Journal of Contemporary Urban Affairs https://ijcua.com/index.php/ijcua <h2><strong>Journal of Contemporary Urban Affairs</strong></h2> <p><strong>Main Title</strong></p> <p>Journal of Contemporary Urban Affairs</p> <p><strong>Serial key title</strong></p> <p>Journal of Contemporary Urban Affairs</p> <p><strong>Abbreviation:</strong> JCUA</p> <p><strong>Serial type:</strong> Journal</p> <p><strong>Publisher:</strong> Alanya Hamdullah Emin Paşa Üniversitesi, <a href="https://www.alanyahep.edu.tr/">https://www.alanyahep.edu.tr/</a></p> <p>Postal Address: Alanya Hamdullah Emin Paşa University, Cikcilli District, Saraybeleni Street No:7 07400 Alanya/Antalya/TURKEY</p> <p><strong>Publisher’s History:</strong></p> <p>Since December 2019- ongoing: Alanya, Turkey: Alanya Hamdullah Emin Paşa Üniversitesi</p> <p>From June 2017 until June 2019: Mersin, Turkey: Anglo-American Publications LLC</p> <p><strong>Licensing History:</strong><br />Since 18th May 2020, we have been using the Creative Commons Attribution 4.0 International license <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY</a> / @Authors. <br />From January 2017 until 17 May 2020, we used Attribution-NonCommercial-NoDerivatives 4.0 International license <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/">CC-BY-NC-ND</a> / @Journal of Contemporary Urban Affairs.<br /><strong>Publication Medium:</strong> Printed and Electronic version</p> <p><strong>ISSN (printed):</strong> <a href="https://portal.issn.org/resource/ISSN/2475-6156">2475-6156</a> </p> <p><strong>ISSN (online):</strong> <a href="https://portal.issn.org/resource/ISSN/2475-6156">2475-6164</a> </p> <p><strong>Publication Website: </strong><a href="https://www.ijcua.com/index.php/ijcua">https://www.ijcua.com/index.php/ijcua</a></p> <p><strong>Editor-in-Chief:</strong> Assoc. Prof. Dr. Hourakhsh A. Nia</p> <p><strong>Editors:</strong> see <a href="https://ijcua.com/index.php/ijcua/about/editorialTeam">» Editorial Team</a></p> <p><strong>Frequency:</strong> 2 issues per year (June and December)</p> <p><strong>Status:</strong> Active</p> <p><strong>First Year Published:</strong> 2017</p> <p><strong>The DOI Prefix</strong> allotted for JCUA is 10.25034</p> <p><strong>Content-Type:</strong> Academic/Scholarly</p> <p><strong>Language:</strong> English</p> <p><strong>Key Features:</strong> Abstracted and Indexed, Refereed, Double-Blind Peer Review.</p> <p><strong>Indexing Databases:</strong> see <a href="https://ijcua.com/index.php/ijcua/abstracting-and-indexing">» Abstracting and Indexing</a></p> <p><strong>Keywords:</strong> Citizenship Rights and Responsibilities: Quality of Life, Liveability, Public Health<em>, </em>Urban Identities, Participatory projects and Walkable cities. Territorial Studies: Gated Communities, Urban resilience, Conflict and Divided Territories, Slums, Port-cities, Heritage Studies, Housing Studies, Mediterranean Architecture and Urbanism. Urban transformation: Urban Renewal, Urban Regeneration, Urban Morphologies, Rapid Urbanization, Urban Sprawl, Smart Cities, Emerging Cities and Littoral transformations.</p> en-US editor@ijcua.com (Assoc. Prof. Dr. Hourakhsh Ahmad Nia) ijcua@ahep.edu.tr (Mehmet Kilinc) Sat, 18 Jun 2022 00:00:00 +0000 OJS 3.3.0.10 http://blogs.law.harvard.edu/tech/rss 60 Data Mining as a Method for Comparison of Traffic Accidents in Şişli District of Istanbul https://ijcua.com/index.php/ijcua/article/view/298 <p><em>Studies to reduce traffic accidents are of great importance, especially for metropolitan cities. One of these metropolitan cities is undoubtedly Istanbul. In this study, a perspective on reducing traffic accidents was trying to be revealed by analyzing 3833 fatal and injury traffic accidents that occurred in the Şişli district of Istanbul between 2010-2017, with Data Mining (DM), Machine Learning (ML) and Geographic Information Systems methods (GIS), as well as traditional methods. It is aimed to visually determine the streets where traffic accidents are concentrated, to examine whether the accidents show anomalies according to the effect of the days of the week, to examine the differences according to the accidents that occur in the regions and to develop a model. For this purpose Kernel Density, decision trees, artificial neural networks, logistic regression and Naive Bayes methods were used. From the results obtained, it has been seen that some days are different from other days in terms of traffic accidents, according to the accident intensities and the performances of the modelling techniques used vary according to the regions. This study revealed that the ‘day of the week effect’ can also be applied to traffic accidents</em></p> Ph.D. Candidate Mert Ersen, Professor Dr. Ali Hakan Büyüklü, Professor Dr. Semra Erpolat Taşabat Copyright (c) 2022 Ph.D. Candidate Mert Ersen, Professor Dr. Ali Hakan Büyüklü, Professor Dr. Semra Erpolat Taşabat https://creativecommons.org/licenses/by/4.0/ https://ijcua.com/index.php/ijcua/article/view/298 Thu, 07 Jul 2022 00:00:00 +0000 Influence of Green Infrastructure on Residents’ Endorsement of the New Ecological Paradigm in Lagos, Nigeria https://ijcua.com/index.php/ijcua/article/view/290 <p><em>Given the significance of green infrastructure in enhancing social, economic and ecological sustainability of the built environment, it is important to unearth how green infrastructure can influence pro-environmental behaviours among the urban population. This research assessed the influence of green infrastructure on residents’ endorsement of the New Ecological Paradigm (NEP) in Lagos Metropolis, Nigeria. A total of 1560 residents recruited through the multi-stage sampling technique participated in the survey, and the data gathered were subjected to descriptive and regression analyses. The participants generally felt that the available green infrastructure in their neighbourhoods was of low quality and rapidly disappearing, but it positively influenced all the key variables of the NEP and its endorsement. The size of neighbourhood green spaces, availability of green spaces for relaxation and its proximity to the people were found to be the three attributes of green infrastructure with the most noticeable influence on residents’ endorsement of NEP. This study implies that the availability and accessibility of a reasonable quantity of green areas within urban neighbourhoods can enhance a better understanding of the role of green infrastructure and promote favourable environmental behaviours among the urban population within and outside Nigeria.</em></p> Dr. Adedotun Ayodele Dipeolu, Professor Dr. Eziyi Offia Ibem, PhD candidate Olusegun Ayotunde Oriola Copyright (c) 2022 Dr. Adedotun Ayodele Dipeolu, Professor Dr. Eziyi Offia IBEM, PhD candidate Olusegun Ayotunde ORIOLA https://creativecommons.org/licenses/by/4.0/ https://ijcua.com/index.php/ijcua/article/view/290 Sat, 06 Aug 2022 00:00:00 +0000