PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (10): 1717-1731.doi: 10.18306/dlkxjz.2020.10.011
• Reviews • Previous Articles Next Articles
ZHAO Ruidong1(), FANG Chuanglin1,2,*(
), LIU Haimeng2
Received:
2019-11-21
Revised:
2020-02-18
Online:
2020-10-28
Published:
2020-12-28
Contact:
FANG Chuanglin
E-mail:zhaordgeo2015@163.com;fangcl@igsnrr.ac.cn
Supported by:
ZHAO Ruidong, FANG Chuanglin, LIU Haimeng. Progress and prospect of urban resilience research[J].PROGRESS IN GEOGRAPHY, 2020, 39(10): 1717-1731.
Tab.1
Various definitions of urban resilience by scholars of different disciplinary background and research institutions"
研究视角 | 概念定义 | 研究学者或机构 |
---|---|---|
经济学 | 区域经济经历外生冲击后能够回到冲击前水平的增长速率,经济被锁定为一个低水平的平衡之后快速转换至一个“更好的平衡”的能力 | Hill等[ |
社会学 | 城市作为可持续的物质系统和人类社区的结合体,而物质系统的规划应该通过人类社区的建设发挥作用 | Godschalk[ |
灾害学 | 由基础设施韧性、制度韧性、经济韧性和社会韧性4部分组成,其中基础设施韧性很关键,同时也涵盖生命线工程的畅通和城市社区的应急反应能力 | Jha等[ |
地理学 | 指城市系统及其所有组成部分的社会—生态和社会—技术网络在时间和空间尺度上受到干扰时保持或快速恢复所需功能、适应变化以及快速转换限制当前或未来适应能力的系统能力 | Sara等[ |
城市规划学 | 系统和区域通过合理准备、缓冲和应对不确定性扰动,实现公共安全、社会秩序和经济建设等正常运行的能力 | 邵亦文等[ |
生态学 | 城市系统消化、吸收外来干扰并能保持原来结构、维持关键功能的能力 | Resilience Alliance[ |
城市规划学 | 指增加城市应对自然和人为危机影响的韧性,确保城市能够抵御灾难性事件并迅速恢复的能力 | UN-Habitat[ |
地理学 | 城市中的个人、社区、机构、企业和系统,在各种慢性压力和急性冲击下存续、适应、发展的能力 | Rockefeller Foundation[ |
Tab.2
Assessment methods of urban resilience"
评价方法 | 基本原理 | 优点 | 不足 |
---|---|---|---|
综合指数法 | 对选取的指标数据进行标准化处理,并利用综合加权求和、熵权系数、AHP、TOPSIS等确定指标权重,进而综合评价城市韧性程度 | 计算过程相对简单,且容易操作 | 在指标选取与权重确定过程中存在一定的主观性,忽视要素间关系 |
函数模型法 | 在韧性概念的基础上,构建由暴露—敏感性和应对能力组成的函数模型,用暴露—敏感性与应对能力的比值计算韧性指数 | 明确了构成要素间的相互作用,能解释韧性的成因 | 对韧性概念及构成要素间的相互关系还未统一观点 |
阈值法 | 阈值是系统的边界或不同状态的连接点,通过CENTURY、GAP等模型可以测算出生态系统某些关键节点或状态转化时间 | 多适用于生态系统、社会—生态系统能力的测算 | 忽略了有机体的个体变异性,限制了其应用 |
社会网络 模型 | 网络结构韧性通常是城市网络结构对区域应对冲击并恢复、保持或改善原有系统特征和关键功能的影响力,借助Gephi对网络结构韧性进行评价 | 具有较强反映各利益人间及各组成系统间联系强度的能力 | 网络结构不能反映空间模拟情形,存在着获取数据、信息误差、联系不真实等缺陷 |
韧性成熟度模型(RMM) | 城市经历的5个连续阶段(开始、中级、高级、强健、更高级),从城市在韧性建设过程中的最初开始,到实现卓越的韧性能力为止,提出相应策略 | 该模型适合于通过系统迭代过程及复杂问题相关的解释 | 在空间模拟上相对不足,只针对特定城市或某个复杂系统 |
情景分析法 | 由于韧性被假设为社会—生态的属性而难以测算,情景分析是设定一个或多个变化背景,来模拟其对城市各个系统结构、功能等影响的变化情形及路径选择 | 计算不同假设情景下多个因素同时作用的结果,进行空间模拟 | 主要针对如何降低某个扰动风险来设定的,对系统韧性和适应性等问题则关注不够 |
图层叠置法 | 根据城市韧性的构成要素分别制图,并将其进行空间叠置,典型的如区域物理韧性和社会韧性的图层叠置,形成地方整体韧性 | 实现了韧性评价结果的地图可视化和直观表达 | 评价结果难以反映不同要素对整体韧性的影响程度 |
Tab.3
Summary and classification of evaluation indicators of urban resilience"
维度 | 具体指标 | Joerin等[ | Cutter等[ | Hudec等[ | Zheng等[ | 杨莹等[ | 白立敏等[ |
---|---|---|---|---|---|---|---|
生态 | 人均公园绿地面积 | √ | √ | √ | |||
园林绿地面积 | √ | √ | √ | ||||
生态系统服务 | √ | ||||||
空气质量 | √ | √ | √ | ||||
环保占财政支出的比重 | √ | ||||||
建成区用地面积比例 | √ | √ | |||||
建成区绿化覆盖率 | √ | √ | |||||
每平方公里SO2排放量 | √ | ||||||
城镇生活污水处理率 | √ | ||||||
自然灾害频率 | √ | ||||||
地形起伏度 | √ | √ | |||||
经济 | 人均GDP | √ | √ | √ | √ | √ | |
第三产业占GDP 的比重 | √ | √ | |||||
产业高级化系数 | √ | ||||||
城市化率 | √ | ||||||
科学支出占GDP 的比重 | √ | ||||||
实际利用外资金额 | √ | ||||||
城镇登记失业人口 | √ | √ | |||||
人均财政支出 | √ | √ | √ | ||||
人均储蓄存款额 | √ | √ | |||||
第三产业企业总资产 | √ | √ | |||||
就业率 | √ | ||||||
自住房屋比重 | √ | √ | |||||
气候灾害造成的经济损失比 | √ | ||||||
社会 | 城镇人均可支配收入 | √ | √ | √ | √ | √ | |
医疗保险覆盖率 | √ | √ | |||||
在岗职工平均工资 | √ | ||||||
第三产业就业人员比重 | √ | √ | |||||
每万人医院病床张数 | √ | √ | √ | ||||
每万人在校大学生数 | √ | √ | √ | √ | √ | ||
社保占财政支出比重 | √ | √ | √ | √ | |||
食品供应能力 | √ | ||||||
城市人口密度 | √ | √ | √ | ||||
公共管理与社会组织人员占比 | √ | √ | √ | ||||
老龄化率 | √ | √ | √ | ||||
最低生活水平的人口比例 | √ | √ | |||||
制度 | 单位负责人比例 | √ | |||||
政府机构密度 | √ | √ | √ | √ | |||
非农人口比例 | √ | √ | |||||
城市卫生站密度 | √ | ||||||
每千人拥有卫生人员数 | √ | √ | |||||
危机管理框架有效性 | √ | √ | |||||
防灾减灾经验与培训 | √ | √ | √ | ||||
城市治理能力 | √ | √ | √ | √ | |||
防灾支出 | √ | √ | |||||
灾害保险参保率 | √ | ||||||
设施 | 人均道路面积 | √ | √ | √ | √ | √ | |
排水管道密度 | √ | √ | √ | ||||
燃气普及率 | √ | √ | |||||
每万人拥有公共汽车数 | √ | ||||||
住房设施用地 | √ | √ | √ | ||||
土地利用混合度 | √ | ||||||
移动电话户数 | √ | √ | |||||
国际互联网用户数 | √ | √ | √ | √ | √ | ||
物资供应保障度 | √ | √ | √ | √ | |||
防灾减灾设施完善度 | √ | √ | √ | ||||
人均公共卫生设施 | √ | √ | √ |
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