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Because of the properties of loess, the occurrence of collapse following deformation of a large settlement is a common problem during the excavation of tunnels on loess ground. Hence, risk management for safer loess tunnel construction is of great significance. The purpose of this paper is to explore the influence of factors on collapse risk of loess tunnels and establish a risk assessment model using rough set theory and extension theory.

The surrounding rock level, groundwater conditions, burial depth, excavation method and support close time were selected as the factors and settlement deformation was the verification index for risk assessment. First, using rough set theory, the influence of risk factors on the collapse risk of loess tunnels was calculated by researching engineering data of excavated sections. Then, a collapse risk assessment model was developed based on extension theory. As the final step, the model was applied to practical engineering in the Loess Plateau of China.

The weights of surrounding rock level, groundwater conditions, burial depth, excavation method and support close time obtained using rough set theory were respectively 10.811 per cent, 18.919 per cent, 24.324 per cent, 40.541 per cent and 5.406 per cent. The assessment results obtained using the model were in good agreement with field observations.

This study highlights key points in collapse risk management of loess tunnels, which could be very useful for future construction methods. The model, using easily obtained parameters, helps in predicting the collapse risk level of loess tunnels excavated under different geological conditions and by different construction organizations and provides a reference for future studies.

The purpose of this paper is to present a probabilistic assessment and verify the effectiveness of seismic improvement schemes against earthquake, blast and progressive collapse. The probabilistic analysis is performed by taking into account the uncertainties in loading such as planar configuration and amplitude of the blast loading. A standard Monte Carlo (MC) simulation method is employed to generate various concepts of the uncertain parameters within the problem. For a given concept, various local dynamic analyses are performed within a certain range of distance, in order to quantify and locate the damage induced by impact wave on structural elements. In the next step, a limit state analysis is performed in order to investigate whether a progressive collapse mechanism forms under the acting loads or not.

( | ) and ( | ) are blast fragility and seismic fragility, respectively; ( ) and ( ) are annual occurrence rate of earthquake and blast, respectively. The purpose of the current study is to calculate for the primary structure as well as the retrofitted structure. Annual occurrence rate of earthquake can be calculated by using probability seismic hazard analysis for the site of interest, where the structure is located. In this paper, blast fragility and seismic fragility are defined rather differently; in other words, seismic fragility is defined as the probability of structural collapse given a specified level of seismic intensity whereas blast fragility is defined as the probability of collapse given that a significant blast event takes place. Both blast and earthquake loading conditions involve the activation of energy dissipation mechanism and, as a consequence, both can be resisted employing ductility enhancing techniques, such as column wrapping or jacketing and steel bracing.

The current paper aims to present a probabilistic assessment of progressive collapse under blast and earthquake loads. Non-dependent and incompatible events are considered to obtain a general rate of collapse. Finally, probabilistic collapse rate was obtained for a moment frame before and after modifying with convergent steel brace (CBF). The purpose of doing so is to investigate whether seismic improvement schemes can reduce collapse risk of different critical events or not.

Objective of the present work is to present a methodology for calculating the annual risk of collapse for a civil structure subjected to both seismic and blast loads, using a bi-hazard approach. Given that a blast event takes place, the probability of progressive collapse is calculated using a MC simulation procedure. The simulation procedure implements an efficient non-linear limit state analysis, formulated and solved as a linear programming problem. The probability of collapse caused by an earthquake event can be calculated by integrating the seismic fragility of the structure and the seismic hazard for the site.

This study aims to empirically explore the influence of managerial ability on crash risk and the moderating effect of financial constraints on this interrelationship.

Using a sample of listed corporations in the Egyptian Stock Exchange during 2018–2021, the authors test the hypotheses by using the measures and methods well established in prior literature. The authors also conduct multiple robustness analyses to ensure the validity of the empirical results.

The findings suggest that managerial ability can effectively inhibit crash risk. In addition, the authors report that financial constraints significantly dampen this relationship. Thus, financial restrictions play a striking role in hampering the managerial ability to prevent stock crashes. Furthermore, the authors document that the moderating role of severe financing constraints is more prominent during the Covid-19 pandemic period.

The originality of this study stems from the following considerations. First, this study enriches relevant studies on crash risk by providing evidence from one of the emerging markets in the Middle East; thereby, contrasting with those in developed economies. Second, to the best of the authors’ knowledge, this is the first study investigating the moderating impact of financing constraints on the managerial ability and crash risk nexus. Therefore, this work adds value to the extant knowledge by scrutinizing this important issue and providing novel empirical evidence.

Nonlinear dynamic analyses are employed for seismic collapse risk evaluation of existing steel moment frame buildings. The standards, such as ASCE 41-17, often define collapse thresholds based on plastic deformations; however, the collapse process involves several factors, and plastic deformation is only one of them. An energy-based approach employs deformation and resistance responses simultaneously, so it can consider various factors such as excessive deformation, stiffness and resistance degradation, and low-cycle fatigue as cumulative damage for seismic assessment. In this paper, an efficient energy-based methodology is proposed to estimate the collapse threshold responses of steel moment frame buildings.

This methodology uses a new criterion based on the energy balance concept and computes the structural responses for different seismic hazard levels. Meanwhile, a pre-processing phase is introduced to find the records that lead to the collapse of buildings. Furthermore, the proposed methodology can detect failure-prone hinges with a straightforward probability-based definition.

The findings show that the proposed methodology can estimate reasonably accurate responses against the results of the past experiment on the collapse threshold. Based on past studies, ASCE 41-17 results differ from experimental results and are even overly conservative in some cases. The authors believe that the proposed methodology can improve it. In addition, the failure-prone hinges detected by the proposed methodology are similar to the predicted collapse mechanism of three mid-rise steel moment frame buildings.

In the proposed methodology, new definitions based on energy and probability are employed to find out the structural collapse threshold and failure-prone hinges. Also, comparing the proposed methodology results against the experimental outcomes shows that this methodology efficiently predicts the collapse threshold responses.

Demolition is a high-risk operation in construction projects that may lead to serious accidents. Risk assessment is a fundamental step in managing demolition risk and preventing casualties and financial losses. The present study aims to provide a framework to identify, analyse and evaluate the risks in building demolition operations.

According to previous studies and the use of expert knowledge, 10 possible risks of the building demolition operation were identified. Subsequently, these risks were assessed using a combination of fuzzy logic with fault tree analysis (FTA), criteria importance through inter-criteria correlation (CRITIC) and technique for order preference by similarity to ideal solution (TOPSIS). Then, the risks were classified with the help of a risk decision matrix (RDM), and appropriate treatment strategies were presented according to the level of importance of each risk.

Considering the obtained magnitude for each risk and its rating, building collapse and noise pollution were identified as the most and least significant risks, respectively. The results of this study were in good agreement with the data provided by the Iranian Ministry of Cooperatives, Labour and Social Welfare, as well as obtained results of the previous studies on demolition.

This paper provides a novel framework for assessing the risks in building demolition operations. The findings of this study help demolition project managers to manage the risks in their projects properly.

As money has come to play a central role in modern society the risk of losing money, financial risk, is a major concern for individuals and societies. Yet the understanding and analysis of financial risk in modern finance theory is very weak and incomplete. Its definitions are muddled with risk management issues, implying that only manageable risks are relevant for scientific analysis. There is also an explicit bias towards measurable risks, implying that unmeasurable risks are somehow irrelevant. Risk analysis in finance is devoid of an ethical stance, a prerequisite for any reasonable discussion of risk. Beck's ‘Risk Society’ is a powerful critique of modern science and its inability to deal with the significant increase in social and ecological risks created by modern industrial society. This paper uses concepts generated by Beck to unravel the various dimensions of financial risk, many of which have hitherto been ignored in the mainstream finance literature. It reveals the extent to which the analysis and understanding of risk in modern finance theory is partial and incomplete. Suggestions are then made for how the analysis of financial risk could be modified to include a wide range of individual, ethical and societal dimensions.

Shimla is a teeming city, with a population of 140,000, in the north Indian Himalayas. It sits in an area of high seismicity that was rocked by a devastating earthquake about a hundred years ago, yet is oblivious of the ticking time bomb below its foundations. Initiating risk reduction in this fast growing urban economic hub is an enormous challenge. SEEDS, a national NGO, started working in the city just before the earthquake centenary in 2005, with an aim to identify ways of reducing earthquake risk through actions that could be carried out by the citizens and the local government, with school children playing a catalytic role.

This chapter addresses the “Taylorism–Fayolism–Weberism (TFW) virus,” a metaphor developed to highlight how organizational features recommended by each of these three management theorists produce dysfunctions that create unintended hidden costs that adversely impact organizations and their employees. The virus leads to an ideology where cost cutting is seen as the best means to improve an organization’s performance. We explore the problematic features of the TFW virus: hyperspecialization, separation of work design from work execution, and depersonalized job descriptions designed for workers who are falsely assumed to be lazy. We then address how these organizational features are related to micro dysfunctions and hidden costs (e.g., poor work organization) that accumulate into macro-level dysfunctions and costs that form the features of the risk society envisioned by Ullrich Beck (1992). These dysfunctions collectively threaten human and planetary existence. Next, we describe how the socioeconomic approach to management (SEAM) can address the TFW virus in ways that manage and remediate micro, macro, and planetary risks that emerge from a globalized enterprise. We conclude by offering a hopeful agenda for research on how to use SEAM to more effectively manage the emerging micro and macro dysfunctions and impacts of the world risk society.

Share pledge is a popular way to raise funds in China, but it aggravates information asymmetry. As an indispensable information intermediary in the financial market, media coverage affects asset price and pricing efficiency and impacts information asymmetry. This study aims to explore the governance role of media coverage as an information intermediary in the share pledge context in China.

Moderating effect and mediating effect analyses are the primary methods used to test the governance role of media coverage. The ordinary least squares model was used to test the relationship between share pledge and market performance and then proved the moderating effect of media coverage toward the corporate market value of pledge firms. Accounting earnings value relevance models were explored to test the path of media coverage on firm market value by mediating effect analysis. At last, subgroup tests were used to verify the heterogeneity of the moderating effect of media coverage.

In the context of share pledge in China, the higher the share pledge ratio, the higher is the market value of listed firms, which verifies the motivation of controlling shareholders to avoid the transfer of control right and the motivation to tunneling. Media coverage has a significant negative moderating effect on the relationship between share pledge rate and corporate value and has a significant impact on the accounting earnings value relevance of share pledge firms. From the perspective of long-term earnings, media coverage reduces the market performance of share pledge firms by reducing the value correlation of accounting earnings information. From the short-term price point of view, media coverage reduces the market performance of share pledge firms by improving the value correlation of accounting earnings information. Furthermore, media coverage has a more significant moderating effect in state-owned share pledge firms and low information transparency and low information disclosure quality firms.

This paper does not distinguish the mode difference of spreading news and the impact of non-pledge media coverage. Also, this paper does not consider factors other than accounting information value relevance when exploring how media coverage affects the corporate market value. Share pledge firms should use media for publicity and play a role in media governance and should actively improve their information disclosure quality, strengthen communication with investors and reduce information asymmetry fundamentally.

This paper diversify the governance choices for share pledge firms and has important implications for firms, investors, information intermediaries and regulators. Media reports play an increasingly important role today, and any reports and predictions of major events may profoundly affect investors’ decisions. Although media reports can make up for the weakness of accounting information disclosure of equity pledge companies in some sense, it is still not a long-term strategy. Equity pledge companies should not only make use of media for publicity and play a role of media governance but also actively improve their information disclosure quality.

This paper focuses on share pledge firms to carry out in-depth research. Based on exploring the influence mechanism of share pledges, the authors find the importance of media governance. This paper expands the literature about the economic consequences of share pledges and provides empirical data for media governance of share pledge firms. This paper innovatively proves the governance role of media coverage from the view of accounting information value relevance. The main innovation point is the long and short-term perspective analysis of the influence of media coverage on the correlation of accounting earnings value. The heterogeneity effect analysis of media coverage also reflects the depth and strong practical guiding significance of this study.

Santana do Riacho County, in Minas Gerais State, Brazil, is located in an area known for its natural beauty. The growth of tourism has been the main economic activity of this area. In order to achieve organized land occupation and self‐sustained development, thematic maps of the physical environment were elaborated. Analysis of the water sources supply and recreation have been completed. The risk of water contamination has increased, caused by the increase of tourism activities in this area, added to by local authorities policy. The analysis of all the thematic maps and of the quality of the water sources supply of the area, lead us to develop proposals for land use planning and zoning, adequate for the local conditions and the vulnerability of the underground water contamination. These issues are important concerning the local development and also land use, caused by the tourism activities.