Paper Titles

Inspiration from Major International Airport at Home and Abroad Construction Experience to Beijing New Airport
p.2024

Longitudinal Collision Risk Assessment of Paired Departure to Closed Spaced Parallel Runways
p.2028

Method of Transit Signal Priority Control Based on the Prediction of Bus Dwell Time at Bus Station
p.2034

Multi-Agent Based Simulation Model for Rail Transit Evacuation Process
p.2044

Network Design of Park-and-Ride System to Promote Transit Patronage
p.2050

On Study of Driver’s Shoulder Fatigue in Manual and Automatic on Grassland Highway
p.2054

Optimization for Hazardous Materials Transportation Network Based on Toll Policies
p.2061

Park-and-Ride Network Design: A Goal Programming Approach
p.2065

Predict the Volume of Passenger Transport of Railway Based on Grey Markov Chain Model
p.2069

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1030-1032Network Design of Park-and-Ride System to Promote...

Network Design of Park-and-Ride System to Promote Transit Patronage

Article Preview

Abstract:

This paper proposed a bi-level programming model to optimize the locations and capacity for rail-based park-and-ride sites to promote transit patronage. A multinomial logit model was incorporated in a mode split/traffic assignment model to assess any given park-and-ride scheme. This model was then taken as the lower level model, and the upper level programming model is established to optimize the location and capacity of park-and-ride with the goal of promoting transit patronage. A heuristic tabu search algorithm is then adopted to solve this model.

You might also be interested in these eBooks

Materials, Transportation and Environmental Engineering II

Info:

Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

2050-2053

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.2050

Citation:

Cite this paper

Online since:

September 2014

Authors:

Xin Yuan Chen*, Zhi Yuan Liu, Wei Deng

Keywords:

Bi-Level Programming, Bi-Modal Network, Location Design, Network Design, Park-and-Ride

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] P. Hamer: Analysing the effectiveness of park and ride as a generator of public transport mode shift, Road & Transport Research, 19(1), (2010) 51–61.

[2] W. Lam, M. N. Holyoak and H. Lo: How P&R schemes can be successful in Eastern Asia. Journal of Urban Planning and Development, 127(2), (2001) 63–78.

DOI: 10.1061/(asce)0733-9488(2001)127:2(63)

[3] Y. Bie, D. Wang and H. Qi: Prediction Model of Bus Arrival Time at Signalized Intersection Using GPS Data. Journal of Transportation Engineering, 138(1), (2011) 12-20.

DOI: 10.1061/(asce)te.1943-5436.0000310

[4] Y. Bie, Z. Liu, D. Ma and D. Wang: Calibration of platoon dispersion parameter considering the impact of number of lanes, Journal of Transportation Engineering, 139(2), (2013) 200–207.

DOI: 10.1061/(asce)te.1943-5436.0000443

[5] Z. Liu, Y. Yan, X. Qu and Y. Zhang: Bus stop-skipping scheme with random travel time, Transportation Research Part C, 35, (2013) 46-56.

DOI: 10.1016/j.trc.2013.06.004

[6] Z. Liu and Q. Meng: Bus-based P&R system: a stochastic model on multimodal network with congestion pricing schemes. International Journal of Systems Science, 45(5), (2014) 994-1006.

DOI: 10.1080/00207721.2012.743617

[7] Z. Liu, Q. Meng and S. Wang: Speed-based toll design for cordon-based congestion pricing scheme. Transportation Research Part C, 31, (2013) 83-98.

DOI: 10.1016/j.trc.2013.02.012

[8] Q. Meng and Z. Liu: Impact Analysis of Cordon-based Congestion Pricing Scheme on Mode-Split of Bimodal Transportation Network. Transportation Research Part C, 21(1), (2012)134-147.

DOI: 10.1016/j.trc.2011.06.007

[9] Z. Liu, Q. Meng, S. Wang and Z. Sun: Global Intermodal Liner Shipping Network Design, Transportation Research Part E, 61, (2014) 28-39.

DOI: 10.1016/j.tre.2013.10.006

[10] Z. Liu and Q. Meng: Distributed Computing Approaches for Large-scale Probit-based Stochastic User Equilibrium Problem, Journal of Advanced Transportation, 47, (2013) 553-571.

DOI: 10.1002/atr.177

[11] S. Wang, Q. Meng, and H. Yang: Global optimization methods for the discrete network design problem. Transportation Research Part B, 50, (2013) 42-60.

DOI: 10.1016/j.trb.2013.01.006

[12] Y. Yan, Q. Meng, S. Wang and X. Guo: Robust optimization model of schedule design for a fixed bus route, Transportation Research Part C, 25, (2012) 113-121.

DOI: 10.1016/j.trc.2012.05.006

[13] Q. Meng, Z. Liu and S. Wang: Optimal Distance-based Toll Design For Cordon-based Congestion Pricing Scheme with Continuously Distributed Value-of-time, Transportation Research Part E, 48(5), (2012) 937-957.

DOI: 10.1016/j.tre.2012.04.004

[14] Y. Yan, Z. Liu, Q. Meng and J. Yu: Robust Optimization Model of Bus Transit Network Design with Stochastic Travel Time, Journal of Transportation Engineering, 139(6), (2013) 625–634.

DOI: 10.1061/(asce)te.1943-5436.0000536

[15] Q. Meng and Z. Liu: Mathematical Models and Computational Algorithms for Probit-based Asymmetric Stochastic User Equilibrium Problem with Elastic Demand, Transportmetrica, 8(4), c (2012) 261-290.

DOI: 10.1080/18128601003736026

[16] J. Ortuzar and L. Willumsen: Modelling Transport, 4th Edition, Chichester: Wiley, (2011).

[17] F. Glover and M. Laguna: Tabu Search. Handbook of Combinatorial Optimization, Kluwer Academic Publishers, 3, (1999).