Trip Assignment Modelling for an Indian City to Assess the Benefits of Proposing Ring Roads
Abstract:Travel demand models are tools used to estimate the travel behaviour of a population. It is used to overcome the previous inefficiencies of the existing transport systems and to produce new transportation facility. This study aimed to develop trip assignment model for Thrissur, an Indian city to assess the benefits of proposing ring roads. Thrissur is struggling to incorporate the increased number of vehicles due to lack of adequate infrastructure and better traffic management programmes. The trip assignment m… Show more
“…This is clearly reflected in Table 3 in the case of cars and the large number of HGVs that use ring roads to access large facilities normally located at a distance from the urban core, before transportation switches to smaller vehicles in inner city roads ( 73 ). Therefore, the importance of ring roads cannot be overstated considering the increased capacity and the capability to reduce traffic congestion ( 74 , 75 ), although transport planners should be aware of major concerns related to the functionality and limitations of ring roads. Ring roads encourage the use of private vehicles, which in turn, can result in extensive urban sprawl ( 76 ) and increased levels of air pollution ( 77 , 78 ).…”
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.
“…This is clearly reflected in Table 3 in the case of cars and the large number of HGVs that use ring roads to access large facilities normally located at a distance from the urban core, before transportation switches to smaller vehicles in inner city roads ( 73 ). Therefore, the importance of ring roads cannot be overstated considering the increased capacity and the capability to reduce traffic congestion ( 74 , 75 ), although transport planners should be aware of major concerns related to the functionality and limitations of ring roads. Ring roads encourage the use of private vehicles, which in turn, can result in extensive urban sprawl ( 76 ) and increased levels of air pollution ( 77 , 78 ).…”
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.
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