Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data

The extent of economic losses due to a natural hazard and disaster depends largely on the spatial distribution of asset values in relation to the hazard intensity distribution within the affected area. Given that statistical data on asset value are collected by administrative units in China, generating spatially explicit asset exposure maps remains a key challenge for rapid postdisaster economic loss assessment. The goal of this study is to introduce a top‐down (or downscaling) approach to disaggregate administrative‐unit level asset value to grid‐cell level. To do so, finding the highly correlated “surrogate” indicators is the key. A combination of three data sets—nighttime light grid, LandScan population grid, and road density grid, is used as ancillary asset density distribution information for spatializing the asset value. As a result, a high spatial resolution asset value map of China for 2015 is generated. The spatial data set contains aggregated economic value at risk at 30 arc‐second spatial resolution. Accuracy of the spatial disaggregation reflects redistribution errors introduced by the disaggregation process as well as errors from the original ancillary data sets. The overall accuracy of the results proves to be promising. The example of using the developed disaggregated asset value map in exposure assessment of watersheds demonstrates that the data set offers immense analytical flexibility for overlay analysis according to the hazard extent. This product will help current efforts to analyze spatial characteristics of exposure and to uncover the contributions of both physical and social drivers of natural hazard and disaster across space and time.     

Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes

Dialogic communication has long been viewed as vital for effective organization-public relations. Yet, it is under-theorized whether and how organizations’ disaster communication messages may embody dialogic communication principles, and how various dialogic features are associated with different public engagement outcomes on social media. Extending the Organization-Public Dialogic Communication (OPDC) framework to the context of social media-mediated disaster communication, we propose a multi-level framework to assess the dialogic capacity of Facebook messages sent by disaster management organizations during a natural disaster. Three levels of dialogic communication characteristics (i.e., message structure-level, topic-level, and linguistic level) are examined using content analysis and Linguistic Inquiry and Word Count (LIWC). Results identified media richness, correcting, and confirming topics as three consistent predictors of public engagement of all types. Meanwhile, there exhibit greater variations regarding how other topical features and linguistic characteristics are related to public’s cognitive, emotional, and behavioral engagement during a disaster.     

Disaster Relief as Social Action: A Weberian Look at Postdisaster Donation Behavior

Disaster relief involves a broad range of participants, which often results in a disjunction between actual disaster needs and the perception of appropriate strategies in relief provision. This research examines data collected through interviews with donation drive operators responding to Superstorm Sandy in 2012 and the May 2013 Oklahoma tornadoes. Using Weber's ideal types of social action to understand motivations for engaging in disaster relief, this article argues that motivations for participating in and organizing such drives influence donation strategies, and these motivations can be used to explain persistent donation of nonuseful materiel items. Findings indicate several different motivations for involvement and that donation type appeared linked to motivation. We suggest that motivation for engaging in social action is a valuable approach to better understanding donation behavior and, consequently, addressing the social problem of materiel convergence in the postdisaster environment.     

Aesthetics of disaster as decolonial aesthetics: making sense of the effects of Hurricane María through Puerto Rican contemporary art

ABSTRACT

On 20 September 2017, Hurricane María made landfall on Puerto Rico causing unprecedented disaster. From that day onwards, the Puerto Rican multi-layered colonial, social and political context was further complicated by the traumatic acceleration of a human disaster via this natural disaster. This crystalized the urgency of using art as vehicle for (social) catharsis, a practice that continues to be used by individual artists, collectives, community organizations, art projects, and other art institutions on the island and abroad, through mural art, community paintings, art exhibitions, literature, music, and many other aesthetic expressions. This article examines, from a decolonial and critical cultural studies perspective, post-Hurricane María artistic expressions in contemporary art as decolonial aesthetics through the cathartic use of the frame of an aesthetics of disaster. It is argued that, an aesthetics of disaster aims to re-assert an artistic form that is able to accelerate the discursive nullification of a deeply rooted colonial, social and cultural problem by way of art as catharsis inspired by the way that Hurricane María unveiled these problems. The piece briefly contextualizes Puerto Rico, and it examines the idea of Puerto Rican contemporary art as catharsis. Then, it describes how Puerto Rican contemporary art exhibitions and associated aesthetic production are processing urgent post-hurricane issues through three illustrative pieces in exhibitions in PR and abroad in the United States (US). Lastly, decolonial aesthetics is reexamined and re-understood, informed by Édouard Glissant's view expressed in Poetics of Relation which aids to the conclusion that Puerto Rican contemporary art using the frame of an aesthetics of disaster functions as a powerful form of decolonial aesthetics.     

中等职业教育财政投入现状分析与对策研究——以河北省为例

文章通过发放调查问卷，归纳、整理“十二五”期间的财务会计报表对河北省中等职业教育财政投入状况进行了分析，揭示了存在的主要问题，提出了改进中等职业教育财政投入机制的对策和建议。     

普惠性民办幼儿园研究现状与趋势

基于对中国知网收录的普惠性民办幼儿园文献进行计量分析发现，一是研究可以划分为三个阶段，每个阶段都具有鲜明的特征；二是研究总体存在刊文规模小，主题研究持续性弱，研究者合作关系薄弱，研究重点区域由东向西迁移，区域性差异较大等现状。因此未来普惠性民办幼儿园研究和发展要在扩大研究规模、加强幼儿教师队伍研究、拓展研究视野、坚持分类分地区思想等方面进一步拓展。     

国内外《诗经》英语译介研究的历时性考察:现状、问题与展望

《诗经》是中华文化的珍宝,位列《五经》之首。迄今为止,《诗经》的英译已有近三百年的历史了。文章对国内外《诗经》英语译介研究现状进行了历时性考察以及当前《诗经》英语译介中存在的问题进行了剖析,并对未来《诗经》英语译介研究进行了展望。针对当前《诗经》英语译介研究重视程度不够、视野相对狭窄、译介史缺乏等问题,指出未来研究应当把《诗经》英语译介研究与国家战略相融合,推进跨学科研究,开展系统的译介史研究,以提高《诗经》英语译介的科学化水平,达到传播中国优秀传统文化的目的。     

转型经济下民营企业家个体特质、情境对公司创业的驱动机制——基于QCA的探索性研究

在中国经济转型的大市场环境下,企业如何将公司创业的意愿成功付诸于创业行动,是学术界广泛讨论的话题。文章利用全国私营企业调查问卷表数据,以102家私营企业作为案例样本,通过模糊集定性比较分析(QCA)方法将企业家个体特质与情境两个层面整合,同时从这两个层面进一步细分,去探讨组态效应对公司创业的多重并发影响机制。经过数据分析可以获知,企业家的社群式身份是高公司创业活跃度的必要条件,且导致高公司创业活跃度有四条组态(路径)；导致非高公司创业活跃度的有一条组态(路径),两者之间存在非对称关系。     

Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities

In this article, an agent‐based framework to quantify the seismic resilience of an electric power supply system (EPSS) and the community it serves is presented. Within the framework, the loss and restoration of the EPSS power generation and delivery capacity and of the power demand from the served community are used to assess the electric power deficit during the damage absorption and recovery processes. Damage to the components of the EPSS and of the community‐built environment is evaluated using the seismic fragility functions. The restoration of the community electric power demand is evaluated using the seismic recovery functions. However, the postearthquake EPSS recovery process is modeled using an agent‐based model with two agents, the EPSS Operator and the Community Administrator. The resilience of the EPSS–community system is quantified using direct, EPSS‐related, societal, and community‐related indicators. Parametric studies are carried out to quantify the influence of different seismic hazard scenarios, agent characteristics, and power dispatch strategies on the EPSS–community seismic resilience. The use of the agent‐based modeling framework enabled a rational formulation of the postearthquake recovery phase and highlighted the interaction between the EPSS and the community in the recovery process not quantified in resilience models developed to date. Furthermore, it shows that the resilience of different community sectors can be enhanced by different power dispatch strategies. The proposed agent‐based EPSS–community system resilience quantification framework can be used to develop better community and infrastructure system risk governance policies.     

Bi-objective multi-resource scheduling problem for emergency relief operations

Abstract

Resource scheduling for emergency relief operations is complex as it has many constraints. However, an effective allocation and sequencing of resources are crucial for the minimization of the completion times in emergency relief operations. Despite the importance of such decisions, only a few mathematical models of emergency relief operations have been studied. This article presents a bi-objective mixed integer programming (MIP) that helps to minimize both the total weighted time of completion of the demand points and the makespan of the total emergency relief operation. A two-phase method is developed to solve the bi-objective MIP problem. Additionally, a case study of hospital network in the Melbourne metropolitan area is used to evaluate the model. The results indicate that the model can successfully support the decisions required in the optimal resource scheduling of emergency relief operations.