Characteristics and Prediction of Construction Land Expansionin Main Urban Area of Chongqing

FANG Yu-hong, LIU De-fu, WANG Li-jing, TAN De-bao, ZHANG Jia-lei, YANG Zheng-jian

Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (11) : 43-48.

PDF(1515 KB)
PDF(1515 KB)
Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (11) : 43-48. DOI: 10.11988/ckyyb.20160643
REMOTE SENSING TECHNOLOGY AND ITS APPLICATION

Characteristics and Prediction of Construction Land Expansionin Main Urban Area of Chongqing

  • FANG Yu-hong1,2,3, LIU De-fu1, WANG Li-jing2, TAN De-bao3, ZHANG Jia-lei1, YANG Zheng-jian1
Author information +
History +

Abstract

The expansion of construction land use needs to be predicted in consideration of the influence of spatial pattern factors. In this research, we take the main urban area of Chongqing city as study area to predict the spatial distributions of construction land use demand and newly built construction land in 2020 using the method of average growth rate of construction land in association with land use superiority evaluation of three spatial factors (elevation, slope, and original land-use type)by GIS technological means. Results indicate that1) between 2010 and 2016, the area of urban construction land in urban Chongqing has increased from 749.14 km2 to 905.06 km2, with an average annual growth rate of 3.35%; 2) newly built area were mainly transformed from cultivated land(accounting for 53.25%) and forest land(37.89%), and more likely located in the area of slope gradient smaller than 12°and elevation below 400m, especially in the range of 0-3° slope (24.44%)and 200-300 m elevation(47.60%); 3) up to 2020, the area of urban construction land will be increased by 115.31 km2, mainly transformed from cultivated land (56.24%) and distributed in the range of 200-300m elevation (47.45%) and 0-12°slope (58.39%), mainly located in Shapingba district, Jiulongpo district and Yubei district.

Key words

urban construction land / expansion prediction / spatial distribution / land use superiority evaluation / main urban area of Chongqing

Cite this article

Download Citations
FANG Yu-hong, LIU De-fu, WANG Li-jing, TAN De-bao, ZHANG Jia-lei, YANG Zheng-jian. Characteristics and Prediction of Construction Land Expansionin Main Urban Area of Chongqing[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(11): 43-48 https://doi.org/10.11988/ckyyb.20160643

References

[1]关 伟,王 宁. 基于灰色系统理论的大连城市建设用地需求预测.辽宁师范大学学报(自然科学版),2014,37(2):262-268.
[2]彭保发,胡曰利,吴远芬,等. 基于灰色系统模型的城乡建设用地规模预测——以常德市鼎城区为例.经济地理,2007,27(6):999-1002.
[3]周德凯. 基于土地利用的城镇交通需求预测研究. 南京:南京林业大学,2015.
[4]荣联伟,师学义,杨 静. 土地利用规划中建设用地预测方法比较.中国人口·资源与环境,2014,24(11):198-203.
[5]孔次芬,李月臣,简太敏. 基于RS与GIS重庆都市区土地利用/覆被变化过程及预测分析.水土保持研究,2012,19(2):205-209.
[6]张春华,王宗明,宋开山,等. 基于马尔可夫过程的三江平原土地利用动态变化预测. 遥感技术与应用,2009,24(2):210-216.
[7]林 芳. 建设用地需求量预测方法研究.福州:福建师范大学,2005.
[8]刘懿光. 土地利用规划需求量预测模型研究. 武汉:华中农业大学,2005.
[9]严 明. 土地利用总体规划中建设用地需求量预测方法研究——以四川省乐山市为例. 重庆:西南大学,2007.
[10]曲 凯. 土地利用/土地覆被变化的遥感监测及空间动态预测——以济南市为例.济南:山东师范大学,2007.
[11]马林兵,曹小曙,牟少杰.一种融合地理空间指标的土地需求量预测方法——以佛山市南海区为例. 地理研究,2011,30(5):854-860.
[12]韩会然,杨成凤,宋金平. 北京市土地利用空间格局演化模拟及预测. 地理科学进展,2015,34(8):976-986.
[13]王亭停. 海淀区土地利用动态变化研究及发展趋势预测.北京:中国地质大学,2015.
[14]陈 倩,马泽忠,郑 丽,等. 重庆山地城市区1985-2010年土地利用变化特征研究. 水土保持研究,2013,20(4):194-198.
[15]陈 丹,周启刚,何昌华,等. 重庆山地都市区1985-2010年土地利用变化地形特征分异研究. 水土保持研究,2013,20(5):761-765.
[16]章予舒,王立新,张红旗,等.疏勒河流域土地利用变化驱动因素分析———以安西县为例.地理科学进展,2003,22(3):270-278.
[17]金 畅.大连市住宅价格空间分异规律及驱动机制研究. 辽宁师范大学学报(自然科学版),2010,33(4):503-506.
[18]关 伟,王 雪.大连市土地利用变化的人文因素.地理研究,2009,28(7):990-1000.
[19]WACKERNAGEL M,ONISTO L,BELLO P,et al. National Natural Capital Accounting with the Ecological Foot-print Concept. Ecological Economics,1999,29(3):375-390.
[20]方喻弘,王丽婧,韩 梅,等. 面向流域水质安全预警的土地开发压力源评估方法及其应用.环境科学研究,2016,29(3):449-456.
[21]LEE L. Factors Affecting Land Use Change at the Urban-rural Fringe. Growth and Change,1979,10(4):25-31.
[21]周 扬,周廷刚,冯 冲. 基于RS和GIS的LUCC研究——以重庆市万州区为例. 长江科学院院报,2012,29(5):67-71.
[22]倪九派,邵景安,李阳兵,等. 近10年重庆土地利用平衡及未来情景分析. 资源科学,2011,33(8):1591-1599.

PDF(1515 KB)

Accesses

Citation

Detail

Sections
Recommended

/