Data-Driven Analysis of Fatal Urban Traffic Accident Characteristics and Safety Enhancement Research
نویسندگان
چکیده
The occurrence of fatal traffic accidents often causes serious casualties and property losses, endangering travel safety. This work uses the statistical data road in Shenzhen from 2018 to 2022 as basis determine characteristic patterns main influencing factors accidents. accident description are also analyzed using analysis method based on Term Frequency-Inverse Document Frequency (TF-IDF) mining obtain characteristics fields, objects, types. Furthermore, this conducts a kernel density combined with spatial autocorrelation hotspot areas analyze their aggregation effects. A principal component is performed calculate related subjects. Results showed that weak safety awareness motorists irregular driving operations for Finally, targeted management strategies proposed results. In current era, research results paper can be used prevention emergency formulate corresponding measures, provide theoretical decision making.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2023
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su15043259