Quantitative spatial assessment of the impact of urban growth on the landscape network of Türkiye's coastal cities.

This study aims to evaluate the impact of urban spatial expansion on the landscape patterns of coastal cities in Türkiye through the use of spatio-temporal indices. To this end, temporal samples covering a period of approximately 30 years (1986-2000 and 2000-2015) were analyzed for six selected coastal cities in Türkiye. The urban spatial growth patterns in these cities were characterized using 17 geospatial indices, and Pearson's correlation coefficient and principal component analysis were employed to assess the quantitative relationships between urban spatial development and the fragmentation of landscape networks. The results of the study demonstrated that the patterns of landscape fragmentation caused by the spatial growth patterns of the selected coastal cities can be divided into two categories: disconnected landscape connections and perforated landscape patterns. Leapfrog development was identified as a major factor in the fragmentation of landscape continuity, leading to the formation of perforated green structures. The findings of this research can serve as spatial guidelines for addressing disconnected landscapes, a crucial factor in enhancing urban sustainability in Türkiye's coastal cities. Furthermore, the outcomes of this study may be useful for informing the national well-being strategy for urban planning and natural mitigating policies in Türkiye's coastal regions.

Odor-aided analysis for landfill site selection: study of DOKAP Region, Turkey.

In our world, with the increase of factors such as the rapid and irresponsible consumption of natural resources, man-made environmental disasters, global warming, and pollution of water resources in our world, the need for more efficient storage and disposal of solid waste has arisen. The presentation of the data required to solve spatial problems such as storage, management, and location selection can be carried out extensively and effectively using geographic information systems (GIS). On the other hand, the unsatisfactory results obtained with GIS recently have made it mandatory to use spatial multiple criteria decision-making (S-MCDM) methods that include the decision-makers in the process. In this study, landfill site selection was carried out in eight provinces in the region under the responsibility of the Eastern Black Sea Project Regional Development Administration (DOKAP). GIS and S-MCDM were used together in this site selection process. A total of eight spatial data layers were used in the site selection application. Afterwards, storage areas determined as suitable via GIS analysis underwent additional evaluation, taking into account geological, seismic, and environmental factors as well as transportation costs. In addition to these multi-component evaluations, odor analyses were carried out on the proposed storage areas using the prevailing wind direction.

Modelling Socio-Spatial Change: Istanbul, Kadiköy Case.

This study aims to understand the relationship between social structure and morphological character based on a case area from Kadiköy, Istanbul, Turkey considering several independent (cultural diversity, family type, income level, ownership status) and dependent (land use type, land cover, building type, building layout, settlement type, settlement pattern, street pattern, commercial pattern) variables. Existing data is processed in two steps and analyzed by categorical regression. Results of the study show that urban character of the Kadiköy historical city center is closely related with family type, income level and cultural diversity. As this study has unique contributions in search for alternative methodologies to overcome limitations in the availability of data, it is expected to open new dimensions for further studies in social sciences and urban studies.