Schedule-Based Integrated Intercity Bus Line Planning via Branch-and-Cut

References

• Arbués P, Bańos JF, Mayor M, Suárez P (2016) Determinants of ground transport modal choice in long-distance trips in Spain. Transportation Res. Part A: Policy Practice 84:131–143.Crossref, Google Scholar
• Augustin K, Gerike R, Martinez Sanchez MJ, Ayala C (2014) Analysis of intercity bus markets on long distances in an established and a young market: The example of the U.S. and Germany. Res. Transportation Econom. 48:245–254.Crossref, Google Scholar
• Bel G (1997) Changes in travel time across modes and its impact on the demand for inter-urban rail travel. Transportation Res. Part E: Logistics Transportation Rev. 33(1):43–52.Crossref, Google Scholar
• Button KJ (1987) The effects of regulatory reform on the U.S. inter-city bus industry. Transport Rev. 7(2):145–166.Crossref, Google Scholar
• Cascetta E, Coppola P (2016) Assessment of schedule-based and frequency-based assignment models for strategic and operational planning of high-speed rail services. Transportation Res. Part A: Policy Practice 84:93–108.Crossref, Google Scholar
• Cascetta E, Biggiero L, Nuzzolo A, Russo F (1996) A system of within-day dynamic demand and assignment models for scheduled inter-city services. Proc. Seminar D&E Transportation Planning Methods 24th PTRC Summer Annual Meeting, London.Google Scholar
• Cross AK, Kilvington RP (1985) Deregulation of intercity coach services in Britain. Transport Rev. 5(3):225–245.Crossref, Google Scholar
• de Dios Ortúzar J, Willumsen LG (2011) Modelling Transport, 4th ed. (Wiley, Chichester, UK).Crossref, Google Scholar
• Desaulniers G, Hickman MD (2007) Public transit. Barnhart C, Laporte G, eds. Handbooks in Operations Research and Management Science,, Vol. 14 (North-Holland, Amsterdam), 69–127.Google Scholar
• Freling R, Huisman D, Wagelmans APM (2003) Models and algorithms for integration of vehicle and crew scheduling. J. Scheduling 6(1):63–85.Crossref, Google Scholar
• Goerigk M, Schachtebeck M, Schöbel A (2013) Evaluating line concepts using travel times and robustness. Public Transport 5(3):267–284.Crossref, Google Scholar
• Guihaire V, Hao J-K (2008) Transit network design and scheduling: A global review. Transportation Res. Part A: Policy Practice 42(10):1251–1273.Crossref, Google Scholar
• Hensher DA, Li Z, Mulley C (2014) Drivers of bus rapid transit systems—Influences on patronage and service frequency. Res. Transportation Econom. 48:159–165.Crossref, Google Scholar
• Kaspi M, Raviv T (2013) Service-oriented line planning and timetabling for passenger trains. Transportation Sci. 47(3):295–311.Link, Google Scholar
• Klier MJ, Haase K (2014) Urban public transit network optimization with flexible demand. OR Spectrum 37(1):195–215.Crossref, Google Scholar
• Laporte G, Mesa JA, Ortega FA, Sevillano I (2005) Maximizing trip coverage in the location of a single rapid transit alignment. Ann. Oper. Res. 136(1):49–63.Crossref, Google Scholar
• Li Z-C, Lam WHK, Wong S, Sumalee A (2012) Design of a rail transit line for profit maximization in a linear transportation corridor. Transportation Res. Part E: Logistics Transportation Rev. 48(1):50–70.Crossref, Google Scholar
• Michaelis M, Schöbel A (2009) Integrating line planning, timetabling, and vehicle scheduling: A customer-oriented heuristic. Public Transport 1(3):211–232.Crossref, Google Scholar
• Miller E (2004) The trouble with intercity travel demand models. Transportation Res. Record: J. Transportation Res. Board 1895:94–101.Crossref, Google Scholar
• Moeckel R, Fussell R, Donnelly R (2015) Mode choice modeling for long-distance travel. Transportation Lett. 7(1):35–46.Crossref, Google Scholar
• Nuzzolo A, Crisalli U, Rosati L (2012) A schedule-based assignment model with explicit capacity constraints for congested transit networks. Transportation Res. Part C: Emerging Tech. 20(1):16–33.Crossref, Google Scholar
• Nuzzolo A, Crisalli U, Comi A, Sciangula F (2007) A schedule-based mode-service choice model for the assessment of competition between air transport and high speed services. Proc. 11th World Conf. Transport Res., Berkeley, CA.Google Scholar
• Owen AD, Phillips GDA (1987) The characteristics of railway passenger demand. J. Transport Econom. Policy 21(3):231–253.Google Scholar
• Paulley N, Balcombe R, Mackett R, Titheridge H, Preston J, Wardman M, Shires J, White P (2006) The demand for public transport: The effects of fares, quality of service, income and car ownership. Transport Policy 13(4):295–306.Crossref, Google Scholar
• Repolho HM, Antunes AP, Church RL (2013) Optimal location of railway stations: The Lisbon-Porto high-speed rail line. Transportation Sci. 47(3):330–343.Link, Google Scholar
• Schöbel A (2011) Line planning in public transportation: Models and methods. OR Spectrum 34(3):491–510.Crossref, Google Scholar
• Schöbel A, Hamacher HW, Liebers A, Wagner D (2009) The continuous stop location problem in public transportation networks. Asia-Pacific J. Oper. Res. 26(1):13–30.Crossref, Google Scholar
• Schmid V, Ehmke JF (2015) Integrated timetabling and vehicle scheduling with balanced departure times. OR Spectrum 37(4):903–928.Crossref, Google Scholar
• Schmidt M, Schöbel A (2014) Timetabling with passenger routing. OR Spectrum 37(1):75–97.Crossref, Google Scholar
• Verbas Ö, Frei C, Mahmassani HS, Chan R (2014) Stretching resources: Sensitivity of optimal bus frequency allocation to stop-level demand elasticities. Public Transport 7(1):1–20.Crossref, Google Scholar
• Vuchic VR (1969) Rapid transit interstation spacings for maximum number of passengers. Transportation Sci. 3(3):214–232.Link, Google Scholar
• Vuchic VR, Newell GF (1968) Rapid transit interstation spacings for minimum travel time. Transportation Sci. 2(4):303–339.Link, Google Scholar
• Wen C-H, Lan L, Cheng H-L (2005) Structural equation modeling to determine passenger loyalty toward intercity bus services. Transportation Res. Record: J. Transportation Res. Board 1927:249–255.Crossref, Google Scholar
• Wilson NHM, Nuzzolo A, eds. (2004) Schedule-Based Dynamic Transit Modeling: Theory and Applications (Springer Science+Business Media, New York).Crossref, Google Scholar
• Zhang L, Southworth F, Xiong C, Sonnenberg A (2012) Methodological options and data sources for the development of long-distance passenger travel demand models: A comprehensive review. Transport Rev. 32(4):399–433.Crossref, Google Scholar