References
- Amin-Naseri, M. R., & Baradaran, V. (2015). Accurate estimation of average waiting time in public transportation systems. Transportation Science, 49(2), 213–222. doi: https://doi.org/10.1287/trsc.2013.0514
- Basso, L. J., & Jara-Díaz, S. R. (2012). Integrating congestion pricing, transit subsidies and mode choice. Transportation Research Part A: Policy and Practice, 46(6), 890–900.
- Canca, D., Andrade-Pineda, J. L., De los Santos, A., & Calle, M. (2018). The railway rapid transit frequency setting problem with speed-dependent operation costs. Transportation Research Part B: Methodological, 117, 494–519. doi: https://doi.org/10.1016/j.trb.2018.09.013
- Ceder, A. (2001). Bus timetables with even passenger loads as opposed to even headways. Transportation Research Record: Journal of the Transportation Research Board, 1760, 3–9. doi: https://doi.org/10.3141/1760-01
- Ceder, A. A., Hassold, S., & Dano, B. (2013). Approaching even-load and even-headway transit timetables using different bus sizes. Public Transport, 5(3), 193–217. doi: https://doi.org/10.1007/s12469-013-0062-z
- Ceder, A., & Marguier, P. H. (1985). Passenger waiting time at transit stops. Traffic Engineering & Control, 26(6), 327–329.
- Chen, Q., Adida, E., & Lin, J. (2013). Implementation of an iterative headway-based bus holding strategy with real-time information. Public Transport, 4(3), 165–186. doi: https://doi.org/10.1007/s12469-012-0057-1
- Chiraphadhanakul, V., & Barnhart, C. (2013). Incremental bus service design: Combining limited-stop and local bus services. Public Transport, 5(1-2), 53–78. doi: https://doi.org/10.1007/s12469-013-0067-7
- Clerq, F. P. (1972). A public transport assignment method. Verkeerstechniek, Netherlands, 23, 6.
- Daganzo, C. F. (2010). Structure of competitive transit networks. Transportation Research Part B: Methodological, 44(4), 434–446. doi: https://doi.org/10.1016/j.trb.2009.11.001
- De Borger, B., & Fosgerau, M. (2012). Information provision by regulated public transport companies. Transportation Research Part B: Methodological, 46(4), 492–510. doi: https://doi.org/10.1016/j.trb.2011.11.007
- De Gruyter, C., Currie, G., Truong, L. T., & Naznin, F. (2019). A meta-analysis and synthesis of public transport customer amenity valuation research. Transport Reviews, 39(2), 261–283. doi: https://doi.org/10.1080/01441647.2018.1461708
- Delgado, F., Munoz, J. C., & Giesen, R. (2012). How much can holding and/or limiting boarding improve transit performance? Transportation Research Part B: Methodological, 46(9), 1202–1217. doi: https://doi.org/10.1016/j.trb.2012.04.005
- Dial, R. B. (1967). Transit pathfinder algorithm. Highway Research Record, 205.
- Ding, Y., Chien, S., & Zayas, N. (2000). Simulating bus operations with enhanced corridor simulator: Case study of New Jersey transit bus route 39. Transportation Research Record: Journal of the Transportation Research Board, 1731, 104–111. doi: https://doi.org/10.3141/1731-13
- Fonzone, A., & Schmöcker, J. D. (2014). Effects of transit real-time information usage strategies. Transportation Research Record: Journal of the Transportation Research Board, 2417, 121–129. doi: https://doi.org/10.3141/2417-13
- Freyss, M., Giesen, R., & Muñoz, J. C. (2013). Continuous approximation for skip-stop operation in rail transit. Transportation Research Part C: Emerging Technologies, 36, 419–433. doi: https://doi.org/10.1016/j.trc.2013.07.004
- Fu, L., & Yang, X. (2002). Design and implementation of bus-holding control strategies with real-time information. Transportation Research Record: Journal of the Transportation Research Board, 1791, 6–12. doi: https://doi.org/10.3141/1791-02
- Furth, P., & Muller, T. (2007). Service reliability and optimal running time schedules. Transportation Research Record: Journal of the Transportation Research Board, 2034, 55–61. doi: https://doi.org/10.3141/2034-07
- Furth, P. G., & Muller, T. H. (2009). Optimality conditions for public transport schedules with timepoint holding. Public Transport, 1(2), 87–102. doi: https://doi.org/10.1007/s12469-008-0002-5
- Gallo, M., Montella, B., & D’Acierno, L. (2011). The transit network design problem with elastic demand and internalisation of external costs: An application to rail frequency optimisation. Transportation Research Part C: Emerging Technologies, 19(6), 1276–1305. doi: https://doi.org/10.1016/j.trc.2011.02.008
- Gkiotsalitis, K., Wu, Z., & Cats, O. (2019). A cost-minimization model for bus fleet allocation featuring the tactical generation of short-turning and interlining options. Transportation Research Part C: Emerging Technologies, 98, 14–36. doi: https://doi.org/10.1016/j.trc.2018.11.007
- Gong, H., Chen, X., Yu, L., & Wu, L. (2016). An application-oriented model of passenger waiting time based on bus departure time intervals. Transportation Planning and Technology, 39, 424–437. doi: https://doi.org/10.1080/03081060.2016.1160583
- Guo, Q. W., Chen, S., Schonfeld, P., & Li, Z. (2018). How time-inconsistent preferences affect investment timing for rail transit. Transportation Research Part B: Methodological, 118, 172–192. doi: https://doi.org/10.1016/j.trb.2018.10.009
- Guo, S., Yu, L., Chen, X., & Zhang, Y. (2011). Modelling waiting time for passengers transferring from rail to buses. Transportation Planning and Technology, 34, 795–809. doi: https://doi.org/10.1080/03081060.2011.613589
- Hickman, M. D. (2001). An analytic stochastic model for the transit vehicle holding problem. Transportation Science, 35(3), 215–237. doi: https://doi.org/10.1287/trsc.35.3.215.10150
- Holroyd, E. M., & Scraggs, D. A. (1966). Waiting times for buses in Central London. Traffic Engineering and Control, 8(3), 158–160.
- Hörcher, D., & Graham, D. J. (2018). Demand imbalances and multi-period public transport supply. Transportation Research Part B: Methodological, 108, 106–126. doi: https://doi.org/10.1016/j.trb.2017.12.009
- Hossain, M. S., Hunt, J. D., & Wirasinghe, S. C. (2015). Nature of influence of out-of-vehicle time-related attributes on transit attractiveness: A random parameters logit model analysis. Journal of Advanced Transportation, 49(5), 648–662. doi: https://doi.org/10.1002/atr.1297
- Hounsell, N. B., Shrestha, B. P., & Wong, A. (2012). Data management and applications in a world-leading bus fleet. Transportation Research Part C: Emerging Technologies, 22, 76–87. doi: https://doi.org/10.1016/j.trc.2011.12.005
- Huddart, K. (1974). Bus priority in greater London. Bus bunching and regularity of service. Traffic Engineering and Control, 14, 592–594.
- Ingvardson, J. B., Nielsen, O. A., Raveau, S., & Nielsen, B. F. (2018). Passenger arrival and waiting time distributions dependent on train service frequency and station characteristics: A smart card data analysis. Transportation Research Part C: Emerging Technologies, 90, 292–306. doi: https://doi.org/10.1016/j.trc.2018.03.006
- Jolliffe, J. K., & Hutchinson, T. P. (1975). A behavioural explanation of the association between bus and passenger arrivals at a bus stop. Transportation Science, 9(3), 248–282. doi: https://doi.org/10.1287/trsc.9.3.248
- Kocur, G., & Hendrickson, C. (1982). Design of local bus service with demand equilibration. Transportation Science, 16(2), 149–170. doi: https://doi.org/10.1287/trsc.16.2.149
- Kraft, G., & Wohl, M. (1967). New directions for passenger demand analysis and forecasting. Transportation Research, 1(3), 205–230. doi: https://doi.org/10.1016/0041-1647(67)90033-0
- Larsen, O. I., & Sunde, Ø. (2008). Waiting time and the role and value of information in scheduled transport. Research in Transportation Economics, 23(1), 41–52. doi: https://doi.org/10.1016/j.retrec.2008.10.005
- Li, Z. C., Lam, W. H., Wong, S. C., & Sumalee, A. (2012b). Design of a rail transit line for profit maximization in a linear transportation corridor. Transportation Research Part E: Logistics and Transportation Review, 48(1), 50–70. doi: https://doi.org/10.1016/j.tre.2011.05.003
- Li, Z. C., Lam, W. H., & Wong, S. C. (2012a). Modeling intermodal equilibrium for bimodal transportation system design problems in a linear monocentric city. Transportation Research Part B: Methodological, 46(1), 30–49. doi: https://doi.org/10.1016/j.trb.2011.08.002
- Lin, G. S., Liang, P., Schonfeld, P., & Larson, R. (1995). Adaptive control of transit operations. Final report, 15 August 1993-15 June 1995 (No. PB–96-136882/XAB). Maryland Univ., College Park, MD (United States). Dept. of Civil Engineering.
- Lin, Y., Yang, X., Chang, G. L., & Zou, N. (2013). Transit priority strategies for multiple routes under headway-based operations. Transportation Research Record: Journal of the Transportation Research Board, 2356, 34–43. doi: https://doi.org/10.1177/0361198113235600105
- Liu, T., & Ceder, A. A. (2018). Integrated public transport timetable synchronization and vehicle scheduling with demand assignment: A bi-objective bi-level model using deficit function approach. Transportation Research Part B: Methodological, 117, 935–955. doi: https://doi.org/10.1016/j.trb.2017.08.024
- Liu, Z., Yan, Y., Qu, X., & Zhang, Y. (2013). Bus stop-skipping scheme with random travel time. Transportation Research Part C: Emerging Technologies, 35, 46–56. doi: https://doi.org/10.1016/j.trc.2013.06.004
- Luethi, M., Weidmann, U. A., & Nash, A. (2007). Passenger arrival rates at public transport stations. In Transportation Research Board 86th Annual Meeting (No. 07-0635).
- Mazloumi, E., Mesbah, M., Ceder, A., Moridpour, S., & Currie, G. (2012). Efficient transit schedule design of timing points: A comparison of ant colony and genetic algorithms. Transportation Research Part B: Methodological, 46(1), 217–234. doi: https://doi.org/10.1016/j.trb.2011.09.010
- Munizaga, M. A., & Palma, C. (2012). Estimation of a disaggregate multimodal public transport origin–destination matrix from passive smartcard data from Santiago, Chile. Transportation Research Part C: Emerging Technologies, 24, 9–18. doi: https://doi.org/10.1016/j.trc.2012.01.007
- Muñoz, J. C., Cortés, C. E., Giesen, R., Sáez, D., Delgado, F., Valencia, F., & Cipriano, A. (2013). Comparison of dynamic control strategies for transit operations. Transportation Research Part C: Emerging Technologies, 28, 101–113. doi: https://doi.org/10.1016/j.trc.2012.12.010
- Newell, G. F. (1971). Dispatching policies for a transportation route. Transportation Science, 5(1), 91–105. doi: https://doi.org/10.1287/trsc.5.1.91
- Nourbakhsh, S. M., & Ouyang, Y. (2012). A structured flexible transit system for low demand areas. Transportation Research Part B: Methodological, 46(1), 204–216. doi: https://doi.org/10.1016/j.trb.2011.07.014
- Nuzzolo, A., & Comi, A. (2016). Advanced public transport and intelligent transport systems: New modelling challenges. Transportmetrica A: Transport Science, 12(8), 674–699. doi: https://doi.org/10.1080/23249935.2016.1166158
- Nuzzolo, A., & Crisalli, U. (2004). The schedule-based approach in dynamic transit modelling: A general overview. In A. Nuzzolo & N. H. M. Wilson (Eds.), Schedule-based dynamic transit modeling: Theory and applications (pp. 1–24). Boston: Kluwer Academic Publisher.
- Nuzzolo, A., Crisalli, U., & Rosati, L. (2012). A schedule-based assignment model with explicit capacity constraints for congested transit networks. Transportation Research Part C: Emerging Technologies, 20(1), 16–33. doi: https://doi.org/10.1016/j.trc.2011.02.007
- O'Flaherty, C. A., & Mancan, D. O. (1970). Bus passenger waiting times in central areas. Traffic Engineering & Control, 11, 419–421.
- Okrent, M. M. (1974). Effects of transit service characteristics on passenger waiting time (Doctoral dissertation, Northwestern University).
- Osuna, E. E., & Newell, G. F. (1972). Control strategies for an idealized public transportation system. Transportation Science, 6(1), 52–72. doi: https://doi.org/10.1287/trsc.6.1.52
- Parast, A. B. (2012). Transit information systems: Schedules and headways. Retrieved from http://seattletransitblog.com/2012/11/15/transit-information-systems-schedules/
- Rahman, M., Wirasinghe, S. C., & Kattan, L. (2013). Users’ views on current and future real-time bus information systems. Journal of Advanced Transportation, 47(3), 336–354. doi: https://doi.org/10.1002/atr.1206
- Rahman, M. M., Wirasinghe, S. C., & Kattan, L. (2016). The effect of time interval of bus location data on real-time bus arrival estimations. Transportmetrica A: Transport Science, 12(8), 700–720. doi: https://doi.org/10.1080/23249935.2016.1166159
- Ruisanchez, F., & Ibeas, A. (2012). Design of a tabu search algorithm for assigning optimal bus sizes and frequencies in urban transport services. Journal of Advanced Transportation, 46(4), 366–377. doi: https://doi.org/10.1002/atr.1195
- Sáez, D., Cortés, C. E., Milla, F., Núñez, A., Tirachini, A., & Riquelme, M. (2012). Hybrid predictive control strategy for a public transport system with uncertain demand. Transportmetrica, 8(1), 61–86. doi: https://doi.org/10.1080/18128601003615535
- Saidi, S., Wirasinghe, S. C., & Kattan, L. (2016). Long-term planning for ring-radial urban rail transit networks. Transportation Research Part B: Methodological, 86, 128–146. doi: https://doi.org/10.1016/j.trb.2016.01.017
- Schmöcker, J. D., Shimamoto, H., & Kurauchi, F. (2013). Generation and calibration of transit hyperpaths. Transportation Research Part C: Emerging Technologies, 36, 406–418. doi: https://doi.org/10.1016/j.trc.2013.06.014
- Seddon, P. A., & Day, M. P. (1974). Bus passenger waiting times in greater Manchester. Traffic Engineering and Control, 15(9), 442–445.
- Sivakumaran, K., Li, Y., Cassidy, M. J., & Madanat, S. (2012). Cost-saving properties of schedule coordination in a simple trunk-and-feeder transit system. Transportation Research Part A: Policy and Practice, 46(1), 131–139.
- Spiess, H., & Florian, M. (1989). Optimal strategies: A new assignment model for transit networks. Transportation Research Part B: Methodological, 23(2), 83–102. doi: https://doi.org/10.1016/0191-2615(89)90034-9
- Stewart, C., & El-Geneidy, A. (2016). Don’t stop just yet! A simple, effective, and socially responsible approach to bus-stop consolidation. Public Transport, 8(1), 1–23. doi: https://doi.org/10.1007/s12469-015-0112-9
- Sun, H., Wu, J., Wu, L., Yan, X., & Gao, Z. (2016). Estimating the influence of common disruptions on urban rail transit networks. Transportation Research Part A: Policy and Practice, 94, 62–75.
- Szeto, W. Y., & Jiang, Y. (2014). Transit assignment: Approach-based formulation, extragradient method, and paradox. Transportation Research Part B: Methodological, 62, 51–76. doi: https://doi.org/10.1016/j.trb.2014.01.010
- Szeto, W. Y., Jiang, Y., Wong, K. I., & Solayappan, M. (2013). Reliability-based stochastic transit assignment with capacity constraints: Formulation and solution method. Transportation Research Part C: Emerging Technologies, 35, 286–304. doi: https://doi.org/10.1016/j.trc.2011.09.001
- Szeto, W. Y., Solayappan, M., & Jiang, Y. (2011). Reliability-based transit assignment for congested stochastic transit networks. Computer-Aided Civil and Infrastructure Engineering, 26(4), 311–326. doi: https://doi.org/10.1111/j.1467-8667.2010.00680.x
- Tian, Q., Yang, H., & Huang, H. J. (2012). Pareto efficient strategies for regulating public transit operations. Public Transport, 3(3), 199–212. doi: https://doi.org/10.1007/s12469-011-0047-8
- Turnquist, M. A., & Blume, S. W. (1980). Evaluating potential effectiveness of headway control strategies for transit systems (No. 746).
- van Oort, N. (2014). Incorporating service reliability in public transport design and performance requirements: International survey results and recommendations. Research in Transportation Economics, 48, 92–100. doi: https://doi.org/10.1016/j.retrec.2014.09.036
- Van Oort, N. (2016). Incorporating enhanced service reliability of public transport in cost-benefit analyses. Public Transport, 8(1), 143–160. doi: https://doi.org/10.1007/s12469-016-0121-3
- Verbas, İÖ, Frei, C., Mahmassani, H. S., & Chan, R. (2015). Stretching resources: Sensitivity of optimal bus frequency allocation to stop-level demand elasticities. Public Transport, 7(1), 1–20. doi: https://doi.org/10.1007/s12469-013-0084-6
- Verbas, I., & Mahmassani, H. (2013). Optimal allocation of service frequencies over transit network routes and time periods. Transportation Research Record: Journal of the Transportation Research Board, 2334, 50–59. doi: https://doi.org/10.3141/2334-06
- Welding, P. I. (1957). The instability of a close-interval service. Journal of the Operational Research Society, 8, 133–142. doi: https://doi.org/10.1057/jors.1957.21
- Wirasinghe, S. C. (1980). Nearly optimal parameters for a rail/feeder-bus system on a rectangular grid. Transportation Research Part A: General, 14(1), 33–40. doi: https://doi.org/10.1016/0191-2607(80)90092-8
- Wirasinghe, S. C. (1990). Re-examination of Newell’s dispatching policy and extension to a public bus route with many to many time-varying demand. In International Symposium on Transportation and Traffic Theory.
- Wohl, M. (1968). Another view of transport system analysis. Proceedings of the IEEE, 56(4), 446–458. doi: https://doi.org/10.1109/PROC.1968.6335
- Yu, B., Yang, Z. Z., Jin, P. H., Wu, S. H., & Yao, B. Z. (2012). Transit route network design-maximizing direct and transfer demand density. Transportation Research Part C: Emerging Technologies, 22, 58–75. doi: https://doi.org/10.1016/j.trc.2011.12.003
- Zhang, J., Wang, D. Z., & Meng, M. (2018). Which service is better on a linear travel corridor: Park & ride or on-demand public bus? Transportation Research Part A: Policy and Practice, 118, 803–818.
- Zhao, J., Dessouky, M., & Bukkapatnam, S. (2006). Optimal slack time for schedule-based transit operations. Transportation Science, 40(4), 529–539. doi: https://doi.org/10.1287/trsc.1060.0170
- Zhao, Z., Koutsopoulos, H. N., & Zhao, J. (2018). Individual mobility prediction using transit smart card data. Transportation Research Part C: Emerging Technologies, 89, 19–34. doi: https://doi.org/10.1016/j.trc.2018.01.022
- Zhao, Z., Koutsopoulos, H. N., & Zhao, J. (2020). Uncovering spatiotemporal structures from transit smart card data for individual mobility modeling. In A. Constantinos, E. Dimitrios, & C. Emmanouil (Eds.), Demand for emerging transportation systems (pp. 123–149). Amsterdam: Elsevier.