economic gravity center and air pollutants gravity center in Shaanxi province.Advanced Materials Research,361-363:1359-1363.
Jiang W G,Chen Z,Lei X et al.,2015.Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model.Journal of Geographical Sciences,25(7):836-850.
Jiang W G,Chen Z,Lei X et al.,2016.Simulation of urban agglomeration ecosystem spatial distributions under different scenarios:A case study of the Changsha-Zhuzhou-Xiangtan urban agglomeration.Ecological Engineering,88:112-121.
Jiang W G,Deng Y,Tang Z H et al.,2017.Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models.Ecological Modelling,345:30-40.
Li Y F,Liu G H,Huang C,2017.Dynamic changes analysis and hotspots detection of land use in the central core functional area of Jing-Jin-Ji from 2000 to 2015 based on remote sensing data.Mathematical Problems in Engineering,2017(3):1-16.
Liu D D,Chen N C,2017.Satellite monitoring of urban land change in the middle Yangtze River Basin urban agglomeration,China between 2000 and 2016.Remote Sensing,9(11):1086.
Lourdes L,Karina Z,Pedro L et al.,2011.A dynamic simulation model of land cover in the Dulce Creek Basin,Argentina.Procedia Environmental Sciences,7:194-199.
Lv Z Q,Dai F Q,Sun C,2012.Evaluation of urban sprawl and urban landscape pattern in a rapidly developing region.Environmental Monitoring and Assessment,184(10):6437-6448.
Pal M,Foody G M,2010.Feature selection for classification of hyperspectral data by SVM.IEEE Transactions on Geoscience and Remote Sensing,48(5):2297-2307.
Peng J,Zhao M Y,Guo X N et al.,2017.Spatial-temporal dynamics and associated driving forces of urban ecological land:A case study in Shenzhen City,China.Habitat International,60:81-90.
Price B,Kienast F,Seidl I et al.,2015.Future landscapes of Switzerland:Risk areas for urbanisation and land abandonment.Applied Geography,57:32-41.
Pontius R G,2000.Quantification error versus location error in comparison of categorical maps.Photogrammetric Engineering and Remote Sensing,66(8):1011-1016.
Puertas O L,Henríquez C,Meza F J,2014.Assessing spatial dynamics of urban growth using an integrated land use model.Application in Santiago Metropolitan Area,2010-2045.Land Use Policy,38:415-425.
Quan B,Xiao Z K,R?mkens M J M et al.,2013.Spatiotemporal urban land use changes in the Changzhutan region of Hunan province in China.Journal of Geographic Information System,5(2):136-147.
Rafiee R,Mahiny A S,Khorasani N et al.,2009.Simulating urban growth in Mashad City,Iran through the SLEUTH model(UGM).Cities,26(1):19-26.
Seto K C,Fragkias M,2005.Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics.Landscape Ecology,20(7):871-888.
Silva E A,Clarke K C,2002.Calibration of the SLEUTH urban growth model for Lisbon and Porto,Portugal.Computers,Environment and Urban Systems,26(6):525-552.
Sun Y,Zhao S Q,2018.Spatiotemporal dynamics of urban expansion in 13 cities across the Jing-Jin-Ji urban agglomeration from 1978 to 2015.Ecological Indicators,87:302-313.
Tang F H,Chen L L,2011.The evolution of regional differences of Chang-Zhu-Tan urban agglomeration since the 1990.Geographical Research,30(1):94-102.(in Chinese)
Vasenev V I,Stoorvogel J J,Leemans R et al.,2018.Projection of urban expansion and related changes in soil carbon stocks in the Moscow Region.Journal of Cleaner Production,170:902-914.
Veldkamp A,Fresco L O,1996.CLUE:A conceptual model to study the conversion of land use and its effects.Ecological Modelling,85(2/3):253-270.
Veldkamp A,Fresco L O,1997.Exploring land use scenarios,an alternative approach based on actual land use.Agricultural Systems,55(1):1-17.
Verburg P H,Schulp C J E,Witte N et al.,2006.Downscaling of land use change scenarios to assess the dynamics of European landscapes.Agriculture,Ecosystems and Environment,114(1):39-56.
Verburg P H,Soepboer W,Veldkamp A et al.,2002.Modeling the spatial dynamics of regional land use:The CLUE-S model.Environmental Management,30(3):391-405.
Wang C D,Wang Y T,Wang R Q et al.,2018.Modeling and evaluating land-use/land-cover change for urban planning and sustainability:A case study of Dongying city,China.Journal of Cleaner Production,172:1529-1534.
Wang W W,Zhang M,Li P,2014.Exploring temporal and spatial evolution of global energy production and consumption.Renewable and Sustainable Energy Reviews,30:943-949.
Wei Y D,Li H,Yue W Z,2017.Urban land expansion and regional inequality in transitional China.Landscape and Urban Planning,163:17-31.
Wu D Q,Liu J,Zhang G S et al.,2009.Incorporating spatial autocorrelation into cellular automata model:An application to the dynamics of Chinese tamarisk(Tamarix Chinensis Lour.).Ecological Modelling,220(24):3490-3498.
Wu Y Z,Zhang X L,Shen L Y,2011.The impact of urbanization policy on land use change:A scenario analysis.Cities,28(2):147-159.
Xu J H,Zhao Y,Zhong K W et al.,2018.Measuring spatio-temporal dynamics of impervious surface in Guangzhou,China,from 1988 to 2015,using time-series Landsat imagery.Science of the Total Environment,627:264-281.
Yang Y Y,Liu Y S,Li Y R et al.,2018.Quantifying spatio-temporal patterns of urban expansion in Beijing during1985-2013 with rural-urban development transformation.Land Use Policy,74:220-230.
Yu B L,Shu S,Liu H X et al.,2014.Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images:A case study of China.International Journal of Geographical Information Science,28(11):2328-2355.
Yuan C Q,Liu S F,Fang Z G,2016.Comparison of China’s primary energy consumption forecasting by using ARIMA(the autoregressive integrated moving average)model and GM(1,1)model.Energy,100:384-390.
Zeng C,Liu Y L,Stein A et al.,2015.Characterization and spatial modeling of urban sprawl in the Wuhan Metropolitan Area,China.International Journal of Applied Earth Observation and Geoinformation,34(1):10-24.
Zeng C,Yang L D,Dong J N,2017.Management of urban land expansion in China through intensity assessment:A big data perspective.Journal of Cleaner Production,153:637-647.
Zhang Y,Zhang J Y,Yang Z F et al.,2012.Analysis of the distribution and evolution of energy supply and demand centers of gravity in China.Energy Policy,49(10):695-706.
Zhao X F,Huang X J,Zhang X Y et al.,2010.Evolution of economic and COD,SO2,TSP emission gravity centers in Jiangsu province.Resources and Environment in the Yangtze Basin,19(3):225-230.(in Chinese)
Zhou W Q,Huang G L,Cadenasso M L,2011.Does spatial configuration matter?Understanding the effects of land cover pattern on land surface temperature in urban landscapes.Landscape and Urban Planning,102(1):54-63.
Zou Y H,Peng H Q,Liu G et al.,2017.Monitoring urban clusters expansion in the middle reaches of the Yangtze River,China,using time-series nighttime light images.Remote Sensing,9(10):1007.