Traffic climate, driver behaviour, and accidents involvement in China

Chu, Wenhui; Wu, Chaozhong; Atombo, Charles; Zhang, Hui; Özkan, Türker

doi:10.1016/j.aap.2018.09.007

Cited by 71 publications

(40 citation statements)

References 20 publications

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“…Related work tells us that Chinese consumers set a higher value on appearances at first impressions, they value family time, and rather withhold their emotions to seem positive, while Germans appreciate sheer functionality and aim for personal satisfaction and individual solutions [28]. They also differ in terms of emotional engagement, driving skills, and traffic perception [8], which is of course also contingent on the different traffic rules in place, such as the right of way, speed limits, or the severity of penalties [29,50]. Chinese drivers also show different driving preferences, styles and behaviors from the German, e.g., a faster flow with greater density of information [18] and a lower level of driving anger [30].…”

Section: Cultural Influences On Interactionmentioning

confidence: 99%

What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces

Braun

Weber

et al. 2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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In this paper we present use cases for affective user interfaces (UIs) in cars and how they are perceived by potential users in China and Germany. Emotion-aware interaction is enabled by the improvement of ubiquitous sensing methods and provides potential benefits for both traffic safety and personal well-being. To promote the adoption of affective interaction at an international scale, we developed 20 mobile in-car use cases through an inter-cultural design approach and evaluated them with 65 drivers in Germany and China. Our data shows perceived benefits in specific areas of pragmatic quality as well as cultural differences, especially for socially interactive use cases. We also discuss general implications for future affective automotive UI. Our results provide a perspective on cultural peculiarities and a concrete starting point for practitioners and researchers working on emotion-aware interfaces. CCS CONCEPTS • Human-centered computing → User studies; Empirical studies in HCI.

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Section: Cultural Influences On Interactionmentioning

confidence: 99%

What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces

Braun

Weber

et al. 2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

View full text Add to dashboard Cite

show abstract

“…So to minimize accidents, it takes an optimal and linear break with the duration of driving. According to Chu et al (2019), it can be seen that internal and external factors can affect the performance of workers and sometimes these factors are responsible for the occurrence of human error. Internal factors can be a lack of training, experience, and high levels of fatigue.…”

Section: (H)mentioning

confidence: 99%

“…Traffic accidents can occur due to several factors. According to Chu et al, (2019), the accident caused by human factors due to driver behavior, fatigue, and so forth. Factors causing traffic accidents in Indonesia amounted to 69.70% were human factors, vehicle factors by 21.21%, and infrastructure factors by 9.09% (KNKT, 2016).…”

Section: Introductionmentioning

confidence: 99%

Human Error Identification in Bus Driver Work Using Sherpa and Heart

Susilo¹

2020

JIEM

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Traffic accidents, especially with a large capacity such as bus, can be caused by several factors. According to the Indonesian Directorate General of Land Transportation of the Ministry of Transportation in 2012, the factors causing traffic accidents in Indonesia are a human factor of 93.52%, vehicle factor by 2.76%, road factor 3.23%, and environmental factor by 0.49%. Therefore, research is needed to identify which human error has the greatest probability of accident cause using Systematic Human Error Reduction and Prediction Approach (SHERPA) method to identify job desk using Hierarchical Task Analysis (HTA) and Human Error Assessment Reduction Technique (HEART) method to calculate Human Error Probability (HEP). Based on the calculation of Human Error Probability value known the highest HEP value is not running the vehicle in accordance with the provisions of the speed that has been set with 0.375. Next is not to record or forget to record the damage that occurred during the trip with a value of 0.21. It did not check Bus equipment with a HEP value of 0.19, did not report when there was a problem on the street with a HEP value of 0.18 and did not break for the next preparation for departure with a HEP value of 0.15

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“…Some studies have examined the impact of weather factors on traffic accidents [11][12][13][14][15][16][17][18][19], but there are few studies focused on the impact of climate factors on fatal traffic accidents from the macro perspective. Climate change can influence road environment and driving behaviour, which in turn affect the risk of road traffic accidents [20][21][22][23]. The climatic factors affecting the traffic accident include temperature, precipitation and wind.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents

2021

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Climate change and the extreme weather have a negative impact on road traffic safety, resulting in severe road traffic accidents. In this study, a negative binomial model and a log-change model are proposed to analyse the impact of various factors on fatal traffic accidents. The dataset used in this study includes the fatal traffic accident frequency, social development indicators and climate indicators in California and Arizona. The results show that both models can provide accurate fitting results. Climate variables (i.e., average temperature and standard precipitation 24) can significantly affect the frequency of fatal traffic accidents. Non-climate variables (i.e., beer consumption, rural Vehicle miles travelled ratio, and vehicle performance) also have a significant impact. The modelling results can provide decision-making guidelines for the transportation management agencies to improve road traffic safety.

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Traffic climate, driver behaviour, and accidents involvement in China

Cited by 71 publications

References 20 publications

What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces

What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces

Human Error Identification in Bus Driver Work Using Sherpa and Heart

Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents

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