Optimization of Evaluation Indicators for Driver’s Traffic Literacy: An Improved Principal Component Analysis Method

Chen, Zhuo; Tian, Kang

doi:10.1177/21582440221105262

Cited by 5 publications

(3 citation statements)

References 67 publications

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“…In the context of this study, traffic safety literacy refers to cyclists' knowledge of traffic rules and their perception of risks. Chen et al (2022) [17] highlight the significance of enhancing literacy to address traffic issues and note that much of the research on traffic literacy primarily investigates factors influencing traffic accidents and safety. For instance, in a recent study by Useche et al (2023) [18], which compared the behavior and safety aspects of cyclists across urban environments of varying sizes, it was discovered that city size positively correlated with instances of traffic violations, cycling errors, and cycling crashes.…”

Section: Cycling Safety-related Discouragers Challenges and Behaviora...mentioning

confidence: 99%

Exploring Cyclists Behavior, Traffic Safety Literacy, and Crash Occurrence in Latvia

Volgemute,

Vazne,

Useche

2024

Preprint

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While the role of safe riding behavior as a safety contributor for cyclists has been increasingly studied in recent years, there have been few studies analysing cycling behavior in relation to crash-related outcomes in Baltic countries. Indeed, to the best of our knowledge, this is the first time this issue has been addressed in the case of Latvia. Aim: The objective of this study was to assess the relationships among self-repotted cyclists’ behavior, traffic safety literacy, and their cycling crash involvement rates. Method: A total of 299 cyclists aged M=32.8 from across Latvia (42% females) participated in an online survey, which comprised questions regarding respondents’ demographics, frequency of riding, and the number of crashes in the past five years. The Cycling Behavior Questionnaire (CBQ) and the Cyclist Risk Perception and Regulation Scale (RPRS) were applied to assess cyclists' behavior patterns and traffic safety literacy. Results: According to the findings, it can be inferred that cyclists frequently engage in riding errors and traffic violations while cycling. Those who exhibit more antisocial behavior patterns are also more likely to be involved in road crashes. Conversely, cyclists with greater positive behavior rates more often also tend to possess better knowledge of traffic rules and exhibit a heightened risk perception, indicating a greater awareness of road traffic safety. Conclusion: All in sum, this study underscores key age differences, with older individuals significantly less involved in riding crashes, exhibiting fewer driving errors and a higher level of risk perception, which serves as a crucial factor in road safety. At the practical level, these results stress the need to address both traffic safety literacy and protective cycling factors of cyclists, in a manner to improve overall road safety and promote active transport modes in Latvia.

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Section: Cycling Safety-related Discouragers Challenges and Behaviora...mentioning

confidence: 99%

Exploring Cyclists Behavior, Traffic Safety Literacy, and Crash Occurrence in Latvia

Volgemute,

Vazne,

Useche

2024

Preprint

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“…Finally, a total of 526 questionnaires were recovered, a total of 82 complete questionnaires were eliminated (if the answering time does not exceed 120 s, and more than 80% of the answers are all options in a particular order), and a total of 444 valid questionnaires were obtained, with an effective rate of 84.41%. Studies have shown that when the sample size is about 300, an agreement of greater than 0.9 of the sample loading relative to the population loading can be obtained, an accepted value used in behavioral science to establish equivalence between two groups of loadings [50,51]. The individual statistical characteristics of the sample are shown in Table 2.…”

Section: Data Sources and Testsmentioning

confidence: 99%

Prediction of Consumers’ Adoption Behavior of Products with Water Efficiency Labeling Based on Hidden Markov Model

Wang,

Wang

et al. 2023

Water

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Water efficiency labeling, an environmental protection label, can provide consumers with products’ water-saving information, guide consumers to choose high-efficiency water-saving products, and encourage residents to save water. Data were obtained from a questionnaire survey among 526 respondents in Zhengzhou, China. The study constructed a Hidden Markov Model (HMM) to predict consumers’ adoption behavior of products with water efficiency labeling. The adoption probability of consumers at different perceptions and water-saving awareness for products with water efficiency labeling and the state transition probability of consumers’ adoption behavior of products with water efficiency labeling were calculated. Consumers’ adoption behavior of products with water efficiency labeling in different situations is predicted. The research found: (1) When the degree of perception remains unchanged, the improvement of consumers’ water-saving awareness will promote their adoption of products with water efficiency labeling and increase the probability of continuous adoption behavior. (2) The state of consumers’ adoption behavior depends on the last adoption behavior. Furthermore, as the state level increases, the dependency on adoption behavior becomes more vigorous. (3) HMM is suitable for predicting consumers’ adoption behavior of products with water efficiency labeling and has high accuracy. The research findings can provide a theoretical basis and decision-making reference for the government and enterprises to formulate relevant guiding policies and promotion strategies.

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“…However, the dimension of data is too large to have a certain impact on the prediction effect of SVM. Therefore, PCA method is adopted to reduce data redundancy and reduce the complexity of the problem [20][21][22] . It is a linear dimensionality reduction algorithm with practical significance, which can perform orthogonal transformation on high-dimensional data.…”

Section: A Treatment Of Factors Affecting Port Petrochemical Product ...mentioning

confidence: 99%

Simulation Method of Port Petrochemical Industry Throughput Development under the Background of Integration of Port, Industry and City

Zhou¹,

Chen²

2023

IJACSA

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In order to accurately predict the changes in the throughput of port petrochemical products and facilitate the formulation of relative decisions, this paper analyzes the factors affecting the throughput of port petrochemical products in a city through the GRA method. After sorting and selection, PCA method is used for pretreatment. In the SVM algorithm, ICSO is used to obtain the best parameters and improve the prediction accuracy and efficiency. In view of the variability of future development, three development scenarios are set up to prepare for the throughput forecast of petrochemical products in a city's port. The results show that the optimization speed of ICSO algorithm is very fast. When the training iteration is 20, the best fitness value is obtained, which is 0.0572. The training effect of ICSO-SVM algorithm is good, the gap between it and the original data is small, and the overall trend is close to the original data. In the test prediction, ICSO-SVM algorithm has the best prediction effect, and its MAE, RMSE and MAPE are the smallest. The minimum MAE is 762.2, 477.0 smaller than CSO-SVM algorithm, and the latter's MAE is 1239.2. The minimum MAPE of the proposed algorithm is 1.05%, while that of CSO-SVM algorithm is 1.71%. In general, the prediction error of ICSO-SVM algorithm is smaller. After the prediction of different development scenarios, the throughput of petrochemical products in a port of a city shows an increasing trend in the next five years. This method can be applied to the development forecast of port petrochemical products and provide reference for decision-making.

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Optimization of Evaluation Indicators for Driver’s Traffic Literacy: An Improved Principal Component Analysis Method

Cited by 5 publications

References 67 publications

Exploring Cyclists Behavior, Traffic Safety Literacy, and Crash Occurrence in Latvia

Exploring Cyclists Behavior, Traffic Safety Literacy, and Crash Occurrence in Latvia

Prediction of Consumers’ Adoption Behavior of Products with Water Efficiency Labeling Based on Hidden Markov Model

Simulation Method of Port Petrochemical Industry Throughput Development under the Background of Integration of Port, Industry and City

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