1,720,960 research outputs found
Identifying Unsafe Locations for Pedestrians in Konya With Spatio-Temporal Analyses
No full textIdentifying the locations of pedestrian crashes in cities contributes to the full implementation of sustainable transportation for all road users. This study examines the pedestrian crash data of Konya, T ; uuml;rkiye, from 2017 to 2022. First, the dangerous and safe road networks in Konya province were identified. Then, spatial and temporal analyses were performed. Kernel density estimation analysis was used to identify five critical locations with high pedestrian crash density. Hotspot analysis was used to identify roads where crashes showed clustering characteristics. Buffer analysis was used to analyse the effectiveness of traffic lights in preventing crashes and three locations where traffic lights were inadequate in preventing crashes were identified. According to the temporal evaluation, pedestrian crashes increased the most at 8 am and 6 pm. Locations where the number of crashes decreased over time were identified by examining the temporal changes in pedestrian crashes using space-time cube analysis. This study highlights the positive effects of improvements in the pedestrian environment on pedestrian safety. New hotspots have emerged in several areas. Therefore, this approach is valuable for early prevention. With the methodology used in the study, the locations of pedestrian crashes and the cause-and-effect relationships of crashes can be evaluated.The author appreciates the Turkish National Police Traffic Presidency for supporting this research.Turkish National Police Traffic Presidenc
Analysis of traffic accidents which occurs in Konya of city center and determination of critical points
No full textTrafik kazaları ülkemizdeki ve dünyadaki ölümlerde ilk sıraları almaktadır. Bu kazalar can kaybına yol açtığı gibi aynı zamanda birçok kişinin sakat kalmasına neden olmaktadır. Ayrıca ülke ekonomisine de hatırı sayılır bir maddi kayıp meydana getirmektedir. Bahsedilen bu sorunların çözümü için oluşan trafik kazalarının azaltılması gerekmektedir. Bu amaç doğrultusunda bu tez çalışmasında Konya şehiriçinde meydana gelen trafik kazalarının azaltılması için bir çalışma yapılmıştır. Çalışmanın ilk aşamasında Konya şehiriçinde 2004 ve 2005 yıllarında meydana gelen trafik kaza istatistikleri analiz edilmiştir. İkinci aşamasında ise Konya halkının şehir trafiğine ve trafik kurallarına bakış açısını belirlemek için bir anket çalışması yapılmıştır. Daha sonra Konya şehiriçinde en çok kaza olan ilk 10 bölge tespit edilerek bu bölgelerde neden fazla kaza olduğunu belirlemek için bir takım analiz ve gözlemler yapılmıştır. Bu verilere göre de bu bölgelerde oluşan trafik kazalarını en aza indirebilmek için yapılması gereken tespitler sunulmuştur. Son olarak da elde edilen veriler yorumlanarak Konya şehiriçinde meydana gelen kazaların azaltılması yönünde neler yapılabileceği konusunda değerlendirmeler ve öneriler verilmiştir.Traffic accidents take place in the first lines in our country and on the world. These accidents cause a lot of dead and fatalities. Also, it causes serious loss money to country economy. It is necessary to decrease traffic accidents to solve these problems. For this purpose, a study had been made in Konya city centre to decrease the traffic accidents. In the first part of the study, traffic accident statistics in Konya city centre 2004 and 2005 had been analysed. In the second part of the study, a survey study had been made to determine the ideas of people in Konya about city traffic and traffic rules. Later, the 10 zones where the most accident occurred were determined, some analysis and observations had been done at these zones for the reasons of occurring so many accidents. According to these data, necessary results had been presented for decreasing the accidents. At last, the datas had been explained; evaluations and suggestions had been made about what we can do for decreasing the accidents in Konya city centre
Demographic Analysis of Occupational Safety in the Construction Sector: Strategies and Insights for Risk Reduction
No full textThe construction sector is among the most dangerous industries, recognized for its significant rate of accidents with even more serious consequences, especially in developing countries. In addition to threatening the health and living conditions of workers, occupational accidents also negatively impact work productivity and sustainability. In this context, a country-by-country analysis of occupational accidents in the sector is critical to understand local demographic differences better and determine the impact of workplace safety practices. In parallel with the growing economy, the construction sector in Türkiye creates a large employment area and stands out as one of the sectors where occupational accidents occur most frequently. This study aims to analyze the interactions of occupational accidents and incapacity with demographic factors in the construction sector in Türkiye. This study analyzes the demographic factors, including age, gender, marital status, education, and work experience, of workers involved in occupational accidents within the construction industry between 2018 and 2022. As a result, it is found that young (18–27 years), male, single, and less experienced (1–10 years) workers are more prone to occupational accidents while increasing age and education level increases the risk of incapacity caused by occupational accidents. As experience increases, the probability of occupational accidents decreases; however, the recovery period is longer for workers who are exposed to heavy working conditions for a long time. The results show that the probability and severity of occupational accidents differ according to demographic characteristics. Therefore, high-risk workers should be identified, and occupational safety policies should be restructured based on this data. This study provides an important guide for policy changes and practical applications for demographically oriented restructuring of occupational safety measures in the construction industry
Estimation of the Risk of Work-Related Accidents for Underground Hard Coal Mine Workers by Logistic Regression
No full textCoal mining has the most risk in all of the mining sectors. Hence, in this sector, most work accidents encountered are intensive. The demographic characteristics of workers affect the occurrence of occupational accidents. This study aims to develop an equation that predicts workday loss by analyzing the relationship between workers' demographic characteristics and having an accident with workday loss. In this study, work-related accidents between 2014 and 2019 in underground hard coal mines in Turkey were analyzed using logistic regression analysis. An equation is derived that estimates the workday loss with the characteristics of workers in hard coal mines. With the equation derived in this study, employers can determine the potential for work accidents according to the demographic characteristics of the workers and serious work accidents will be prevented. Therefore, proactive solutions can be produced by applying the methods used in this study to different industries
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Determination and Geostatistical Analysis of Traffic Accident Hotspots in Konya City
No full textTraffic safety and the prevention of traffic accidents have emerged as a serious public health and urban planning problem worldwide. The complexity of traffic systems necessitates a multi-layered safety approach that requires the integration of human, infrastructure, vehicle and environmental factors. Detailed analysis of traffic accidents is of great importance as it directly contributes to improving road safety, reducing fatalities and improving overall public health. Through a systematic examination of the causes and consequences of traffic accidents, policy makers and traffic safety experts can identify high-risk factors and areas that require urgent intervention. The identification of accident hotspots is known to be a guide to reduce the frequency and severity of accidents. In this study, it is aimed to analyze the traffic accidents that occurred in Konya city center between 2017 and 2023, to determine the regions where accidents are intense and to propose solutions. Spatial and temporal analyses were performed to determine the effects of the locations and times of traffic accidents. Black spots were identified using ArcGIS program and temporal and spatial analysis methods (Kernel density, Global Moran's I and Getis Ord Gi* analysis). The most dangerous hot spots (roads/intersections) in Konya were identified and evaluated in terms of road and traffic safety. In addition, the concepts and applications of intelligent transportation systems around the world, including Turkey, have been reviewed and their use to address the problem of traffic accidents and improve road safety has been reviewed. As a result, an increase in the number of black spots has been detected over the years, and it has been found that this situation is more common at feature intersections. This result shows that the reason for the increase in the number of accidents in Konya city center is due to intersection irregularities. After determining the hot spots, some of the ITS's locations in Konya were compared to the hot spots and it was observed that most of the smart cameras were implemented in the accidents hot spots junctions while almost non of the cameras were in the fatal hot spots junctions. The most dangerous hot spots with the highest density of accidents' junctions were signalized junctions. Some of the non-signalized junctions were observed to be in junctions with high density of accidents while most of the signalized junctions were not. This research contributes to the identification and understanding of the factors affecting traffic accidents. Thus, it proposes solutions to improve traffic safety performance on roads. By bringing together innovative and sustainable approaches, the study aims to contribute to the smart and sustainable solution of these problems in line with the region's future vision of intelligent traffic systems and road safety.Trafik güvenliği ve trafik kazalarının önlenmesi, dünyada ciddi bir halk sağlığı ve şehircilik problemi olarak öne çıkmaktadır. Trafik sistemlerinin içerdiği kompleks yapı, insan, altyapı, araç ve çevresel faktörlerin entegrasyonu gerektiren çok yönlü bir güvenlik sağlama zorunluluğunu beraberinde getirmektedir. Trafik kazalarının detaylı analizi, yol güvenliğinin geliştirilmesine, ölüm oranlarının düşürülmesine ve genel halk sağlığının iyileştirilmesine doğrudan katkı sağlaması bakımından büyük önem arz etmektedir. Trafik kazalarının sebeplerinin ve sonuçlarının sistematik incelenmesi sayesinde, politika belirleyiciler ve trafik güvenliği uzmanları, acil müdahaleyi gerektiren yüksek riskli faktörleri ve bölgeleri tespit edebilmektedirler. Kazaların yoğunlukla meydana geldiği noktaların belirlenmesinin, kazaların frekansını ve şiddetini azaltma konusunda rehber olduğu bilinmektedir. Bu çalışmada, 2017-2023 yılları arasında Konya şehir merkezinde meydana gelen trafik kazaları analiz edilerek, kazaların yoğun olduğu bölgelerin belirlenmesi ve çözüm önerileri getirilmesi amaçlanmıştır. Trafik kazalarının gerçekleştiği konumlar ve zamanların etkilerini belirlemek için mekânsal ve zamansal analizler gerçekleştirilmiştir. ArcGIS yazılımı ile zamansal ve mekânsal analiz metotları (Çekirdek yoğunluğu, Global Moran's I ve Getis Ord Gi* analizi) kullanılarak kara noktalar belirlenmiştir. Konya'daki en tehlikeli kara noktalar (yollar/kavşaklar) belirlenerek yol ve trafik güvenliği açısında değerlendirilmiştir. Ayrıca, Türkiye dâhil olmak üzere dünya genelinde Akıllı Ulaşım Sistemleri (AUS), kavramlar ve uygulamaları incelenmiş, trafik kazası sorununu ele almak ve yol güvenliğini artırmak için bu sistemlerin kullanımı gözden geçirilmiştir. Sonuç olarak, Konya'da yıllar itibariye kara nokta sayılarında artış tespit edilmiş olup, özellikler kavşaklarda bu durumun daha fazla olduğu tespit edilmiştir. Bu sonuç göstertiyor ki, Konya şehir merkezindeki kaza sayılarındaki artışın nedeni kavşak düzensizliğine bağlı olarak gerçekleşmektedir. Konya'daki trafik kazalarının yoğun olduğu kara noktalar belirlendikten sonra, bu noktalar ile Akıllı Ulaşım Sistemleri'nin kurulu olduğu yerler karşılaştırılmıştır. Akıllı kameraların çoğu, yaralanmalı kazaların gerçekleştiği kavşaklarda bulunmasına rağmen, ölümcül kazaların yoğun olduğu kavşaklarda neredeyse hiç kamera kullanılmadığı tespit edilmiştir. En fazla kaza yoğunluğu sahip olan kavşaklarda sinyalize kavşaklar kurulduğu tespit edilmiştir. Ayrıca, sinyalize olmayan kavşakların bir kısmının yüksek kaza yoğunluğuna sahip olduğu, buna karşın sinyalize kavşakların çoğunda kaza yoğunluğunun düşük olduğu görülmüştür. Bu araştırma, trafik kazalarını etkileyen faktörlerin tanımlanmasına ve anlaşılmasına katkıda bulunmaktadır. Böylece, yollarda trafik güvenliği performansının iyileştirilmesine yönelik çözümler önermektedir. Çalışma, yenilikçi ve sürdürülebilir yaklaşımları bir araya getirerek bölgenin AUS ve yol güvenliğinin gelecek vizyonu doğrultusunda bu sorunların akıllı ve sürdürülebilir çözümüne katkıda bulunmayı hedeflemektedir
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Estimating the possibility of workday loss accidents in road construction
Get PDFOpasnosti na radnom mjestu i nesreće na radu u cestogradnji predstavljaju značajne rizike za sigurnost i produktivnost radnika te zahtijevaju sveobuhvatno razumijevanje uzroka koji utječu na gubitak radnih dana. Cilj ovog istraživanja je odrediti vjerojatnost gubitka radnih dana zbog nesreća na radu koje se događaju radnicima u cestogradnji na temelju individualnih karakteristika i zaštite na radu. U analizi podataka primjenjene su statističke analize jedne varijable, unakrsne analize tablica i binarna logistička regresija. Binarna logistička regresijska analiza provedena je na temelju podatka o 5519 nesreća na radu u cestogradnji između 2013. i 2016. godine. Nezavisne varijable odnose se na dob radnika, spol, bračni status, obuku iz područja zaštite na radu (engl. occupational health and safety - OHS), iskustvo, obrazovanje, zanimanje, godišnje doba, lokaciju nesreće i uzrok koji je prouzročio nesreću. Pomoću j predloženog modela je vjerojatnost gubitka radnog dana na temelju iskustva radnika, obrazovanja u području zaštite na radu, godišnjeg doba, lokacije i materijala. Istraživanje pokazuje primjenjivost analize logaritamska regresije u određivanju vjerojatnosti gubitka radnog dana zbog nesreća na radu. Takav pristup može se koristiti u različitim sektorima, jer doprinosi smanjenju nesreća na radu i povezanih troškova zbog gubitka radnih dana, a promovira zdravlje i sigurnost radnika i politike održive gradnje.Worksite hazards and occupational accidents in road construction pose significant risks to worker safety and productivity, necessitating a comprehensive understanding of the factors contributing to workday loss. This study aimed to determine the probability of workday loss owing to occupational accidents among road workers based on individual and occupational characteristics. Univariate statistical analysis, cross-tabulation, and binary logistic regression were used for data analysis. A binary logistic regression analysis was conducted using data from 5,519 occupational accidents during road construction between 2013 and 2016. The independent variables included the workers’ age, sex, marital status, occupational health and safety (OHS) training, experience, education, occupation, accident season, accident location, and material causing the accident. An equation was derived to estimate the probability of workday loss given a worker’s experience, OHS education, season, location, and the material involved. In conclusion, this study demonstrated the applicability of logistic regression analysis in determining the probability of workday loss owing to occupational accidents. This approach can be used across different sectors, reducing workday loss accidents and associated costs while promoting worker health and sustainable production policies
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