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The purpose of this paper is to describe a risk-based methodology developed to identify the severity of impacts to various types of infrastructure located within the Tennessee State Park system when exposed to extreme weather events. Infrastructure systems, composed of various assets, are central to the economic, environmental and cultural functioning of the society. Understanding the potential impacts to these assets from various threats is fundamental to prudent strategic, operational and financial decision-making. Among infrastructure, systems of interest are those managed and operated by park services. Such systems are particularly exposed to extreme weather, given the recreational activities that they provide.

This paper describes a risk-based methodology developed to identify the severity of impacts to various types of infrastructure located within the Tennessee State Park system when exposed to extreme weather events. It consists of the following steps: identifying extreme weather event types experienced in Tennessee; assessing damage to various types of park system infrastructure caused by these events; and deriving an overall impact score associated with specific types of park system infrastructure when exposed to certain types of extreme weather scenarios.

In applying this methodology, tornadic events were found to be most impactful, whereas drought and heat events had the least effect on park infrastructure. Dining and lodging infrastructure were found to incur the most damage, regardless of the weather event type.

The approach as described in this paper is transferable to other park systems as well as public sector assets in general.

The purpose of this paper is to present problems related to the assessment of losses and expenditures caused by weather and climate-related events in Poland.

The data were collected by the direct questionnaire method from selected national and regional/local administration units.

The direct losses in 2001-2011 were estimated at more than PLN56 billion. The greatest losses were estimated in agriculture and infrastructure. The total amount of losses were estimated at PLN90 billion. In 2001-2011, more than PLN45 billion was spent in Poland on recovery and prevention of the impacts of extreme events, with a large part of it consisting of damages and benefits paid out by insurance companies.

Given the limitations related to the method for collecting information, the results may be underestimated. It is well-advised to consider information on such a type of uncertainty in the course of the future research.

The results are of large importance for the building of public awareness and the making of political and investment-related decisions.

The estimates given in the paper are the first presentation of losses and expenditures caused by all the extreme events in the Polish territory which has been prepared on the basis of so many official information sources. The determination of “bottlenecks” related to the existing method for collecting information is a first step toward its improvement.

The Philippines is one of the most vulnerable countries in the world as far as climate-related and other forms of disasters (e.g., earthquake and volcanic eruption) are concerned (World Bank and NDCC, 2004; UNISDR, 2008a, 2008b). In 2004 alone, 25 weather disturbances hit the country, of which four occurred successively in November and the first week of December. These triggered massive landslides and flooding in Southern and Central Luzon, leading to damages in lives and properties (Duque, 2005). With this the country is considered as one of the most disaster prone, ranking 12th among the 200 countries most at risk to natural hazards in the 2009 Mortality Risk Index of the United Nations International Strategy for Disaster Reduction (UNISDR, 2009).

Global issues on the environment, such as climate change, air pollution and carbon monoxide emission, are the primary concerns in any part of the world. The purpose of this paper is to construct a conceptual framework for the travel behavior performance of a commuter, and it is expected to mitigate air pollution from vehicle emission and to promote smart mobility on the road.

From the extensive literature review, the conceptual framework for the travel behavior performance of a commuter has been developed and is supported by the theory of interpersonal behavior (TIB), whose functions are attitude, social factor, affect and habit. In the present paper, attitude is conceptualized by four predictors, namely confidence in driving, green environment, social responsibility and deviation in driving. The social factor is characterized by subjective norms, social status and digitalization. Affect factor is conceptualized by accidents and damages, road infrastructure, and weather conditions. The mental block in following the ancestor’s way of owning a personal vehicle is the predictor for the habit.

One of the major contributors to environmental damages is road traffic. Notably, vehicle emissions are on the rise every year due to the increase of reliance on vehicles, and there is no alternative to this issue. Although Malaysia has a well-organized infrastructure with effective digitalized technology on the road for the transport system, there is severe traffic congestion in Klang Valley, Kuala Lumpur, because of a lack of travel plan behavior during peak hours. If the road commuters give the predictors constructed in the proposed conceptual framework the highest importance, then there will be much relief to traffic congestion on the road.

Since the present study focuses on the conceptualization of an urban travel behavior model (UTBM), and also highlights the synchronization of the proposed framework with the management theory, the results are expected after the primary survey based on the cross-sectional study will be conducted.

The identification of the suitable predictors for the UTBM toward the travel behavior performance of a commuter is the real novelty of the present study. Also, the cause and effect relationships of different predictors in terms of path directions of the proposed research framework are the highlights of the study. Further, the predictors in the proposed framework and the TIB have been synchronized with operational definitions, which are the original contributions of the present study, which will enhance the sustainable environmental development for the society as a whole.

After many years’ practice and experiments, it was found that quantitative analysis systems with unequal quantitative effect cannot be extended into that with equal quantitative effect. While it is related to such epistemological viewpoints as irregularity and continuity systems, an infrastructural form comparison has shown universally scientific and methodological characteristics. In combination with evolution of weather systems, our infrastructural analysis involves applications of super low temperatures, reversed information order, rolling currents infrastructure in reversal weather change and long‐term weather forecasting.

The purpose of this paper is to discuss the current state of FM preparedness required to deal with the risks to healthcare delivery posed by climate change‐related extreme weather events.

Selected stakeholders were invited to participate in targeted focus groups that, using the ROMS methodology, explored the status of current knowledge and preparedness of the NSW health system to deal with the expected demands imposed by increasing incidences of extreme weather events. Findings are summarised and discussed in terms of the key stakeholder objectives identified. Further areas of required research are then discussed.

The key objectives of the stakeholders were readily agreed, however a lack of information regarding the quantifiable impacts forecast to be associated with climate change constrained the development of other than generic strategies for dealing with these impacts. Further areas of research included assessment of changing demand for health services, likely physical impacts on facilities and their adequacy in coping with these, implementation strategies for augmenting coping capacity and associated costs, plus the need for integrating disaster planning and management strategies to ensure the continuity of operation of health facilities during extreme weather events.

The paper outlines the status of current knowledge regarding the likely impact of climate change‐related extreme weather events on healthcare infrastructure. It explores key issues and determines where future work should be undertaken to ensure that rigorous FM responses are available to cope with a clear and identified threat to the health of the Australian, and similar communities.

The risk of aircraft runway excursion, dependent on multiple factors, is related to operating conditions. The purpose of this paper is to identify the correspondence between features belonging to different aspects that occur in runway excursion events, distinguishing between take-off and landing phases.

To define the correspondence between the characteristic features of runway excursions, this study has applied multiple correspondence analysis (MCA). MCA is used to represent and model data sets as “clouds” of points in a multi-dimensional Euclidean space. There are five variables used in MCA: geographical region, potential cause, aircraft class, flight nature and aircraft damages. For the purpose of this research, the database contains only runway excursion accidents that took place between 2006 and 2016 among all categories of aircraft in all world regions. The events contained in the database were analyzed by separating those that occurred during take-off and those that occurred during landing.

With this method, this study identified a few particularly interesting variable combinations. Generally, the consequence of an aircraft runway excursion is substantial aircraft damage. Also, the most common cause of runway excursion during take-off is aircraft system faults, while during landing, it is weather conditions. Furthermore, the destruction of an aircraft is a result of a runway excursion due to bad weather conditions, both during take-off and landing.

The results of this study can be used by a broad range of civil aviation organizations for runway risk assessment and to select the most effective safety countermeasures for runway excursions.

The authors believe this study is original, especially for the statistical analysis method used.