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The fires encountered in the buildings and facilities of industrial areas make up quite a small proportion of all fire cases. However, in terms of the heat release rate, size of the burned area, damage, and impact zone, such fires have a large impact as compared to other fire cases. All fires have risk in terms of propagation. However, since fires in industrial structures and plants have rather high levels, qualitatively and quantitatively, compared to residential fires and other types of fires, it should be regarded as necessary to research them extensively. In this study, fires that have broken out in various places around Turkey, such as in factories, cold storage plants, and manufacturing facilities, were investigated. We aimed to determine the level of risk of the occurrence of these fires in the environment. A large amount of detailed information gathered about these fires was analyzed. This information includes data about the causes of the fires, deformation data of various materials, data on technical problems, data on financial damage levels, and data on fire patterns. We found 40 of these fire cases in total, and the case data were used to calculate the risk scores with the Geographic Information System (GIS), Analytical Hierarchy Process (AHP), and Inverse Distance Weight (IDW) methods. For each fire case, places sensitive to damage and losses were assessed according to six main criteria. Buffer analysis maps were generated for the 40 fire cases, and the cases were ordered based on their overall risk scores. In this ordering, fire case number 21 was found in the riskiest region, and fire cases 32, 17, and 31 were found in the low-risk region. Fire case number 21 occurred in a factory used for manufacturing fabric. This factory works with high volumes of acrylic, polyester, and other raw materials. In addition, there are some structures in very close proximity. It was observed that fire cases could be well differentiated depending on the selected criteria in the model applied.

The key concepts availability and accessibility have been taken into consideration in urban studies as well as the health and social aspects of ageing. These terms are in close relation with the “active ageing”, “age-friendly city” and “liveable city” concepts. These concepts were created by the UN, the World Health Organization, and other institutions aiming to increase the quality of life of older individuals and to regulate their living environments in an optimal way for an active and independent life. Improving accessibility and availability of facilities for older people in urban areas is crucial to ensure that older people are able to meet their own needs as well as prevent their exclusion from society. The planning of cities that prevents the social exclusion of older people and provides an independent way of living is the main objective of the concept of liveable cities. From this point of view, this study aims to evaluate the existing opportunities in an urban area in the context of liveability. Out of the multi-criteria decision-making models, analytic hierarchy process (AHP) and geographic information systems (GIS) were therefore used in this research. Three main districts of Kepez, with the highest population of older individuals, have been chosen. According to the findings of the study, the weight of health services has the highest score compared to other criteria. The liveability scores and grading of the districts were obtained using the AHP matrix. In the study, it was concluded that a multi-criteria analysis could be carried out with quantitative data. The real land use and the close environment of the research area should also be considered in the evaluation process.

Cities and urban areas in Europe are very heterogeneous because of their geographic situations, climate, heritage and trajectory, activities, governance and urban management, population, etc. In order to better understand European urban systems despite the diversity of urban characteristics across Europe and taking into account its complexity, the European Environment Agency (EEA) and its European Topic Centre on Urban, Land and Soil systems (ETC-ULS) are developing a methodology to implement a comprehensive and integrated analysis of sustainability of a large number of very diverse cities. This paper reveals the first results of the ongoing project on "City Typologies in Europe". With this aim, the concept of a city typology was elaborated and tested using existing and relevant data on the urban system at European level. 385 European cities were classified to identify different clusters which are derived from 59 indicators under different domains (economic, social and environmental) that reflect the major city characteristics. The objective of this typology is to show the differences and similarities of the huge diversity of European cities by synthesizing available and comparable information. By reclassifying cities into groups, representative cities (role-models) will be identified for each cluster. Since cities are the key players in minimizing the use of resources and developing the circular economic model and are also crucial for the quality of life and well-being of cities' residents, analyzing those

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