Abstract
With the rapid urbanization, the transportation system, especially the bus system, plays an increasingly prominent role in city planning. However, the current bus evaluation model usually focuses on just one aspect either spatial or temporal. Inspired by “Pulsation Analysis”, this study presents a new approach for evaluating Service Level of Bus as well as Demand for Public Transport based on both spatial and temporal aspects of the bus trips, called “Public Transit Pulsation Analysis”. The transport pulsation assessment model which assesses the supply side and the demand of community for bus model which calculates the demand side, are combined to optimize the bus frequency settings in this approach. The proposed method is tested on a real case study in Tianjin, China, which implies its usefulness in evaluating the service level and improving the service quality of the bus system by 17.6%. As well as developing a bus frequency optimization model, this study also demonstrates its real-world application of “Pulsation Analysis” for decision-making in city planning.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Peng, L., Chi, T., Yao, X.: The Theory and Practice of Fluctuating Analysis in Smart Cities, pp. 123–135. Science Press, San Francisco (2017)
Chi, T., Peng, L., Yang, L.: Smart City Spatial Information Public Platform, pp. 123–135. Science Press, Beijing (2015)
Han, B., Nei, W., Wang, W., Wu, A.: Bi-level programming model for optimizing bus frequencies and its algorithm. J. Shenzhen Univ. Sci. Eng. 30, 98–102 (2013)
Peng, L., Li, X., Xu, Y., Chen, W., Hu, Y., Li, G., You, C.: Urban pulsation research based on spatio-temporal big data. Geomatics World 23, 5–12 (2016)
Peng, L., Chen, W., Li, G., Chi, T.: Research on the pulsating visualization of smart cities based on spatial big data. Geomatics World 23, 58–63 (2016)
Peng, L., Wu, T., Li, G., Li, X., Hu, Y., You, C.: Research on urban diseases based on the fluctuation law of multi-source spatial temporal data of SMA. Geomatics World 24, 29–35 (2017)
Xu, Y.: Research on technologies of spatio-temporal data pulsation analysis based on GIS platform. Master thesis, University of Chinese Academy of Sciences (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences) (2017)
Guo, J., Sun, M., Liu, X., An, J.: Thoughts and suggestions on prioritizing urban public transportation development in China. Urban Transp. China 11, 7–12 (2013)
Tilahun, S.L., Ong, H.C.: Bus timetabling as a fuzzy multiobjective optimization problem using preference-based genetic algorithm. Promet—Traffic—Traffico 24, 183–191 (2012)
Ruiz, M., Segui-Pons, J.M., Mateu-Lladó, J.: Improving bus service levels and social equity through bus frequency modelling. J. Transp. Geogr. 58, 220–233 (2017)
Yang, Z., Zhao, S., Zhao, Q.: Research on bus scheduling based on artificial immune algorithm. In: International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1–4. IEEE, October 2008
Yu, B., Yang, Z., Cheng, C., Zuo, Z.: Bi-level programming model for optmizing bus frequencies and its algorithm. J. Jilin Univ. (Eng. Technol. Ed.) 36, 664–668 (2006)
Niu, X.Q., Chen, Q., Wang, W.: Optimal model of urban bus frequency determination. J. Traffic Transp. Eng. 3(4), 68–72 (2013)
Martínez, H., Mauttone, A., Urquhart, M.E.: Frequency optimization in public transportation systems: Formulation and metaheuristic approach. Eur. J. Oper. Res. 326, 27–36 (2014)
Currie, G.: Quantifying spatial gaps in public transport supply based on social needs. J. Transp. Geogr. 18, 31–41 (2008)
Shi, F., Wang, W., Lu, J.: Improvement and conclusion about resident trip generation. Urban Transp. China 3, 43–46 (2005)
Li, X., Shao, C., Jia, H.: Land use and resident trip generation model and its parameter calibration. J. Jilin Univ. (Eng. and Technol. Ed.) 37, 1300–1303 (2011)
Shi, F., Jiang, W., Wang, W., Lu, J.: Research on forecast method for traffic creating based on characteristic of land utilizing. China Civil Eng. J. 38, 115–118 (2005)
Delbosc, A., Currie, G.: Using Lorenz curves to assess public transport equity. J. Transp. Geogr. 19, 1252–1259 (2011)
Yin, G., Li, Q.: Green transportation system planning and implementation: a case study from Sino-Singapore Eco-City, T. Urban Transp. China 7, 58–65 (2009)
Zhang, T.: Analysis on characteristics of the resident trip and study on policy of the transport development in medium or small Urban. Sci. Technol. Inf. Water Transp. 3, 58–65 (2005)
Shen, J., He, B., Sun, J.: Analysis on characteristics of the resident trip and study on policy of the transportation development in small or medium city. Highw. Eng. 36, 123–126 (2011)
Li, Y., Duan, H., Chen, J., Meng, Q.: Characteristic of resident trip and countermeasure of transport development in medium or small city. Transp. Stand. 214, 28–31 (2010)
Li, Q.: Urban public transport network planning study. Master thesis, Hunan University (2002)
Shalalfah, B.W., Shalaby, A.S.: Case study: relationship of walk access distance to transit with service, travel, and pemonal characteristics. J. Urban Plan. Dev. 133, 114–118 (2007)
Ma, K., Cao, B., Fan, X.: Analysis on the resident trip characteristics and study on the transport polices in Tianjing. Transp. Stand. 4, 112–113 (2007)
Acknowledgements
This paper is supported by Innovation practice training program for college students of Chinese Academy of Sciences (No. 201707000121). We would like to thank all members of this project and we also thank the administration section of the Sino-Singapore Tianjin Eco-city for providing us necessary data.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Lou, S., Peng, L., Song, Y., Chen, X., You, C. (2020). Optimization of Bus Service with a Spatio-Temporal Transport Pulsation Model. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-12388-8_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12387-1
Online ISBN: 978-3-030-12388-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)