A short scale of traffic climate across five countries

Üzümcüoğlu Zihni, Yeşim
Ersan, Özlem
Kaçan, Bilgesu
Solmazer, Gaye
Azık, Derya
Fındık, Gizem
Özkan, Türker
Lajunen, Tımo Juhanı
Öz, Bahar
Pashkevich, Anton
Pashkevich, Maria
Danellımylona, Vassiliki
Georgogıannı, Dimitra
Berısha Krasnıqı, Ema
Krasnıqı, Muhamed
Makrıs, Evangelos
Shubenkova, Ksenia
Xheladını, Gentiane
The Traffic Climate Scale (TCS) measures the perceptions and attitudes of road users about the given traffic context with three dimensions: external affective demands, functionality, and internal requirements. The TCS was developed in Turkish and then translated into several languages. The main aim of the current study was to develop a shorter version of the TCS and to test the factor structures cross-culturally (i.e. Estonia, Greece, Kosovo, Russia, and Turkey). In addition, the five countries were compared in terms of their perceived traffic climate. Confirmatory factor analysis was used to test the fit of the models. The results yielded two different Mini-TCS versions that were developed based on the previous longer versions. The two Mini-TCS versions included 22 items and 16 items respectively. The goodness of fit findings showed that both versions of the Mini-TCS are useful short measures of the TCS in Estonia, Greece, Kosovo, Russia and Turkey. The comparison analyses showed that five countries had both similarities and differences in terms of their traffic climate. To illustrate, Turkey, Greece, and Kosovo had the highest scores in external affective demands and internal requirements dimensions; whereas Kosovo, Russia, and Estonia had the highest scores in functionality dimension in both long and short versions. The findings suggested that both versions of Mini-TCS are effective tools that can be used to understand how road users conceptualize traffic context in these five countries.
Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi


Characteristics of cloverleaf interchange in Turkey
Yalçın, Esra Gözde; Tüydeş Yaman, Hediye; Department of Civil Engineering (2018)
Level of Service (LOS) is a qualitative key attribute for monitoring traffic performance of road infrastructure. As interchanges are major but rather limited designs in road networks, providing uninterrupted flow with high capacities, there is a no LOS concept developed for them. However, data collection capability via Bluetooth (BT) readers located at interchange approaches make it possible to collect continuous speed and travel time data for all possible movements, which can lead to a measure for LOS for ...
Traffic climate, driver behaviour, and accidents involvement in China
Chu, Wenhui; Wu, Chaozhong; Atombo, Charles; Zhang, Hui; Özkan, Türker (2019-01-01)
Traffic Climate Scale (TCS) and Positive Driver Behaviours Scale (PDBS) are new measurement tools. The study aims to translate the TCS and PDBS into Chinese and to assess their factor structures in a large sample of licensed motor vehicle drivers in China. A further aim is to investigate the effects of TCS factors on drivers' behaviours and traffic accidents involvement. Data were collected using an online survey. Participants were 887 fully licensed motor vehicle drivers, including 531 males and 356 female...
Türkiye'de denetleme cezalar ve trafik güvenliği göstergeleri arasındaki ilişkiler 2008 2012 yılları analizi
Sümer, Nebi; Kaygısız, Ömür (2015-01-01)
Detection of urban traffic patterns from Floating Car Data (FCD)
ALTINTAŞI, ORUÇ; Tüydeş Yaman, Hediye; Tuncay, Kağan (Elsevier BV; 2016-09-07)
Real time data collection in traffic engineering is crucial for better traffic corridor control and management. In the literature, many data collection methods have been used such as; magnetic loops, road tube counters, piezo sensors, radars, Bluetooth etc. to estimate the link occupancy, average speed or density of a corridor. More recently, Floating Car Data (FCD) has become another important traffic data source and has an increasing usage due to its lower cost and higher coverage despite its reliability ...
Detecting queue length on urban arterials using floating car data (FCD)
Altıntaşı, Oruç; Tüydeş Yaman, Hediye; Tuncay, Kağan; Department of Civil Engineering (2018)
Accurate estimation of queue lengths whether in the approach of a signalized intersection or near a bottleneck location along an uninterrupted urban arterial is essential for better traffic management. This requires reliable traffic data, which is traditionally obtained from loop detectors, video cameras, etc. More recently, Floating Car Data (FCD) is being increasingly used as an alternative traffic data source due to its lower cost and high coverage area. Commercially available FCD is obtained from GPS eq...
Citation Formats
Y. Üzümcüoğlu Zihni et al., “A short scale of traffic climate across five countries,” Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, pp. 673–702, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72913.