Simulating the Coupling of Rural Settlement Expansion and Population Growth in Deqing, Zhejiang Province, Based on MCCA Modeling

Analyzing the relationship between rural settlements and rural population change under different policy scenarios is key in the sustainable development of China’s urban and rural areas. We proposed a framework that comprised the mixed land use structure simulation (MCCA) model and the human–land coupling development model to assess the spatiotemporal dynamic changes in rural settlements and its’ coupling relationship with the rural population in the economically developed region of Deqing, Zhejiang Province. The results showed that rural settlements and urban land increased by 14.36 and 29.07 km2, respectively, over the last 20 years. The expansion of some rural settlements and urban land occurred at the cost of cropland occupation. Rural settlements showed an expansion trend from 2000 to 2020, increasing from 42.69 km2 in 2000 to 57.05 km2 in 2020. In 2035, under the natural development scenario, the cropland protection scenario, and the rural development scenario, rural settlements are projected to show an expansion trend and Wukang and Leidian are the key regions with rural settlement expansion. The distance to Hangzhou, nighttime light data, distance to rivers, and precipitation are important factors influencing the expansion of rural settlements. The coupling relationship between rural settlements and the rural population developed in a coordinated manner from 2000 to 2020. For 2035, under different scenarios, the coupling relationship between rural settlements and the rural population showed different trends. In the rural development scenario, the highest number of towns with coordinated development between rural settlements and the rural population is in Deqing, predominantly with Type I coupling. Overall, an important recommendation from this study is that the sustainable development of regional land use can be promoted by controlling the occupation of cropland for urban and rural construction, balancing rural settlement expansion and rural population growth, and formulating land use policies that are more suitable for rural development.

[1]  Xiansheng Liu,et al.  A cross-scale study on the relationship between urban expansion and ecosystem services in China. , 2022, Journal of environmental management.

[2]  Wei Song,et al.  Discerning Spatiotemporal Patterns and Policy Drivers of Rural Settlement Changes from 1962 to 2020 , 2022, Land.

[3]  F. Tao,et al.  Spatiotemporal change of the residential travel structure considering urban function areas , 2022, Sustainable Cities and Society.

[4]  Yifan Xie,et al.  Land Use Change under Population Migration and Its Implications for Human–Land Relationship , 2022, Land.

[5]  R. Guo,et al.  Simulation of Urban Land Expansion Under Ecological Constraints in Harbin-Changchun Urban Agglomeration, China , 2022, Chinese Geographical Science.

[6]  Ren Wei,et al.  MBNet: Multi-Branch Network for Extraction of Rural Homesteads Based on Aerial Images , 2022, Remote. Sens..

[7]  Yu Tao,et al.  Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China , 2022, Remote. Sens..

[8]  Weiliang Fan,et al.  Simulating Future LUCC by Coupling Climate Change and Human Effects Based on Multi-Phase Remote Sensing Data , 2022, Remote. Sens..

[9]  Wei Song,et al.  Decoupling Analysis between Rural Population Change and Rural Construction Land Changes in China , 2022, Land.

[10]  Shuangxi Zhou,et al.  Integrating a mixed‐cell cellular automata model and Bayesian belief network for ecosystem services optimization to guide ecological restoration and conservation , 2022, Land Degradation & Development.

[11]  T. Kabanda Using land cover, population, and night light data to assess urban expansion in Kimberley, South Africa , 2022, South African Geographical Journal.

[12]  Chenxi Li,et al.  Land use transformation and eco-environmental effects based on production-living-ecological spatial synergy: evidence from Shaanxi Province, China , 2022, Environmental Science and Pollution Research.

[13]  Xin Li,et al.  Dynamic simulation of land use change and assessment of carbon storage based on climate change scenarios at the city level: A case study of Bortala, China , 2022, Ecological Indicators.

[14]  Manikandan Kamaraj,et al.  Predicting the future land use and land cover changes for Bhavani basin, Tamil Nadu, India, using QGIS MOLUSCE plugin , 2021, Environmental Science and Pollution Research.

[15]  Guoen Wei,et al.  Spatiotemporal Characteristics of Urban Land Expansion and Population Growth in Africa from 2001 to 2019: Evidence from Population Density Data , 2021, ISPRS Int. J. Geo Inf..

[16]  Qingfeng Guan,et al.  Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000-2019 , 2021, Remote. Sens..

[17]  Jiayao Wang,et al.  Analysis of Characteristics and Driving Factors of Wetland Landscape Pattern Change in Henan Province from 1980 to 2015 , 2021 .

[18]  Xun Liang,et al.  Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China , 2020, Comput. Environ. Urban Syst..

[19]  Song Guo,et al.  Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures , 2021 .

[20]  Hongyan Cai,et al.  Analysis of Spatial and Temporal Changes and Expansion Patterns in Mainland Chinese Urban Land between 1995 and 2015 , 2021, Remote. Sens..

[21]  Yasha Wang,et al.  Evaluating the Relationship between Urban Population Growth and Land Expansion from a Policymaking Perspective: Ningbo, China , 2020, Journal of Urban Planning and Development.

[22]  M. Alazaiza,et al.  The Prediction of Urban Growth Trends and Patterns using Spatio-temporal CA-MC Model in Seremban Basin , 2020, IOP Conference Series: Earth and Environmental Science.

[23]  Xiaoling Zhang,et al.  Urban–rural construction land transition and its coupling relationship with population flow in China's urban agglomeration region , 2020 .

[24]  Zhi-bin He,et al.  Assessing the effects of ecological engineering on carbon storage by linking the CA-Markov and InVEST models , 2019, Ecological Indicators.

[25]  Aiqi Chen,et al.  Decoupling of urban and rural construction land and population change in China at the prefectural level , 2019, 资源科学.

[26]  Ci-fang Wu,et al.  The dilemma of land expansion and governance in rural China: A comparative study based on three townships in Zhejiang Province , 2018 .

[27]  Xiaoping Liu,et al.  A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects , 2017 .

[28]  Yatao Zhang,et al.  Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata , 2017, Int. J. Geogr. Inf. Sci..

[29]  Weiguo Jiang,et al.  Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models , 2017 .

[30]  G. Espindola,et al.  Four decades of urban sprawl and population growth in Teresina, Brazil , 2017 .

[31]  许艳,et al.  江苏省城市化与经济增长的脱钩研究@@@Decoupling analysis between urbanization and economic growth in Jiangsu Province , 2017 .

[32]  Xinqi Zheng,et al.  Simulating land use change by integrating ANN-CA model and landscape pattern indices , 2016 .

[33]  Yaolin Liu,et al.  A comparative analysis of urban and rural construction land use change and driving forces: Implications for urban–rural coordination development in Wuhan, Central China , 2015 .

[34]  Yan-sui Liu,et al.  Problem regions and regional problems of socioeconomic development in China: A perspective from the coordinated development of industrialization, informatization, urbanization and agricultural modernization , 2014, Journal of Geographical Sciences.

[35]  Wei Song,et al.  Assessment of decoupling between rural settlement area and rural population in China , 2014 .

[36]  Nora L. Álvarez-Berríos,et al.  Contrasting Patterns of Urban Expansion in Colombia, Ecuador, Peru, and Bolivia Between 1992 and 2009 , 2013, AMBIO.

[37]  U. Simonis Decoupling Natural Resource Use & Environmental Impacts from Economic Growth , 2012 .

[38]  Long Hualou,et al.  Spatio-temporal Analysis of Population and Residential Land Change in Rural China , 2010 .

[39]  Jiewei Chen Rapid urbanization in China: A real challenge to soil protection and food security , 2007 .

[40]  Tian Guangjin,et al.  The Temporal-spatial Characteristics of Rural Residential Land in China in the 1990s , 2003 .

[41]  A. Veldkamp,et al.  CLUE: a conceptual model to study the Conversion of Land Use and its Effects , 1996 .