Examining of the actor collaboration networks around hazard mitigation: a hurricane harvey study
Examining of the actor collaboration networks around hazard mitigation: a hurricane harvey study
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DOI：
10.1007/s11069-020-04142-1
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发表时间：
2020-07
期刊：
影响因子：
3.7
通讯作者：
Qingchun Li;Bryce Hannibal;A. Mostafavi;P. Berke;Sierra Woodruff;A. Vedlitz
中科院分区：
文献类型：
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作者：
Qingchun Li;Bryce Hannibal;A. Mostafavi;P. Berke;Sierra Woodruff;A. Vedlitz
本研究的目的是检查演员合作网络的属性，并分析它们如何影响协调的减灾在哈里斯县，得克萨斯州的弹性规划。有效的复原力规划只能通过各行为体的集体行动来实现，网络结构展开了行为体之间的合作。了解行为体减灾协作网络的结构特性可能是理解和改进抗灾规划过程的关键。为此，在哈维飓风之后，我们对参与减灾的各个城市部门的参与者进行了利益相关者调查（例如，防洪、交通和应急响应）。该调查旨在捕获哈维之前德克萨斯州哈里斯县的减灾行动者合作网络。这种协作表明，调查答卷人与调查名册上的行为者合作开展减灾工作。我们询问受访者在调查中合作的频率（例如，每年、每月、每周和每日）。我们考察了三个网络结构特征来研究参与者在网络中的位置：度中心性、边界空间性和核心-外围结构，因为度中心性可以表明哪些参与者有更多的合作，边界空间性可以揭示哪些参与者处于连接其他独立参与者的战略位置;核心-外围结构可以确定哪些行为体构成了减灾行为体协作网络的核心，以及核心是否由来自不同部门的行为体组成。结果表明：（1）不同部门的政府行为体具有高度的中心性和中介中心性，表明政府行为体在减灾规划和实施中的协调和信息传播方面具有更大的影响力;（2）在行为体协作网络中处于核心地位的防洪和非政府行为体较少，降低了减灾协调的程度。研究结果确定了潜在的有影响力的行为者（如休斯顿市，哈里斯县和休斯顿-加尔维斯顿地区理事会）在协调减灾和产量的建议，增加行为者网络的凝聚力，更好地协调减灾跨不同部门的抗灾规划。
The objective of this study is to examine the properties of actor collaboration networks and to analyze how they influence the coordination of hazard mitigation in resilience planning in Harris County, Texas. Effective resilience planning can only be achieved through the collective actions of various actors and the network structures unfold the collaboration among the actors. Understanding the structural properties of actor collaboration networks for hazard mitigation may hold the key to understanding and improving the resilience planning process. To this end, after Hurricane Harvey, we administered a stakeholder survey to actors in various urban sectors involved in hazard mitigation (e.g., flood control, transportation, and emergency response). The survey aimed to capture actor collaboration networks for hazard mitigation in Harris County, Texas prior to Harvey. The collaboration represents that the survey respondents worked with the actors in the survey roster for hazard mitigation. We asked the respondents the frequency of the collaboration in the survey (e.g., yearly, monthly, weekly and daily). We examined three network structural properties to study actor positions in the network: degree centrality, boundary spanners, and core-periphery structure, because degree centrality could indicate what actors had more collaborations; boundary spanners could reveal what actors were in strategic positions to connect otherwise separate actors; and core-periphery structure could identify what actors formed the core of actor collaboration network for hazard mitigation and whether the core was composed of actors from diverse sectors. The results showed: (1) governmental actors from different sectors had high degree centrality and betweenness centrality, which indicated that governmental actors had a more influential role in coordination and information dissemination in hazard mitigation planning and implementation; and (2) fewer flood control and non-governmental actors were at the core of the actor collaboration networks, which reduced the extent of hazard mitigation coordination. The results identify potential influential actors (such as City of Houston, Harris County, and Houston–Galveston Area Council) in coordination of hazard mitigation and yield recommendations for increased actor network cohesion for better coordination of hazard mitigation across diverse sectors in resilience planning.