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Finding effective parameters for mitigating traffic congestion near universities

机译:Finding effective parameters for mitigating traffic congestion near universities

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摘要

This paper intends to assess the effect of different parameters on traffic congestion around universities. On the basisof the model outputs, it is possible to propose economic countermeasures for reducing traffic congestion, especiallyin developing countries. Structural equation modelling was used to assess the relevance between characteristics ofstudents, features of different modes, environmental conditions and daily demand variations with traffic congestion.The Shahid Bahonar University of Kerman in Iran was considered as a case study. The results showed that it isnecessary to decrease the demand first. For this purpose, rescheduling courses is essential to distribute classes moreeffectively within a week. Virtual classes can be used more frequently as a substitute for traditional on-campuscourses. The probability of using buses should be increased by reducing waiting time and fares, and promoting theirsafety. Similarly, taxi use can be increased by improving safety and waiting time. To reduce the likelihood of usingprivate cars, pricing strategies must establish more limitations for using university carparks.

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