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作 者:展开 胡海[1] 王海军[1,2,3] ZHAN Kai;HU Hai;WANG Haijun(School of Resource and Environment Science,Wuhan University,Wuhan 430070,China;Key Laboratory of National Territory Spatial Planning,Development and Protection,Ministry of Natural Resources of the People’s Republic of China,Beijing 100871,China;CAUPD Beijing Planning&Design Consultants Ltd.,Beijing 100044,China)
机构地区:[1]武汉大学资源与环境科学学院,武汉430070 [2]自然资源部国土空间规划与开发保护重点实验室,北京100871 [3]中规院(北京)规划设计有限公司,北京100044
出 处:《时空信息学报》2023年第2期252-259,共8页JOURNAL OF SPATIO-TEMPORAL INFORMATION
基 金:国家自然科学基金项目(42171411);自然资源部国土空间规划与开发保护重点实验室–中规院(北京)规划设计有限公司联合开放基金项目(TSPDP23/04)。
摘 要:城市道路是城市快速扩张的重要驱动因素。为了探究城市路网对城市扩张的影响力,本文以武汉为研究区,选取2000~2020年相关数据,利用贝叶斯网络、空间句法和地理探测器三种方法相结合来探究道路网络的影响力。研究共选用了13个驱动因子,其中,与道路相关的因子分别是道路密度、距道路距离、接近度和中间度。结果表明:道路密度、接近度、中间度3个因子在整个研究期间表现出对城市扩张有较强的影响力,距道路距离这一因子影响较弱;当这些因子强度达到阈值后,对城市扩张可能性影响是相近的。道路密度、接近度、中间度3个指标相比于距道路距离对城市扩张有较好的预测效果,希望在未来城市化扩张模拟研究中,重视这3个指标的作用,提高模拟精度,为规划提供指导,实现城市道路与城市用地建设的相互促进发展。Urban expansion is intricately linked to several factors,and numerous scholars have extensively investigated this phenomenon,revealing that urban roads play an exceptionally significant role in this process.For instance,urban expansion tends to occur along roads,road networks dictate changes in urban spatial patterns,and road configurations guide the formation of new urban areas.Spatial syntax,which is a method based on topological relationships for urban analysis,along with the Bayesian network,a probability-based network model diagram,and geographic detectors,capable of uncovering the driving forces behind urban expansion,are widely employed in the field of geography.To investigate the impact of road networks on urban expansion,this study focuses on the city of Wuhan as the research area and gathers pertinent data from 2000 to 2020.By calculating the spatial syntactic characteristics of the urban road network and integrating the Bayesian networks and geographic detectors,this research explores the quantitative impact of the urban road network on urban expansion.In this investigation,thirteen driving factors are considered,among which road-related factors inlcude road density,distance to roads,proximity,and intermediate degree in spatial syntax.Initially,a thirteen-factor linkage network model is established based on the Bayesian network model.Through sensitivity analysis,the variance reduction provides insights into the influence of the corresponding factors on the conversion of urban land.Moreover,by altering urban land use attributes,the diagnostic analysis examines the quantitative causal relationship between impact factors and urban land use.The results obtained from the geographical detector method directly indicate the driving degree of each factor on urban land expansion.The findings from both methods are as follows:The Bayesian network model constructed based on the selected thirteen factors demonstrates strong predictive power for urban expansion.Among these factors,road density,proximity,and intermedi
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