Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming

To ensure the equity of exclusive bus lane (EBL) allocation under multimodal traffic conditions, a bi-level programming model is first constructed. The upper-level model is the minimum total system cost considering the Gini coefficient and the lower-level model constructed a stochastic user equilibr...

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Main Authors: Lu, Xiaojuan, Wang, Jianjun, Yuen, Choon Wah, Zheng, Shiyu
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Published: MDPI 2023
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Online Access:http://eprints.um.edu.my/38714/
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spelling my.um.eprints.387142023-11-14T07:40:44Z http://eprints.um.edu.my/38714/ Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming Lu, Xiaojuan Wang, Jianjun Yuen, Choon Wah Zheng, Shiyu HE Transportation and Communications To ensure the equity of exclusive bus lane (EBL) allocation under multimodal traffic conditions, a bi-level programming model is first constructed. The upper-level model is the minimum total system cost considering the Gini coefficient and the lower-level model constructed a stochastic user equilibrium (SUE) model based on logit loading. Secondly, a heuristic algorithm combining an improved genetic algorithm (GA) and a method of the successive average method (MSA) is designed. Finally, the Nguyen and Dupuis networks are used as examples to verify and analyze the effectiveness, superiority and sensitivity of the model and algorithm. The results show that the method can effectively obtain the optimal solution of the upper-level model as 15,004 RMB, the Gini coefficient is 0.31, and the equity is at a relatively reasonable level. Compared with the different allocation schemes, the proposed scheme has a higher bus sharing rate and lower Gini coefficient. At the same time, when the actual demand is twice the basic demand, the bus share rate is the largest, 65%, and the Gini coefficient is the smallest at 0.3. The bus share rate decreases with the increase in the proportion of high time value travelers, which fully verifies the sensitivity of the model to the type of traveler. MDPI 2023-02 Article PeerReviewed Lu, Xiaojuan and Wang, Jianjun and Yuen, Choon Wah and Zheng, Shiyu (2023) Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming. Applied Sciences-Basel, 13 (4). ISSN 2076-3417, DOI https://doi.org/10.3390/app13042047 <https://doi.org/10.3390/app13042047>. 10.3390/app13042047
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic HE Transportation and Communications
spellingShingle HE Transportation and Communications
Lu, Xiaojuan
Wang, Jianjun
Yuen, Choon Wah
Zheng, Shiyu
Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
description To ensure the equity of exclusive bus lane (EBL) allocation under multimodal traffic conditions, a bi-level programming model is first constructed. The upper-level model is the minimum total system cost considering the Gini coefficient and the lower-level model constructed a stochastic user equilibrium (SUE) model based on logit loading. Secondly, a heuristic algorithm combining an improved genetic algorithm (GA) and a method of the successive average method (MSA) is designed. Finally, the Nguyen and Dupuis networks are used as examples to verify and analyze the effectiveness, superiority and sensitivity of the model and algorithm. The results show that the method can effectively obtain the optimal solution of the upper-level model as 15,004 RMB, the Gini coefficient is 0.31, and the equity is at a relatively reasonable level. Compared with the different allocation schemes, the proposed scheme has a higher bus sharing rate and lower Gini coefficient. At the same time, when the actual demand is twice the basic demand, the bus share rate is the largest, 65%, and the Gini coefficient is the smallest at 0.3. The bus share rate decreases with the increase in the proportion of high time value travelers, which fully verifies the sensitivity of the model to the type of traveler.
format Article
author Lu, Xiaojuan
Wang, Jianjun
Yuen, Choon Wah
Zheng, Shiyu
author_facet Lu, Xiaojuan
Wang, Jianjun
Yuen, Choon Wah
Zheng, Shiyu
author_sort Lu, Xiaojuan
title Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
title_short Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
title_full Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
title_fullStr Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
title_full_unstemmed Exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
title_sort exclusive bus lane allocation considering multimodal traffic equity based on bi-level programming
publisher MDPI
publishDate 2023
url http://eprints.um.edu.my/38714/
_version_ 1783876671485509632
score 13.154949