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The year 2023 represents a 100-year period of becoming a country for Türkiye. This study examines the urban expansion evolution of Konya in Turkey over a century of urbanization. The expansion process is assessed through the analysis of urban plans from 1923, 1945, 1967, 2000, and 2023 using (1) density calculation derived from the population divided by built-up cells and (2) density calculation utilizing Inverse S function based on land use data. Considering the calculated densities, the city's evolution over a hundred years is examined concerning evolving regulations land use decisions, and growth trajectories. The existing conditions, encompassing both the advantageous and disadvantageous facets of urban expansion, are examined using SWOT analysis, and spatial development strategies for the future are devised. As a result, it has been determined that Konya has undergone urban expansion in certain directions irregularly, attributed to transportation-focused planning decisions, deviating from human-scale and compact urban development. [ABSTRACT FROM AUTHOR]

The usage of OpenStreetMap (OSM), one of the resources offered by Volunteered Geographic Information (VGI), has rapidly increased since it was first established in 2004. In line with this increased usage, a number of studies have been conducted to analyze the accuracy and quality of OSM data, but many of them have constraints on evaluating the profiles of contributors. In this paper, OSM road data have been analyzed with the aim of characterizing the behavior of OSM contributors. The study area, Ankara, the capital city of Turkey, was evaluated with several network analysis methods, such as completeness, degree of centrality, betweenness, closeness, PageRank, and a proposed method measuring the activation of contributors in a bounded area from 2007–2017. An evaluation of the results was also discussed in this paper by taking into account the following indicators for each year: number of nodes, ways, contributors, mean lengths, and sinuosity values of roads. The results show that the experience levels of the contributors determine the contribution type. Essentially, more experience makes for more detailed contributions. [ABSTRACT FROM AUTHOR]