Academic Journal

Factors Affecting Road Traffic: Identifying Drivers of Annual Average Daily Traffic Using Least Absolute Shrinkage and Selection Operator Regression

التفاصيل البيبلوغرافية
العنوان: Factors Affecting Road Traffic: Identifying Drivers of Annual Average Daily Traffic Using Least Absolute Shrinkage and Selection Operator Regression
المؤلفون: Sfyridis, Alexandros, Agnolucci, Paolo
المصدر: Transportation Research Record (2022) (In press).
بيانات النشر: National Academy of Sciences
سنة النشر: 2022
المجموعة: University College London: UCL Discovery
مصطلحات موضوعية: Annual Average Daily Traffic (AADT), COUNTS, DEMAND, EMISSIONS, Engineering, Civil, K-FOLD, Least Absolute Shrinkage and Selection Operator (LASSO), MODELS, PREDICTION, road traffic, Science & Technology, SPATIAL INTERPOLATION, Technology, transport, Transportation, Transportation Science & Technology, TRAVEL BEHAVIOR, VOLUME
الوصف: Road traffic data is important for various applications in transport studies, such as those related to safety, environmental damages, and economic evaluations. Although significant improvement in estimation accuracy has been achieved, less is known about the association of specific factors with road traffic volumes. This paper presents an investigation of the relation of various road, area, and socioeconomic characteristics with annual average daily traffic in England and Wales for four different road classes and five vehicle types. This is achieved by applying least absolute shrinkage and selection operator regression on a comprehensive set of land use, socioeconomic, public transport, and roadway variables. The output reveals that specific socioeconomic and roadway characteristics are those that are mainly associated with traffic volumes across all vehicle types and road classes. Moreover, the association of other variables with traffic volume varies, depending on the road class and vehicle type, creating space for future research. The results can support urban planning and inform policies related to transport congestion and environmental impact mitigation.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://discovery.ucl.ac.uk/id/eprint/10164691/1/Manuscript_Final.pdf; https://discovery.ucl.ac.uk/id/eprint/10164691/
الاتاحة: https://discovery.ucl.ac.uk/id/eprint/10164691/1/Manuscript_Final.pdf
https://discovery.ucl.ac.uk/id/eprint/10164691/
Rights: open
رقم الانضمام: edsbas.37EBF194
قاعدة البيانات: BASE