干旱影响生计脆弱性中的中介和调节效应

［目的］气候变化下跨尺度变量对生计脆弱性的影响多数为定性研究，很少进行实证研究，文章通过实证分析探索跨尺度变量在干旱影响生计脆弱性中的作用。［方法］基于黄土高原218个农户调查数据，采用线性回归和层次回归分析跨尺度变量在干旱影响生计脆弱性中的中介和调节效应。［结果］干旱对农户生计脆弱性有显著影响。在干旱影响生计脆弱性的过程中，个人尺度的“户主年龄、感知的气温最大值、降雨量变化、干旱程度变化和灾后信息渠道”与农户尺度的“批发市场距离和集市距离”起到了调节作用； 农户尺度的“三代直系亲属的户数和生产机械指数”起到了中介作用； 而村庄尺度的“工程措施”，既没起到中介作用，也没起到调节作用。［结论］用中介和调节效应反映了跨尺度变量的交互作用，在跨尺度效应的实证研究方面提供了科学的方法，弥补了现有研究的空白，这为制定减少农户生计脆弱性的政策提供了科学有效的依据。     

Natural disaster and destination management: the case of the Caribbean and hurricane Irma

This current issue in the Caribbean raises the topic of destination management and more particularly the importance of considering natural phenomenon when planning and developing a tourism product. The impacts of Irma on some Caribbean islands such as Saint-Barthelemy, Saint-Martin, Barbuda and Anguilla show that hurricanes are major risks for the tourism industry of the islands. This risk could be said to be absolute in the Caribbean but the negative impacts can be mitigated by appropriate strategies. To some extent, natural disasters provide tabularaza that give destinations opportunities to reinvent themselves sustainability.     

Cognition of disaster risk in a tourism community: an agricultural heritage system perspective

Cognition of risk is the first step in reducing disaster damage and losses. In this study, risk cognition in the Hani Rice Terraces, the core tourism attraction in Yuanyang County, Honghe Prefecture, Yunnan, China, is analyzed based on field survey and participatory geographic information system (GIS). The results show that tourism communities have cognition of risk; are more sensitive to hazards (especially drought); have more severe potential damage and losses from hazards; and also have more enthusiasm to adapt to disaster risk, when compared with a non-tourism community. On disaster vulnerability maps, the tourism communities identified the unique “Forest – Village – Terrace - River” landscape while the non-tourism community only recognized the terrace and the village as the main elements affected by hazard. Also, the tourism communities had deeper understandings of drought, flash floods and landslide disaster risks. A conceptual model based on “Pressure – State – Response” relationships is put forward to explore the situation in which, in the tourism community, terraces have a greater variety of functions and enhanced values resulting in the spatial expansion of hazard effects.     

山西成家庄煤矿矿井充水因素分析及水害防治措施

矿井水害的预防预报是指查清矿井水文地质条件,对水害做出分析判断。本文以山西成家庄煤矿防治水为例,分析了矿井充水因素,以理论结合实际,为预防矿井水害提供依据。     

Dimensions of strategic intervention for risk reduction and mitigation: a case study of the MV Sewol incident

Organizations in disaster management system should learn from previous experience and strategically use their lesson for the refinement of a system’s competencies for risk management. However, the MV Sewol incident revealed the absence of the organizational learning in the Korean disaster management system. With mixed methods of content analysis, in-depth interview, and social network analysis, this study identified key failure factors in response to the incident and categorized them by managerial, structural, and institutional domains. While the Korean government took bold steps to rebuild its risk management system, those efforts were biased to structural reforms and lacked fundamental changes in human and informational resources management. Based on the findings, this study suggests the balanced efforts for system refinement for effective risk management.     

黑龙江省西部松嫩低平原盐碱地质灾害分布调查的思考

本文是在充分利用前人研究成果的基础上,运用多年积累的勘察资料和工作经验,投入1:250000区域地质调查、1:250000遥感地质解译、样品采集与化验分析等工作,运用遥感解译与地面调查相结合的方法科学合理的为黑龙江省西部松嫩低平原盐碱地质灾害分布及危害程度的进一步评价提供科学依据。     

基于多情景的景区自然灾害风险评价方法研究——以九寨沟树正寨为例

文章采用参与式地理信息系统(PGIS)技术,模拟景区未来典型自然灾害风险情景,建立典型致灾因子强度与灾害风险情景对应关系;对旅游资源、旅游设施进行分类,分析游客居民景区内时空分布特征,建立致灾因子强度与景区承载体的脆弱性对应关系;最后通过拟合风险曲线,建立景区综合灾损模型并预测出多情景年均损失。综合景区利益相关方可接受风险,基于灾损和防灾成本进行风险决策。案例研究以九寨沟树正景群为例,模拟九寨沟在分别遭遇20、50、100、200、500、1000年一遇6种暴雨情景下引发泥石流的流速、流量和冲击力,建立6种情景泥石流与树正景群脆弱性关系;预测6种情景潜在损失和人员伤亡;结合可接受风险,提出九寨沟树正寨未来自然灾害防灾降险措施。     

自然灾害背景下农村金融消费者权益保护问题探讨

目前，农村金融消费者权益保护工作力量薄弱，自然灾害对农村金融消费者影响较大；同时，金融产品设计对农村金融消费者权益保护考虑不足。为保护农村金融消费者权益，并最大限度地规避自然灾害给农户带来的经济损失，应循序渐进、阶段性地推动金融消费立法，完善农村金融服务体系，构建农村金融消费者自然灾害权益保护机制，开展针对农村金融消费者的常态化宣传教育活动。     

Restoring tourist confidence and travel intentions after disasters: some insights from a rejoinder to a series of unfortunate events in Malaysian tourism

Many countries face a decline in tourist confidence and reduced travel intentions after disasters. However, Malaysia – a country that experienced a series of aviation tragedies throughout 2014 – encountered an overall increase in inbound tourists and monetary receipts. This article more closely examines the effects of these unfortunate events on Malaysian tourism and identifies several strategic avenues that can contribute to restoring tourist confidence and reigniting tourist interest in travelling to disaster-stricken countries.     

MODELLING THE ADAPTATION OF BUSINESS CONTINUITY PLANNING BY BUSINESSES USING NEURAL NETWORKS

Business continuity planning is an important element of business continuity management and is regarded as a fundamental step towards reducing the negative impacts of business disruptions caused by internal and external hazardous events. Many businesses are not prepared for such events, and very few studies have tried to examine and model the factors that contribute to business continuity management planning by various companies. In this paper we propose and develop a feed‐forward neural network for modelling businesses continuity planning by businesses based on a dataset of 283 businesses operating in the Greater Toronto Area in Ontario, Canada. The fully connected neural network applied was trained on 65 % of the dataset records using different subsets of input variables. In order to preserve the generalization ability of the trained network, 15 % of the dataset records were used as a validation set for early stopping during the network's training process. Prediction capability of the trained networks was evaluated on 20 % and never‐seen records of the dataset. The classification ability of the networks was then analysed using receiver operating characteristic and detection error trade‐off curves, where the results obtained were promising. The equal error rate for the best models was 12 %, which reflects a very good accuracy of these models in predicting the existence of business continuity planning for a generic company. Copyright © 2011 John Wiley & Sons, Ltd.