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The purpose of this paper is to develop a comprehensive understanding of the public safety risks of international construction projects (ICPs) from the perspective of threat and vulnerability. A novel and comprehensive risk assessment approach is developed from a systemic perspective and applied to the Belt and Road Initiative (BRI) to improve the public safety risk management strategy for ICPs in BRI.

First, a public safety risk indicator system was constructed from the two dimensions, namely threat and vulnerability. Next, an integrated measurement model was constructed by combining the Genetic Algorithm-Backpropagation (GA-BP) neural network, fuzzy comprehensive evaluation method and matter-element extension (MME) method. Data from 49 countries involved in the BRI, as well as five typical projects, were used to validate the model. Finally, targeted risk prevention measures were identified for use at the national, enterprise and project levels.

The findings indicate that while the vulnerability risks of typical projects in each region of the BRI were generally low, threat risks were high in West Asia and North Africa, Commonwealth of Independent States (CIS) countries and South Asia.

First, the structure of the public safety risk system of ICPs was analyzed using vulnerability and system theories. The connotation of public safety risk was defined based on two dimensions, namely threat and vulnerability. The idea of measuring threat risk with public data and measuring vulnerability risk with project data was clarified, and the risk measurement was integrated into the measurement results to help researchers and managers understand and systematically consider the public safety risks of ICPs. Second, a public safety risk indicator system was constructed, including 18 threat risk indicators and 14 vulnerability risk indicators to address the gaps in the existing research. The MEE model was employed to overcome the problem of incompatible indicator systems and provide stable and credible integrated measurement results. Finally, the whole-process public safety risk management scheme designed in this study can help to both provide a reference point for the Chinese enterprises and oversea contractors in market selection as well as improve ICP public safety risk management.

Purpose – The vulnerability and adaptive capacities of cities in Latin America have received relatively less attention compared to other regions of the world. This chapter seeks to address these gaps by (a) examining vulnerability to the health impacts from air pollution and temperature, and exploring whether socioeconomic factors between neighborhoods differentiate these risks within the cities of Bogota, Buenos Aires, Mexico City, and Santiago and (b) assessing the capacity of urban populations to perceive and respond to vulnerability and risk.

Design/methodology/approach – Because of the complex nature of vulnerability, we combined a set of quantitative and quantitative methods and data to determine whether and under what conditions the people in these cities are vulnerable (e.g., Time Series Analysis, Generalized Linear Model, and statistical correlations of exposure and human mortality with socioeconomic vulnerability).

Findings – We found high levels of PM10, ozone, and other criteria air pollutants in three cities for which we had data. However, the pattern of their impacts on health depends on the particulars of pollutant levels and atmospheric and weather conditions of each city. Our results reflect the varied facets of urban vulnerability and shed light on the nature of the associated human health risks. Although wealthy populations have access to education, good quality housing, and health services to mitigate some environmental risks, overall the data show that health impacts from air pollution and temperature in the study cities do not necessarily depend on socioeconomic differentiations.

Research limitations/implications – Although we sought to use quantitative and qualitative methods, given the complexity of the research, it has proven difficult to fully explore these issues across scales and with a full accounting of local context.

Practical implications – Our findings show that wealthy and educated populations may be equally at risk to the health implications of air pollution. Policies designed to mitigate these risks should not use socioeconomic characteristics as predictors of a population's risk in relation to air pollution.

Originality/value – This research contributes valuable insights into the dynamics of vulnerability to air pollution in Latin American cities, a region that has been historically underrepresented in empirical studies of urban risk. We have also combined a range of methods and approaches to improve our understanding of the multifaceted nature of urban vulnerability to global environmental change.

Since the late 1980s, social theorists championed for the birth of a new era, in which societies were increasingly exposed to growing global risks. The presence of increasing risks including natural disasters, technological errors, terrorist attacks, nuclear wars and environmental degradation suggests that human beings are becoming increasingly vulnerable. Therefore, an understanding of vulnerability is crucial. Vulnerability is often considered as the potential to suffer from physical attacks. This approach, however, has limited capacity to explain many forms of suffering including not only physical aspects, but also mental, social, economic, political and social dimensions. This chapter draws on the vulnerability literature to present an overarching framework for the book. It starts with an outline of the concept origins, then discusses its relationship with the risk society thesis before forming conceptualisation. The chapter then points out the key similarities and differences between vulnerability and other concepts such as risk, disaster, poverty, security and resilience. The authors rework an existing “security” framework to develop a new definition of the concept of vulnerability. Finally, the authors look into the root causes and the formation of vulnerability within social systems.

This paper aims to design a vulnerability assessment model considering the multidimensional and systematic approach to disaster risk and vulnerability. This model serves to both risk mitigation and disaster preparedness phases of humanitarian logistics.

A survey of 27,218 households in Pueblo Rico and Dosquebradas was conducted to obtain information about disaster risk for landslides, floods and collapses. We adopted a cross entropy-based approach for the measure of disaster vulnerability (Kullback–Leibler divergence), and a maximum-entropy estimation for the reconstruction of risk a priori categorization (logistic regression). The capabilities approach of Sen supported theoretically our multidimensional assessment of disaster vulnerability.

Disaster vulnerability is shaped by economic, such as physical attributes of households, and health indicators, which are in specific morbidity indicators that seem to affect vulnerability outputs. Vulnerability is heterogeneous between communities/districts according to formal comparisons of Kullback–Leibler divergence. Nor social dimension, neither chronic illness indicators seem to shape vulnerability, at least for Pueblo Rico and Dosquebradas.

The results need a qualitative or case study validation at the community/district level.

We discuss how risk mitigation policies and disaster preparedness strategies can be driven by empirical results. For example, the type of stock to preposition can vary according to the disaster or the kind of alternative policies that can be formulated on the basis of the strong relationship between morbidity and disaster risk.

Entropy-based metrics are not widely used in humanitarian logistics literature, as well as empirical data-driven techniques.

In any information security risk assessment, vulnerabilities are usually identified by information‐gathering techniques. However, vulnerability identification errors – wrongly identified or unidentified vulnerabilities – can occur as uncertain data are used. Furthermore, businesses' security needs are not considered sufficiently. Hence, security functions may not protect business assets sufficiently and cost‐effectively. This paper aims to resolve vulnerability errors by analysing the security requirements of information assets in business process models.

Business process models have been selected for use, because there is a close relationship between business process objectives and risks. Security functions are evaluated in terms of the information flow of business processes regarding their security requirements. The claim that vulnerability errors can be resolved was validated by comparing the results of a current risk assessment approach with the proposed approach. The comparison is conducted both at three entities of an insurance company, as well as through a controlled experiment within a survey among security professionals.

Vulnerability identification errors can be resolved by explicitly evaluating security requirements in the course of business; this is not considered in current assessment methods.

It is shown that vulnerability identification errors occur in practice. With the explicit evaluation of security requirements, identification errors can be resolved. Risk assessment methods should consider the explicit evaluation of security requirements.

Households are exposed to a wide array of risks, characterized by a known or unknown probability distribution of events. Disasters are one of these risks at the extreme end. Understanding the nature of these risks is critical to recommending appropriate mitigation measures. A household’s resilience in resisting the negative outcomes of these risky events is indicative of its level of vulnerability. Vulnerability has emerged as the most critical concept in disaster studies, with several attempts at defining, measuring, indexing and modeling it. The paper presents the concept and meanings of risk and vulnerability as they have evolved in different disciplines. Building on these basic concepts, the paper suggests that assets are the key to reducing risk and vulnerability. Households resist and cope with adverse consequences of disasters and other risks through the assets that they can mobilize in face of shocks. Asustainable strategy for disaster reduction must therefore focus on asset‐building. There could be different types of assets, and their selection and application for disaster risk management is necessarily a contextual exercise. The mix of asset‐building strategies could vary from one community to another, depending upon households’ asset profile. The paper addresses the dynamics of assets‐risk interaction, thus focusing on the role of assets in risk management.

This paper aims to develop a multi-hazard risk assessment method based on probability theory and a set of economic, social and environmental indicators, which considers the increase in hazards when they occur concurrently or consecutively.

Disaster risk assessment generally considers the impact and vulnerability of a single hazard to the affected location/object without considering the combination of multiple hazards occurring concurrently or consecutively. However, disasters are often closely related, occurring in combination or at the same time. Probability theory was used to assess multi-hazard, and a matrix method was used to assess the interaction of hazard vulnerabilities.

The results of the case study for the Mid-Central Coastal Region show that the proportions of districts at a very high class of multi-hazard, multi-vulnerabilities and multi-hazard risk are 81%, 89% and 82%, respectively. Multi-hazard risk level tends to decrease from North to South and from East to West. A total of 100% of coastal districts are at high to very high multi-hazard risk classes. The research results could assist in the development of disaster risk reduction programs towards sustainable development and support the management to reduce risks caused by multi-hazard.

The multi-risk assessment method developed in this study is based on published literature, allowing to compare quantitatively multiple risk caused by multi-hazard occurring concurrently or consecutively, in which, a relative increase in hazard and vulnerability is considered. The method includes the assessment of three components of disaster risk including multi-hazard, exposure and multi-vulnerability. Probability and Copula theories were used to assess multi-hazard, and a matrix method was used to assess the interaction intensity of multi-vulnerabilities in the system.

The Millennium Declaration and the Hyogo Framework for Action point towards the need for methods to identify urban vulnerability to disaster risk as a pre-cursor for the development of benchmarks with which to track policy progress for urban sustainability and risk reduction. This paper responds to this call by assessing the state of the art in urban vulnerability and risk assessment tools. It presents a review of the conceptual frameworks, methodologies and comparative advantages of ten tools. These are categorised into deductive and inductive approaches, with inductive approaches in turn separated into those that use social-survey and participatory methods. The tools examined vary in the focus of their interests between those concerned with the vulnerability of places (cities or buildings) and people (either as predefined vulnerable social groups or identified through household livelihood sustainability).

The paper calls for a deeper conversation between the emerging community of practitioners working on urban disaster risk management and the existing urban development community. For example, disasters are typically defined as exceptionally large, single events, which adds to analytical clarity, but misses the cumulative impact of multiple small, local events on household sustainability and urban infrastructure, ultimately distorting planning guidance. There is also a need for natural hazard specific vulnerability assessment tools to be interpreted alongside, or to incorporate social, economic and political sources of danger to livelihoods and human health. For forward looking policy relevance, tools are also needed that can assess adaptive or coping capacity. This is essential for the building of a holistic approach to urban risk management. An approach that coherently tackles the multiple hazards and vulnerabilities faced by urban dwellers, and seeks to avoid the shifting of risk burdens between populations and the movement of people from one kind of threat to another.

This research aims to develop a model that may be used to determine the effective adaptive measures to implement in a system affected by climate change.

The three primary dimensions of the model were individually investigated and then the linkages among them were developed. Specifically, the nature of climate change was examined and the issues emerging from the changes were analyzed. Next, an intensive study of system vulnerabilities was conducted, and the third factor in the model, risk, is then explored. Afterwards, the conceptual framework, which is the foundation of the climate change vulnerability risk model, was devised and the model created.

The model is a three‐dimensional matrix with the nature of climate change, vulnerabilities, and risks as its chief dimensions. It identifies the four natures of climate change, namely: variability, intensity, frequency, and quantity and the vulnerability types to be socio‐economic, biophysical, technological, and institutional. Meanwhile, risks are classified as income, biodiversity, health, mortality, and infrastructure risks.

The research is the first phase of a three‐stage study on the linkages among climate change, vulnerability, and risks. It is the development stage of the framework that exemplifies the interrelationships among these variables and is the basis of the statistical and econometric analyses in the later stages.

The climate change vulnerability risk model was developed to act as an analytical guide in understanding the effects of climate change to systems. The model may be used to determine the effective adaptive measures to apply in the system, through a comparative analysis of the variables in the matrix.

This paper uses the GB/T20984-2007 multiplicative method to assess the information security risk of a typical digital library in compliance with the principle and thought of ISO 27000. The purpose of this paper is to testify the feasibility of this method and provide suggestions for improving information security of the digital library.

This paper adopts convenience sampling to select respondents. The assessment of assets is through analyzing digital library-related business and function through a questionnaire which collects data to determine asset types and the importance of asset attributes. The five-point Likert scale questionnaire method is used to identify the threat possibility and its influence on the assets. The 12 respondents include directors and senior network technicians from the editorial department, comic library, children’s library, counseling department and the learning promotion centre. Three different Guttman scale questionnaires, tool testing and on-site inspection are combined to identify and assess vulnerabilities. There were different Guttman scale questionnaires for management personnel, technical personnel and general librarian. In all, 15 management librarians, 7 technical librarians and 72 ordinary librarians answered the vulnerability questionnaire. On-site inspection was conducted on the basis of 11 control domains of ISO 27002. Vulnerabilities were scanned using remote security evaluation system NSFOCUS. The scanning covered ten IP sections and a total of 81 hosts.

Overall, 2,792 risk scores were obtained. Among them, 282 items (accounting for 10.1 per cent of the total) reached the high risk level; 2 (0.1 per cent) reached the very high risk level. High-risk items involved 26 threat types (accounting for 44.1 per cent of all threat types) and 13 vulnerability types (accounting for 22.1 per cent of all vulnerability types). The evaluation revealed that this digital library faces seven major hidden dangers in information security. The assessment results were well accepted by staff members of this digital library, which testified to the applicability of this method to a Chinese digital library.

This paper is only a case study of a typical Chinese digital library using a digital library information security assessment method. More case-based explorations are necessary to prove the feasibility of the assessing strategy proposed in this study.

Based on the findings of recent literature, the authors found that very few researchers have made efforts to develop methods for calculating the indicators for digital library information security risk assessment. On the basis of ISO 27000 and other related information security standards, this case study proposed an operable method of digital library information security risk assessment and used it to assess a the information security of a typical Chinese digital library. This study can offer insights for formulating a digital library information security risk assessment scale.