TY - JOUR
T1 - Optimal design of demand adaptive paired-line hybrid transit
T2 - Case of radial route structure
AU - Chen, Peng (Will)
AU - Nie, Yu (Marco)
N1 - Funding Information:
This project was funded by National Science Foundation under the award number CMMI-1402911 .
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/2
Y1 - 2018/2
N2 - This paper studies the design problem of a demand adaptive paired-line hybrid transit system with a radial network structure. Depending on whether the demand adaptive service is operated along circular or radial transit lines, two variants of such systems are considered: a Circular Model (or C-Model) and a Radial Model (or R-Model). A continuous approximation approach is employed to develop the optimal design problem, which is formulated as a mixed integer program. A comprehensive numerical experiment is performed to compare various cost components corresponding to the optimal design of the two systems, and a discrete-event simulation is developed to validate the analysis. Numerical and simulation results suggest that the radial route network outperforms the grid route network, which was analyzed previously in the literature, with a significant margin, while the C-Model and R-Model offer similar performance.
AB - This paper studies the design problem of a demand adaptive paired-line hybrid transit system with a radial network structure. Depending on whether the demand adaptive service is operated along circular or radial transit lines, two variants of such systems are considered: a Circular Model (or C-Model) and a Radial Model (or R-Model). A continuous approximation approach is employed to develop the optimal design problem, which is formulated as a mixed integer program. A comprehensive numerical experiment is performed to compare various cost components corresponding to the optimal design of the two systems, and a discrete-event simulation is developed to validate the analysis. Numerical and simulation results suggest that the radial route network outperforms the grid route network, which was analyzed previously in the literature, with a significant margin, while the C-Model and R-Model offer similar performance.
KW - Continuous approximation
KW - Demand adaptive service
KW - Discrete-event simulation
KW - Hybrid transit
KW - Radial network
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U2 - 10.1016/j.tre.2017.12.006
DO - 10.1016/j.tre.2017.12.006
M3 - Article
AN - SCOPUS:85039152603
SN - 1366-5545
VL - 110
SP - 71
EP - 89
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
ER -