Simulation of Lanzhou urban land expansion based on multi-agent model

doi:10.13287/j.1001-9332.202106.014

Abstract

Abstract: Using the four periods of land use data and socio-economic statistics of Lanzhou City in 1995, 2005, 2015 and 2018, we examined the evolution characteristics and driving forces of urban land use in Lanzhou, with expansion intensity index, Logistic regression, and principal component analysis method. Based on the multi-agent model, the expansion of urban land use in Lanzhou under multiple scenarios in 2025 was simulated using Netlogo software. The results showed that the intensity and scale of urban land expansion in Lanzhou City from 1995 to 2018 showed an increasing trend, with a total of 307 km² of cultivated land and water area. The expansion of urban land in Lanzhou City was significantly related to regional GDP, social fixed asset investment, population density, population, policy, and terrain. The multi-agent model on the Netlogo software could simulate the expansion trend of urban land in Lanzhou, which provided a reliable simulation method for the expansion of valley-type cities. From 2020 to 2025, urban land use under the comprehensive development scenario, natural expansion development scenario, ecological and farmland protection development scenario all showed an increasing trend. The scale of expansion would range between 42.6-134.3 km². The expansion mode would mainly be infilled expansion. Our results could provide decision support for the land space planning and ecological environment layout optimization for Lanzhou City.

Key words: urban land expansion, temporal and spatial characteristics, multi-agent model, scenario simulation, Lanzhou City

WANG Zi-yang, SHI Pei-ji, ZHANG Xue-bin, WANG Ying-shu, XIE Xiao-yi. Simulation of Lanzhou urban land expansion based on multi-agent model[J]. Chinese Journal of Applied Ecology, 2021, 32(6): 2169-2179.

References

[1] 张博胜, 杨子生. 中国城镇化的农村减贫及其空间溢出效应——基于省级面板数据的空间计量分析. 地理研究, 2020, 39(7): 1592-1608 [Zhang B-S, Yang Z-S. Rural poverty reduction and its spatial spillover effects of Chinese urbanization: Based on the analysis of spatial econometric model with provincial panel data. Geographical Research, 2020, 39(7): 1592-1608]
[2] 周俊俊, 樊新刚, 杨美玲, 等. 县域生态效率驱动机制对比——以宁南山区3县为例. 应用生态学报, 2020, 31(1): 239-248 [Zhou J-J, Fan X-G, Yang M-L, et al. Comparison on driving mechanism of county ecological efficiency: With three counties in the mountainous area of southern Ningxia, China as an example. Chinese Journal of Applied Ecology, 2020, 31(1): 239-248]
[3] Tong HL, Shi PJ, Bao SH, et al. Optimization of urban land development spatial allocation based on ecology-economy comparative advantage perspective. Journal of Urban Planning and Development, 2018, DOI: 10.1061/(ASCE)UP.1943-5444.0000444
[4] 陈喜东, 石培基, 王川, 等. 不同情景下河谷型城市建设用地扩张的景观生态格局响应——以兰州市为例. 生态学杂志, 2018, 37(11): 3381-3389 [Chen X-D, Shi P-J, Wang C, et al. Responses of landscape ecological pattern to the expansion of urban construction land in river valley city under different scenarios: A case study of Lanzhou. Chinese Journal of Ecology, 2018, 37(11): 3381-3389]
[5] 张丽芳, 方创琳, 高倩. 天山北坡城市群城市景观时空扩张过程及多情景模拟. 生态学报, 2021, 41(4): 1-13 [Zhang L-F, Fang C-L, Gao Q. Spatial and temporal expansion of urban landscape and multi-scene simu-lation of urban agglomeration in the northern slope of Tianshan Mountains. Acta Ecologica Sinica, 2021, 41(4): 1-13]
[6] 白硕, 杨永春, 史坤博, 等. 中国西部河谷型城市土地利用效益与城市化耦合协调发展研究. 世界地理研究, 2016, 25(6): 87-95 [Bai S, Yang Y-C, Shi K-B, et al. The research on the coupling and coordination development between urban land use benefits and urbanization of valley city in Western China. World Regional Studies, 2016, 25(6): 87-95]
[7] 谢中凯, 李飞雪, 李满春, 等. 政府规划约束下的城市空间增长多智能体模拟模型. 地理与地理信息科学, 2015, 31(2): 60-64 [Xie Z-K, Li F-X, Li M-C, et al. Multi-agent-based simulation model of urban spatial expansion under government planning. Geography and Geo-Information Science, 2015, 31(2): 60-64]
[8] Lao X, Shen TY, Gu HY. Prospect on China's urban system by 2020: Evidence from the prediction based on internal migration network. Sustainability, 2018, 10: 1-21
[9] 黎夏, 叶嘉安. 约束性单元自动演化CA模型及可持续城市发展形态的模拟. 地理学报, 1999, 54(4): 3-5 [Li X, Ye J-A. Constrained cellular automata for modelling sustainable urban forms. Acta Geographica Sinica, 1999, 54(4): 3-5]
[10] 吴春华, 胡远满, 黄培泉. 基于SLEUTH模型的阜新市城市扩展模拟. 应用生态学报, 2014, 25(9): 2671-2676 [Wu C-H, Hu Y-M, Huang P-Q. Simulation of urban expansion based on SLEUTH model in Fuxin City, Northeast China. Chinese Journal of Applied Ecology, 2014, 25(9): 2671-2676]
[11] 刘小平, 黎夏, 艾彬, 等. 基于多智能体的土地利用模拟与规划模型. 地理学报, 2006, 61(10): 1101-1112 [Liu X-P, Li X, Ai B, et al. Multi-agent systems for simulating and planning land use development. Acta Geographica Sinica, 2006, 61(10): 1101-1112]
[12] 张龙飞, 赵筱青, 谢鹏飞. 基于MAS模型的土地利用空间优化研究方法综述. 云南地理环境研究, 2014, 26(4): 28-34 [Zhang L-F, Zhao X-Q, Xie P-F. Research summary based on MAS model of land use spatial optimization methods. Yunnan Geographic Environment Research, 2014, 26(4): 28-34]
[13] 全泉, 田光进, 沙默泉. 基于多智能体与元胞自动机的上海城市扩展动态模拟. 生态学报, 2011, 31(10): 2875-2887 [Quan Q, Tian G-J, Sha M-Q. Dynamic simulation of Shanghai urban expansion based on multi-agent system and cellular automata models. Acta Ecologica Sinica, 2011, 31(10): 2875-2887]
[14] Veen AVD, Otter HS. Land use changes in regional economic theory. Environmental Modeling & Assessment, 2001, 6: 145-150
[15] Tian G, Ouyang Y, Quan Q, et al. Simulating spatiotemporal dynamics of urbanizationwith multi-agent systems: A case study of the Phoenix metropolitan region, USA. Ecological Modelling, 2011, 222: 1129-1138
[16] 张惠, 张志强. 石羊河流域城镇化用地空间扩展分析. 冰川冻土, 2017, 39(4): 926-934 [Zhang H, Zhang Z-Q. Analysis of spatial expansion of urban land in Shiyang River basin. Journal of Glaciology and Geocryology, 2017, 39(4): 926-934]
[17] 李骞国, 王录仓, 严翠霞, 等. 基于生境质量的绿洲城镇空间扩展模拟研究——以黑河中游地区为例. 生态学报, 2020, 40(9): 2920-2931 [ Li Q-G, Wang L-C, Yan C-X, et al. Simulation of urban spatial expansion in oasis towns based on habitat quality: A case study of the middle reaches of Heihe River. Acta Ecolo-gica Sinica, 2020, 40(9): 2920-2931]
[18] 李俊, 董锁成, 李宇, 等. 宁蒙沿黄地带城镇用地扩展驱动力分析与情景模拟. 自然资源学报, 2015, 30(9): 1472-1485 [Li J, Dong S-C, Li Y, et al. Dri-ving force analysis and scenario simulation of urban land expansion in Ningxia-Inner Mongolia Area along the Yellow River. Journal of Natural Resources, 2015, 30(9): 1472-1485]
[19] 黄金川, 林浩曦. 京津冀城市群多情景空间演化模拟. 地理研究, 2017, 36(3): 506-517 [Huang J-C, Lin H-X. Spatial evolution analysis and multi-scenarios simulation of Beijing-Tianjin-Hebei Urban Agglomeration. Geographical Research, 2017, 36(3): 506-517]
[20] 杨忍, 徐茜, 李璐婷. 珠三角地区城乡空间转型过程及影响因素. 地理研究, 2016, 35(12): 2261-2272 [Yang R, Xu Q, Li L-T. Spatial urban-rural transformation and its driving factors in the Pearl River Delta region. Geographical Research, 2016, 35(12): 2261-2272]
[21] 徐新良, 刘纪远, 张树文, 等. 中国多时期土地利用土地覆被遥感监测数据集 [EB/OL]. (2018-11-11) [2021-01-01]. http://www.resdc.cn/DOI [Xu X-L, Liu J-Y, Zhang S-W, et al. China Multi-period Land Use and Land Cover Remote Sensing Monitoring Data Set [EB/OL]. (2018-11-11) [2021-01-01]. http://www.resdc.cn/DOI ]
[22] 陶海燕, 黎夏, 陈晓翔. 基于多智能体的居住空间格局演变的真实场景模拟. 地理学报, 2009, 64(6): 665-676 [Tao H-Y, Li X, Chen X-X. Simulation for evolvement of residential spatial patterns in real scene based on multi-agent. Acta Geographica Sinica, 2009, 64(6): 665-676]
[23] 贺振, 赵文亮, 贺俊平. 郑州市城市扩张遥感动态监测及驱动力分析. 地理研究, 2011, 30(12): 2272-2280 [He Z, Zhao W-L, He J-P. Remote sensing monitoring of urban sprawl based on object-oriented and dri-ving forces analysis: A case study of Zhengzhou City. Geographical Research, 2011, 30(12): 2272-2280]
[24] 唐艳, 杨永春, 贾伟, 等. 西宁市2001—2016年空间扩展及驱动力分析. 兰州大学学报:自然科学版, 2019, 55(3): 365-372 [Tang Y, Yang Y-C, Jia W, et al. Spatial expansion of and driving forces for Xining in 2001-2016. Journal of Lanzhou University: Natural Sciences, 2019, 55(3): 365-372]
[25] 韦素琼, 陈健飞. 闽台建设用地变化与工业化耦合的对比分析. 地理研究, 2006, 25(1): 87-95 [Wei S-Q, Chen J-F. A comparative research of coupled construction land change and industrialization between Fujian and Taiwan provinces. Geographical Research, 2006, 25(1): 87-95]
[26] Hang J, Wang K, Song GX, et al. Application of multi-agent models to urban expansion in medium and small cities: A case study in Fuyang City, Zhejiang Province, China. Chinese Geographical Science, 2013, 23: 754-764
[27] 刘润姣, 蒋涤非, 石磊. 基于多智能体建模技术的城市用地时空演化研究. 地理科学, 2017, 37(4): 537-545 [Liu R-J, Jiang D-F, Shi L. Urban land use develo-pment research based on multi-agent simulation system. Scientia Geographica Sinica, 2017, 37(4): 537-545]
[28] 邹秀清, 谢美辉, 肖泽干, 等. 江西省农业人口转移对城市建设用地增加的影响. 资源科学, 2018, 40(8): 1515-1525 [Zou X-Q, Xie M-H, Xiao Z-G, et al. An empirical study on the influence of agricultural population transfer on urban construction land increase in Jiangxi Province. Resources Science, 2018, 40(8): 1515-1525]
[29] Pontius JG, Spencer JJ. Uncertainty in extrapolations of predictive land-change models. Environment and Planning B: Planning and Design, 2005, 32: 211-230
[30] 韩孟飞. 兰州市城市扩展及驱动因素分析. 硕士论文. 兰州: 兰州大学, 2017 [Han M-F. The Analysis on Urban Expansion and the Driving Factors of Lanzhou. Master Thesis. Lanzhou: Lanzhou University, 2017]
[31] 李晓燕, 李慧颖, 满卫东, 等. 哈长城市群城镇用地扩展进程及其驱动因素研究. 地理科学, 2018, 38(8): 1273-1282 [Li X-Y, Li H-Y, Man W-D, et al. Process and driving factors of urban land expansion in Harbin-Changchun City Cluster. Scientia Geographica Sinica, 2018, 38(8): 1273-1282]