Kuşkapan, Emre
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Kuşkapan, Emre
E. Kuşkapan
Emre Kuşkapan
E. Kuşkapan
Emre Kuşkapan
Job Title
Doç. Dr.
Email Address
emre.kuskapan@erzurum.edu.tr
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4.2. İnşaat Mühendisliği Bölümü
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Scholarly Output
33
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30
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0/0
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2
Supervised PhD Theses
1
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0
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26
Supervised Theses
3
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33 results
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Now showing 1 - 10 of 33
Article Promoting Pedestrian Transportation for Reducing Air Pollution from Urban Transport(Bilingual Publishing Co., 2022) Kuskapan, E.; Çodur, M.Y.Increasing air pollution around the world causes many problems, especially in the field of health. Air pollution affects not only human health but also other living things health. The factors that cause air pollution the most are heating, industry, and transportation. Many countries in the world carry out various studies to reduce the effect of these factors on air pollution. Especially in the field of transportation, studies have been quite a lot in recent years. In this study, air pollution caused by transportation in Erzurum, Turkey has investigated. Emission amounts of NOX, PM10, and SO2 values have calculated according to the types of vehicles in the city. Then, the amount of emissions from transportation in the total sector has revealed. The transportation structure of the city has examined in general terms and the missing aspects in terms of pedestrian transportation have revealed. Finally, some solution proposals aiming to encourage the use of pedestrian transportation and micro mobility vehicles in order to reduce motor land vehicles are presented. © 2022 by the author(s).Article Investigating the Impact of Public Transport Usage Behaviors on Air Pollution After Covid-19(Bentham Science Publishers, 2025) Kuskapan, E.; Campisi, T.Introduction: The COVID-19 pandemic has significantly disrupted urban life, including long-lasting changes in public transportation usage patterns. This study investigates how behavioral shifts in public transport ridership after the pandemic have influenced urban air quality. Materials and Methods: The research analyzed data from eight major European cities: Paris, Berlin, Athens, Rome, Lisbon, Madrid, Istanbul, and London. A Public Transport Usage Index (PTUI) was developed based on five key behavioral factors affecting public transport use post-COVID. The relationship between this index and air quality was statistically examined by calculating the correlation between PTUI and the post-pandemic Air Quality Index (AQI). Results: A strong negative correlation (r = -0.9304) was identified between the PTUI and AQI, indicating that increased public transport use is associated with improved air quality. All cities showed this trend, except Berlin, where the pattern deviated. Notably, cities with higher PTUI scores experienced more significant reductions in pollution indicators such as PM2.5 and NO2. Discussion: These results underscore the role of sustainable public transport usage in mitigating urban air pollution. The findings align with existing literature emphasizing modal shift as a key strategy in urban environmental improvement. However, the study is limited by potential variations in data reporting standards across cities and by short-term observational scope. Conclusion: This study demonstrates that post-pandemic behavioral changes in public transport usage have had a measurable impact on urban air quality. The findings offer valuable insight for urban planners and policymakers seeking to design resilient, health-conscious transportation systems that support long-term environmental sustainability. © 2025 The Author(s). Published by Bentham Open.Article An Assessment of the Relationship Between Micro-Mobility Use and Air Quality in Selected Cities(Elsevier, 2024) Kuskapan, EmreAir pollution causes serious health problems and environmental impacts in many countries around the world. This study aims to reveal the relationship between the micro-mobility usage frequency and air pollution in cities. In order to reveal this relationship, the micro-mobility usage frequency and air quality index values of PM2.5 and PM10 pollutants for 6 different cities with similar population from different parts of the world were used. According to the results of Pearson correlation analysis, a correlation coefficient of -0.961 and - 0.917 was obtained between the micro-mobility usage frequency and the air quality index of PM2.5 and PM10, respectively. This result shows that the micro-mobility usage frequency affects the air quality with a very strong relationship. Cities with high micro-mobility use, such as Singapore and Philadelphia, have less air pollution, while cities with low micro-mobility use, such as Ankara and Milano, have more air pollution. It is believed that the results obtained from the study provide important ideas for policy makers and transportation planners to design cities with sustainable transportation infrastructure. By increasing investment in the use of micro-mobility vehicles in cities and encouraging people to use this type of transportation, air pollution can be significantly reduced.Article Analysing Traffic Accidents in Terms of Driver Violation Behaviour Types: Machine Learning and Sensitivity Analysis Approaches(Wiley, 2025) Kuskapan, Emre; Codur, Muhammed Yasin; Dissanayake, DilumTraffic accidents have become a major concern for governments, organizations and individuals worldwide due to the material and moral losses they cause. It is possible to reduce this concern by taking into account the research conducted by relevant institutions and organizations in this field. The main objective of this study is to categorize traffic accidents according to driver violation types and analyse them using machine learning algorithms and feature sensitivity to identify the most influential variables in each category. For this purpose, traffic accident reports that occurred in Erzurum province in the last 1 year were used to categorize and classify driver violation behaviour types. Five different machine learning algorithms, namely k-nearest neighbour, support vector machines, naive Bayes, multilayer perception and random forest, were used to examine the success performance of the classification. Among these, 91% successful classification was obtained with the random forest algorithm. Based on the classification obtained from this algorithm, sensitivity analysis was used to reveal the variables that most affect each violation category. The results of the analysis revealed that driver age and vehicle type were the most influential variables for many types of violations. Thanks to this study, the problems were clearly identified by going into the details of driver violation behaviours. At the end of the study, measures to reduce driver violation behaviours were proposed. If the recommendations that can reduce driver behaviour are taken into consideration by transportation authorities and policy makers, traffic accidents can be significantly reduced.Article Public Transit Usage and Air Quality Index During the COVID-19 Lockdown(Academic Press Ltd- Elsevier Science Ltd, 2021) Sahraei, Mohammad Ali; Kuskapan, Emre; Codur, Muhammed YasinThe people suffering from coronavirus have to lead unprecedented actions including limiting travel especially using public transportation. Therefore, lockdown measures and social distancing to decelerate the distribution of the COVID-19 has become the new norm. Nevertheless, improvement in the ambient air quality of the cities globally has appeared as a key advantage of this lockdown. There is a lack of research in the field of public transportation mobility and the Air Quality Index (AQI) during the COVID-19 lockdown globally. Consequently, this research aims to examine the overall impact of the public transit usage and ambient air quality, i.e. both AQI and indicatory air pollutants, during the lockdown in 12 countries. Data collections for analysis of public transportation usage and air quality status during the lockdown and one year before this period were carried out utilizing public transportation application Moovit and World?s Air Pollution. The results demonstrated that the lockdowns of 12 countries led to dramatically decreased human movements and public transit usage up to -90% until the end of March and it had no major changes until the end of May. In the case of ambient air quality, the average values of AQI in the 12 countries within lockdown 2020 for classes I(AQI:0-50), II(AQI:51-100), and III (AQI:101-150) increased by 12%, 9%, and 13% while for classes IV(AQI:151-200), V(AQI:201-300) and VI (AQI:301-greater) decreased by 10%, 27%, and 3% in comparison with the identical time throughout 2019. The results also indicate that throughout lockdown 2020, in the 12 countries, the percentages of indicatory air pollutants of PM2.5, PM10, SO2, CO, and NO2 were decreased by 16%, 21%, 41%, 48%, and 35% lower than those in the same time in 2019. Mechanism analysis and comparisons highlighted that the lockdowns of 12 countries led to decreased human mobility and improvement in the AQI around the world.Article Dünyada Son 20 Yılda Meydana Gelen Uçak Kazalarının İncelenmesi(2021) Çodur, Muhammed Yasin; Kuşkapan, EmreHava taşımacılığı uzun mesafeli yolculuklar için çok tercih edilen bir ulaşım türüdür. Bu tip ulaşım, özellikle son 20 yılda teknolojinin gelişmesiyle büyük ilerleme kaydetmiştir. Bu ulaşım türünün hızlı ve güvenli olması sayesinde yolcu kapasitesi giderek artmaktadır. Bu duruma rağmen, bir uçak kazası meydana gelmesi durumunda ölüm oranı oldukça yüksektir. Bu sebeple yüzlerce insan tek bir kazada ölebilmektedir. Bu çalışmada, son 20 yılda dünyada meydana gelen uçak kazaları incelenmiştir. Kaza sayıları, ölüm sayıları ve kazaların uçuşun hangi aşamasında meydana geldiğini içeren veriler kullanılmıştır. Bu veriler veri madenciliği algoritmaları olan çok katmanlı algılayıcı, k en yakın komşuluk, Naive Bayes, J48 ve regresyon yöntemleri kullanılarak analiz edilmiştir. Buna göre, beş farklı algoritmadan, hata ölçeği ve performans analizi için en iyi sonuçları veren algoritmanın J48 olduğu belirlenmiştir. Bu algoritma kullanılarak uçak kazalarının meydana gelme aşamaları daha detaylı halde sınıflandırılmıştır. Yapılan bu çalışma sayesinde benzer veri kümelerinin sınıflandırma işlemi için J48 algoritmasının tercih edilmesinin daha iyi sonuçlar vereceği ortaya konmuştur. Ayrıca bu çalışmada kazaların meydana geldiği aşamalar daha detaylandırıldığı için problemlerin merkezine inme adına önemli fayda sağlamaktadır. Bu doğrultuda politika yapıcılar kazaların meydana geldiği aşamaları dikkate alarak çalışmalar yürütürse kazaları azaltabilmek mümkündür.Article Identifying the Most Critical Intersections in Transportation Networks(Univ Osijek, Tech Fac, 2021) Kuskapan, Emre; Codur, M. Yasin; Tortum, AhmetWith the increasing population worldwide, the number of vehicles is increasing day by day. This increase also creates different traffic problems. Various analysis methods are developed to solve traffic problems and to better examine the road transport network. Especially with the development of technology and intelligent transportation systems entering our lives, analyses can be made using computer software and programs. In this study; using the social network analysis method, the use of which has increased in the field of transportation in recent years, the highway network structure of Erzurum Province - which consists of district connection roads has been analyzed. While making the analysis, the network structure was examined through five different centrality concepts and the critical sequence of the intersections in the district connection roads was determined. Accuracy percentages of the concepts of centrality were determined by comparing the sequences obtained with the sequences actually applied. Then, it was determined that the most suitable centrality concept for the study was Bonacich Power.Article Improving the Management of Operations of the E-Scooter Services in Sicily: A First Step of a Descriptive Statistical Survey(Univ Zilina, 2023) Campisi, Tiziana; Vianello, Chiara; Kuskapan, Emre; Codur, Muhammed Yasin; De Cet, GiuliaThe recent pandemic has changed the modal choices of users in the urban context, highlighting in the last two years an increase in the diffusion of electric scooters, which is not homogeneous in the Italian context. At the beginning of 2020, the first e-scooter services were launched in Sicily, with the city of Palermo leading the way. A survey was therefore conducted in Sicily involving approximately 550 regular users of e-scooter services. The descriptive statistical analysis undertaken compared three different periods pre, during and post pandemic, with particular attention to the gender and age gap and different trends in the diffusion of multimodality. The results provide not only some suggestions for the improvement of services by managers but some suggestions to local administrators for implementation of democratic and sustainable planning steps, as well.Article Impact of Covid-19 on Public Transportation Usage and Ambient Air Quality in Turkey(Faculty of Transport and Traffic Engineering, 2021) Sahraei, M.A.; Kuskapan, E.; Çodur, M.Y.COVID-19 caused by the SARS-CoV-2 virus is a global health concern due to the quick spread of the disease. In Turkey, the first confirmed COVID-19 case and death occurred on 11 and 15 March 2020, respectively. There is a lack of research on the impact of COVID-19 on public transportation mobility and the Air Quality Index (AQI) around the world. The objective of this research is to consider the impact of COVID-19 on public transportation usage and consequently the AQI level in Turkey. Data collection for the analysis of public transportation usage and the air quality status during pre-lockdown and lockdown was carried out using the public transportation applications Moovit and World’s Air Pollution. The results demonstrated that during the lockdown in Ankara and Istanbul, public transportation usage dramatically decreased by more than 80% by the end of March and did not change significantly until the end of May. As regards air quality, the results confirmed that air quality improved significantly during the lockdown. For Ankara and Istanbul, the improvement was estimated at about 9% and 47%, respectively. © 2021, Faculty of Transport and Traffic Engineering. All rights reserved.Article Long-Term Impact of Micro-Mobility on Air and Noise Pollution: A GIS Approach(Elsevier, 2026) Kuskapan, EmreThis study examines the current status of air and noise pollution along Erzurum's micro-mobility route and the expected changes under the 2030 sustainable transportation scenario. Measurements were conducted at 64 points, considering PM2.5 concentrations for air pollution and sound levels for noise pollution. Using Turkey's 2030 sustainability targets, a scenario was developed for 14 different areas to assess the potential impact of increased micro-mobility use on pollution levels. The results indicate a general decrease in PM2.5 values, with reductions reaching up to 24 % in certain areas, while noise pollution levels declined by up to 18 %. Spatial distribution maps were created using ArcGIS 10.3.1 to compare current conditions and future projections. The findings highlight the significant role of micro-mobility in reducing urban pollution and emphasize its potential in sustainable urban planning. This study provides valuable insights for policymakers in developing environmentally friendly transportation strategies.
