Multisource Data-Driven Evaluation Framework to Assess the Performance of Dedicated Bus Lanes: A Case Study in Chongqing Metropolitan, China
Publication: Journal of Urban Planning and Development
Volume 149, Issue 4
Abstract
Dedicated bus lane (DBL) is one of the effective measures to improve transit system efficiency and further promote transit priority. Then, the performance assessment of DBLs turns out to be an essential task for better reflecting the interests of all stakeholders. To this end, this paper presents a data-driven and multidimensional framework to objectively and accurately assess the detailed performance of DBLs from the perspective of passengers, government, and operators, respectively, in which multiple data sources (i.e., IC card and GPS data) and corresponding mining technologies are adopted to establish a series of criteria, enabling a before-and-after comparison for DBL opening. The proposed model has been applied to evaluate the efficiency of the DBL system in the city of Chongqing, China. The results reveal the benefits of opening DBLs, especially for government interests, in which DBLs use less public resources to expand more public welfare. But its role in strengthening transit system competitiveness is diminished, because the opening of DBLs did not significantly increase speed and volume.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by Fundamental Research Funds for the Central Universities (3132022184, 3132022642) and Research Project of Chongqing Transportation Bureau (Grant Number 2021-13).
References
Anikin, N., I. Goryachkina, A. Erokhin, A. Krasnikov, and N. Morozova. 2022. “Introduction of dedicated lanes in the city of Ryazan, Russia: Advantages and disadvantages.” Transp. Res. Procedia 63 (2022): 2614–2620. https://doi.org/10.1016/j.trpro.2022.06.301.
Arasan, V. T., and P. Vedagiri. 2010. “Microsimulation study of the effect of exclusive bus lanes on heterogeneous traffic flow.” J. City Plann. Div. 136 (1): 50–58. https://doi.org/10.1061/(ASCE)0733-9488(2010)136:1(50).
Basso, L. J., and H. E. Silva. 2014. “Efficiency and substitutability of transit subsidies and other urban transport policies.” Am. Econ. J.-Econ. Policy 6 (4): 1–33. https://doi.org/10.1257/pol.6.4.1.
Ben-Dor, G., E. Ben-Elia, and I. Benenson. 2018. “Assessing the impacts of dedicated bus lanes on urban traffic congestion and modal split with an agent-based model.” Procedia Comput. Sci. 130 (2018): 824–829. https://doi.org/10.1016/j.procs.2018.04.071.
Chen, X., L. Yu, L. Zhu, J. Guo, and M. Sun. 2010. “Microscopic traffic simulation approach to the capacity impact analysis of weaving sections for the exclusive bus lanes on an urban expressway.” Transp. Eng. J. ASCE 136 (10): 895–902. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000155.
Chen, Y., G. Chen, and K. Wu. 2016. “Evaluation of performance of bus lanes on urban expressway using paramics micro-simulation model.” Procedia Eng. 137 (2016): 523–530. https://doi.org/10.1016/j.proeng.2016.01.288.
Cortes, C. E., J. Gibson, A. Gschwender, M. Munizaga, and M. Zufiiga. 2011. “Commercial bus speed diagnosis based on GPS-monitored data.” Transp. Res. Part C Emerging Technol. 19 (4): 695–707.
Dahlgren, J. 1998. “High occupancy vehicle lanes: Not always more effective than general purpose lanes.” Transp. Res. Part A Policy Pract. 32 (2): 99–114. https://doi.org/10.1016/S0965-8564(97)00021-9.
He, S. X., J. Dong, S. D. Liang, and P. C. Yuan. 2019. “An approach to improve the operational stability of a bus line by adjusting bus speeds on the dedicated bus lanes.” Transp. Res. Part C Emerging Technol. 107: 54–69. https://doi.org/10.1016/j.trc.2019.08.001.
Hussain, E., A. Bhaskar, and E. Chung. 2021a. “Transit OD matrix estimation using smartcard data: Recent developments and future research challenges.” Transp. Res. Part C Emerging Technol. 125: 103044. https://doi.org/10.1016/j.trc.2021.103044.
Hussain, E., A. Bhaskar, and E. Chung. 2021b. “A novel origin destination based transit supply index: Exploiting the opportunities with big transit data.” J. Transp. Geogr. 93: 103040. https://doi.org/10.1016/j.jtrangeo.2021.103040.
Imai, R., D. Ikeda, H. Shingai, T. Nagata, and K. Shigetaka. 2021. “Origin-destination trips generated from operational data of a mobile network for urban transportation planning.” J .Urban Plann. Dev. 147 (1): 04020049. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000635.
Khoo, H., L. Teoh, and Q. Meng. 2014. “A bi-objective optimization approach for exclusive bus lane selection and scheduling design.” Eng. Optim. 46 (7): 987–100. https://doi.org/10.1080/0305215X.2013.812728.
Khoo, H. L., and G. P. Ong. 2015. “Bi-objective optimization approach for exclusive bus lane scheduling design.” J. Comput. Civ. Eng. 29 (5): 04014056. https://doi.org/10.1080/0305215X.2013.812728.
Kusakabe, T., and Y. Asakura. 2014. “Behavioural data mining of transit smart card data: A data fusion approach.” Transp. Res. Part C Emerging Technol. 46: 179–191. https://doi.org/10.1016/j.trc.2014.05.012.
Lee, S. G., and M. Hickman. 2014. “Trip purpose inference using automated fare collection data.” Public Transp. 6: 1–20. https://doi.org/10.1007/s12469-013-0077-5.
Li, S., and Y. Ju. 2009. “Evaluation of bus-exclusive lanes.” IEEE Trans. Intell. Transp. Syst. 10 (2): 236–245. https://doi.org/10.1109/TITS.2009.2018326.
Li, X., J. Huang, Y. Guan, Y. Li, and Y. Yuan. 2022a. “Electric demand-responsive transit routing with opportunity charging strategy.” Transp. Res. D Transp. Environ. 110: 103427. https://doi.org/10.1016/j.trd.2022.103427.
Li, X., Y. Liu, D. Liu, and Z. Gao. 2016. “Multidimensional assessment of developing an urban public transit metropolis in China.” J. Urban Plann. Dev. 142 (3): 04015021. https://doi.org/04015021.10.1061/(ASCE)UP.1943-5444.0000310.
Li, X., Y. Luo, T. Wang, P. Jia, and H. Kuang. 2020. “An integrated approach for optimizing bi-modal transit networks fed by shared bikes.” Transp. Res. E Logist. Transp. Rev. 141: 102016. https://doi.org/10.1016/j.tre.2020.102016.
Li, X., T. Wang, W. Xu, H. Li, and Y. Yuan. 2022b. “A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system.” Transp. Res. E Logist. Transp. Rev. 157: 102556. https://doi.org/10.1016/j.tre.2021.102556.
Ma, W., K. L. Head, and Y. Feng. 2014. “Integrated optimization of transit priority operation at isolated intersections: A person-capacity-based approach.” Transp. Res. Part C Emerging Technol. 40: 49–62. https://doi.org/10.1016/j.trc.2013.12.011.
Ma, X., C. Liu, H. Wen, Y. Wang, and Y. J. Wu. 2017. “Understanding commuting patterns using transit smart card data.” J. Transp. Geogr. 58: 135–145. https://doi.org/10.1016/j.jtrangeo.2016.12.001.
Ma, X., Y. J. Wu, Y. Wang, F. Chen, and J. Liu. 2013. “Mining smart card data for transit riders’ travel patterns.” Transp. Res. Part C Emerging Technol. 36: 1–12. https://doi.org/10.1016/j.trc.2013.07.010.
Ma, X., X. Zhang, X. Li, X. Wang, and X. Zhao. 2019. “Impacts of free-floating bikesharing system on public transit ridership.” Transp. Res. Part D Transp. Environ. 76: 100–110. https://doi.org/10.1016/j.trd.2019.09.014.
Russo, A., M. W. Adler, and J. N. van Ommeren. 2022. “Dedicated bus lanes, bus speed and traffic congestion in Rome.” Transp. Res. Part A Policy Pract. 160: 298–310. https://doi.org/10.1016/j.tra.2022.04.001.
Safran, J. S., E. B. Beaton, and R. Thompson. 2014. “Factors contributing to bus lane obstruction and usage in New York city: Does design matter?” Transp. Res. Rec. 2418 (1): 58–65. https://doi.org/10.3141/2418.
Shalaby, A. S. 1999. “Simulating performance impacts of bus lanes and supporting measures.” J. Transp. Eng. 125 (5): 390–397. https://doi.org/10.1061/(ASCE)0733-947X(1999)125:5(390).
Truong, L., M. Sarvi, and G. Currie. 2015. “Do multiple combinations of bus lane sections create a multiplier effect? A micro-simulation approach.” In Vol. 15 of Proc., Transportation Research Board Annual Meeting. Washington, DC: The National Academies of Sciences, Engineering, and Medicine.
Tsitsokas, D., A. Kouvelas, and N. Geroliminis. 2021. “Modeling and optimization of dedicated bus lanes space allocation in large networks with dynamic congestion.” Transp. Res. Part C Emerging Technol. 127: 103082. https://doi.org/10.1016/j.trc.2021.103082.
Vest, A., P. J. McMahon, and J. Cuellar. 2018. “Developing dedicated bus lane screening criteria in Baltimore, Maryland.” Transp. Res. Rec. 2672 (8): 52–63. https://doi.org/10.1177/0361198118797827.
Wei, L., and T. Chong. 2002. “Theory and practice of bus lane operation in Kunming.” DISP 38 (151): 68–72. https://doi.org/10.1080/02513625.2002.10556825.
Xu, F., Y. Du, and L. Sun. 2013. “A framework for ongoing performance monitoring of bus lane system.” Procedia Soc. Behav. Sci. 96 (1): 175–181. https://doi.org/10.1016/j.sbspro.2013.08.023.
Yap, M., and O. Cats. 2020. “Predicting disruptions and their passenger delay impacts for public transport stops.” Transportation 48 (4): 1703–1731. https://doi.org/10.1007/s11116-020-10109-9.
Yap, M., O. Cats, and B. van Arem. 2020. “Crowding valuation in urban tram and bus transportation based on smart card data.” Transportmetrica A 16 (1): 23–42. https://doi.org/10.1080/23249935.2018.1537319.
Yu, B., L. Kong, Y. Sun, B. Yao, and Z. Gao. 2015. “A bi-level programming for bus lane network design.” Transp. Res. Part C Emerging Technol. 55: 310–327. https://doi.org/ 10.1016/j.trc.2015.02.014.
Yu, B., and X. Kun. 2009. “Discussion about evaluation method of traffic efficiency adaptability of bus lane.” IEEE 3: 566–570. https://doi.org/10.1109/ICICTA.2009.602.
Zhang, R. H., X. G. Wu, and S. P. Chen. 2011. “Public transportation trip OD matrix inference using IC card data and GPS information.” ICCTP 2011 (8): 587–597. https://doi.org/10.1061/41186(421)57.
Zhao, J., J. Yu, X. Xia, J. Ye, and Y. Yuan. 2019. “Exclusive bus lane network design: A perspective from intersection operational dynamics.” Networks Spatial Econ. 19 (4): 1143–1171. https://doi.org/10.1007/s11067-019-09448-7.
Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 149 • Issue 4 • December 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Oct 20, 2022
Accepted: Jun 12, 2023
Published online: Aug 29, 2023
Published in print: Dec 1, 2023
Discussion open until: Jan 29, 2024
ASCE Technical Topics:
- Buses
- Business management
- Case studies
- Data collection
- Engineering fundamentals
- Government
- Highway transportation
- Infrastructure
- Methodology (by type)
- Organizations
- Passengers
- Practice and Profession
- Public administration
- Public health and safety
- Public transportation
- Research methods (by type)
- Transportation engineering
- Transportation management
- Urban and regional development
- Urban areas
- Vehicles
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