The staggering policy research in morning commute considering the travel mode of household travelers

HE Dongdong, ZHONG Qiuyan, QU Yi, LIN Zhengkui

Systems Engineering - Theory & Practice ›› 2022, Vol. 42 ›› Issue (10) : 2782-2796.

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Systems Engineering - Theory & Practice ›› 2022, Vol. 42 ›› Issue (10) : 2782-2796. DOI: 10.12011/SETP2021-0402

The staggering policy research in morning commute considering the travel mode of household travelers

  • HE Dongdong1, ZHONG Qiuyan1, QU Yi2, LIN Zhengkui2
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Abstract

During the morning commute, the uncertainty of the travel mode choice of households increases the difficulty of formulating the staggering policy. Taking households as the research object, the travel cost model is constructed with the aim of minimizing the household travel cost by introducing the staggering policy and ridesharing coefficient. Based on the single-bottleneck network, a bi-level model considering the household travel mode and staggering policy is proposed. The results show that when the ridesharing coefficient is small, the staggering policy is not effective to reduce the travel cost of the household and the total system cost by changing the travel mode. When the ridesharing coefficient is large, the reduction rate of total system cost rises with the increasing ridesharing coefficient. Properly design of the staggering policy can effectively change the household travel mode and significantly reduce the travel cost of the household. Finally, the thresholds of the optimal staggering strategies under different scenarios are given, and the validity of the conclusions is verified by numerical examples, which can assist the decision-making of traffic congestion alleviation in morning commute.

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household travel / staggering policy / ridesharing behavior / morning commute

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HE Dongdong , ZHONG Qiuyan , QU Yi , LIN Zhengkui. The staggering policy research in morning commute considering the travel mode of household travelers. Systems Engineering - Theory & Practice, 2022, 42(10): 2782-2796 https://doi.org/10.12011/SETP2021-0402

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Funding

Key Program of National Natural Science Foundation of China (71533001);China Postdoctoral Science Foundation (2019M651099)
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