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Activity-based trip chaining behavior analysis in the network under the parking fee scheme

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Abstract

In this paper, we incorporate activity-based trip chaining behavior into the network equilibrium analysis. An integrated model which combines Beckman-type congestion link terms and entropy-type logit demand terms is proposed to describe the traveler behavior. The convexity and equivalency conditions of the model are discussed. Based on the integrated model, a bi-level model is designed to maximize the social welfare by appropriate parking fee. Also, an expanded network is developed to eliminate the non-additivity of the utilities of activities and travelling in the original network. Then, the Simulated Annealing (SA) method is used to solve the proposed bi-level model. Numerical examples are presented to examine the model’s availability and effects of the parking fee scheme on traveler behavior and social welfare. Results show that the model is effective in describing the trip chaining behavior in the network.

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Acknowledgements

The authors would like to thank the two anonymous reviewers for the constructive comments and suggestions. This paper is partly supported by the NSFC (71621001) and the China National Funds for Distinguished Young Scientists (71525002).

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  1. Key Laboratory of Urban Transportation Complex Systems Theory and Technology of Ministry of Education, Beijing Jiaotong University, Beijing, 100044, China

    Ge Gao, Huijun Sun & Jianjun Wu

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  1. Ge Gao
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Correspondence to Huijun Sun.

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Gao, G., Sun, H. & Wu, J. Activity-based trip chaining behavior analysis in the network under the parking fee scheme. Transportation 46, 647–669 (2019). https://doi.org/10.1007/s11116-017-9809-8

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