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Articles

Metro transit system resilience: Understanding the impacts of outdoor tracks and weather conditions on metro system interruptions

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Pages 657-670 | Received 18 Apr 2017, Accepted 24 Mar 2019, Published online: 23 Apr 2019

References

  • Abdulhafedh, A. (2016). Crash frequency analysis. Journal of Transportation Technologies, 6(4), 12. doi: 10.4236/jtts.2016.64017
  • Alian, S., Baker, R., & Wood, S. (2016). Rural casualty crashes on the Kings Highway: A new approach for road safety studies. Accident Analysis & Prevention, 95, 8–19. doi: 10.1016/j.aap.2016.06.005
  • American Public Transportation Association (APTA). (2013). APTA transit ridership report, second quarter, 2013. Washington, D.C.: American Public Transportation Association (APTA).
  • Arana, P., Cabezudo, S., & Peñalba, M. (2014). Influence of weather conditions on transit ridership: A statistical study using data from Smartcards. Transportation Research Part A: Policy and Practice, 59, 1–12. doi: 10.1016/j.tra.2013.10.019
  • Bates, J., Polak, J., Jones, P., & Cook, A. (2001). The valuation of reliability for personal travel. Transportation Research Part E: Logistics and Transportation Review, 37(2–3), 191–229. doi: 10.1016/S1366-5545(00)00011-9
  • Brazil, W., White, A., Nogal, M., Caulfield, B., O'Connor, A., & Morton, C. (2017). Weather and rail delays: Analysis of metropolitan rail in Dublin. Journal of Transport Geography, 59, 69–76. doi: 10.1016/j.jtrangeo.2017.01.008
  • Caliendo, C. (2017). Crash prediction models for roads including rainfall and hazardous points. International Journal of Civil Engineering and Technology, 8(9), 477–485.
  • Caliendo, C., Guida, M., & Parisi, A. (2007). A crash-prediction model for multilane roads. Accident Analysis & Prevention, 39(4), 657–670. doi: 10.1016/j.aap.2006.10.012
  • Chen, X. (2015). A sustainability analysis on the wuhan-guangzhou high-speed railway in China. International Journal of Sustainable Transportation, 9(5), 348–363. doi: 10.1080/15568318.2013.797526
  • Chung, Y. (2010). Development of an accident duration prediction model on the Korean Freeway Systems. Accident Analysis & Prevention, 42(1), 282–289. doi: 10.1016/j.aap.2009.08.005
  • Cirillo, C., Eboli, L., & Mazzulla, G. (2011). On the asymmetric user perception of transit service quality. International Journal of Sustainable Transportation, 5(4), 216–232. doi: 10.1080/15568318.2010.494231
  • Das, S., Sun, X., Wang, F., & Leboeuf, C. (2015). Estimating likelihood of future crashes for crash-prone drivers. Journal of Traffic and Transportation Engineering (English Edition), 2(3), 145–157. doi: 10.1016/j.jtte.2015.03.003
  • Department of Transport. (2014). Transport resilience review: A review of the resilience of the transport network to extreme weather events. London, England: Department of Transport.
  • Diab, E., & El-Geneidy, A. (2013). Variation in bus transit service: Understanding the impacts of various improvement strategies on transit service reliability. Public Transport, 4(3), 209–231. doi: 10.1007/s12469-013-0061-0
  • Diab, E., & El-Geneidy, A. (2015). The farside story: Measuring the benefits of bus stop location on transit performance. Transportation Research Record: Journal of the Transportation Research Board, 2538, 1–10. doi: 10.3141/2538-01
  • El-Geneidy, A., Manaugh, K., & van Lierop, D. (2014). Assessing the big move: Accessibility measures as a planning support tool. Paper presented at the CITTA 7th Annual Conference on Planning Research, Porto, Portugal.
  • Feith, J. (2016). Montreal will get $775M in federal funds for public transit, prime minister announces.
  • Flyvbjerg, B., Bruzelius, N., & van Wee, B. (2013). Comparison of capital costs per route-kilometre in urban rail (arXiv preprint arXiv:1303.6569).
  • Fox, H. (2000). World Bank urban transport strategy review—Mass rapid transit in developing countries (Final report). Washington, DC: World Bank.
  • Fredette, M., Mambu, L., Chouinard, A., & Bellavance, F. (2008). Safety impacts due to the incompatibility of SUVs, minivans, and pickup trucks in two-vehicle collisions. Accident Analysis & Prevention, 40(6), 1987–1995. doi: 10.1016/j.aap.2008.08.026
  • Greibe, P. (2003). Accident prediction models for urban roads. Accident Analysis & Prevention, 35(2), 273–285. doi: 10.1016/S0001-4575(02)00005-2
  • Kalinowskir, T. (2014). TTC signal solution promises subway relief someday—But for now, it’s more delays. Retrieved from https://www.thestar.com/news/gta/transportation/2014/11/20/ttc_signal_solution_promises_subway_relief_someday_but_for_now_its_more_delays.html
  • Kalinowskir, T. (2016). TTC subway service improving, but maintenance program has to wait. Retrieved from https://www.thestar.com/news/gta/transportation/2016/02/01/ttc-subway-service-improving-but-maintenance-program-has-to-wait.html
  • Li, R., & Shang, P. (2014). Incident duration modeling using flexible parametric hazard-based models. Computational Intelligence and Neuroscience, 2014, 723427. doi: 10.1155/2014/723427
  • Louie, J., Shalaby, A., & Habib, K. (2016). Modelling disruption duration for Toronto’s subway system: An empirical investigation using lognormal regression and hazard models. Paper presented at the The Transportation Research Board 95th Annual Meeting, Washington, D.C.
  • Manaugh, K., & El-Geneidy, A. (2012). Who benefits from new transportation infrastructure? Using accessibility measures to evaluate social equity in public transport provision. In K. Geurs, K. Krizek, & A. Reggiani (Eds.), Accessibility and transport planning: Challenges for Europe and North America (pp. 211–227). London, UK: Edward Elgar.
  • Mattsson, L., & Jenelius, E. (2015). Vulnerability and resilience of transport systems—A discussion of recent research. Transportation Research Part A: Policy and Practice, 81, 16–34. doi: 10.1016/j.tra.2015.06.002
  • Mesbah, M., Lin, J., & Currie, G. (2015). “Weather” transit is reliable? Using AVL data to explore tram performance in Melbourne, Australia. Journal of Traffic and Transportation Engineering (English Edition), 2(3), 125–135. doi: 10.1016/j.jtte.2015.03.001
  • Naderan, A., & Shahi, J. (2010). Aggregate crash prediction models: Introducing crash generation concept. Accident Analysis & Prevention, 42(1), 339–346. doi: 10.1016/j.aap.2009.08.020
  • Nam, D., & Mannering, F. (2000). An exploratory hazard-based analysis of highway incident duration. Transportation Research Part A: Policy and Practice, 34(2), 85–102. doi: 10.1016/S0965-8564(98)00065-2
  • Nam, D., Park, D., & Khamkongkhun, A. (2005). Estimation of value of travel time reliability. Journal of Advanced Transportation, 39(1), 39–61. doi: 10.1002/atr.5670390105
  • Noland, R., & Polak, J. (2002). Travel time variability: A review of theoretical and empirical issues. Transport Reviews, 22(1), 39–54. doi: 10.1080/01441640010022456
  • Obaidat, M., & Ramadan, T. (2012). Traffic accidents at hazardous locations of urban roads. Jordan Journal of Civil Engineering, 6(4), 436–447.
  • Ontario Ministry of Finance. (2016). Ontario population projections update, 2015–2041. Retrieved from http://www.fin.gov.on.ca/en/economy/demographics/projections/
  • Qin, X., Ivan, J., & Ravishanker, N. (2004). Selecting exposure measures in crash rate prediction for two-lane highway segments. Accident Analysis and Prevention, 36(2), 183–191. doi: 10.1016/S0001-4575(02)00148-3
  • Rakha, H., Arafeh, M., Abdel-Salam, A., Guo, F., & Flintsch, A. (2010). Linear regression crash prediction models: Issues and proposed solutions (Vol. No. VT-2008-03).
  • Rizaldi, A., Dixit, V., Pande, A., & Junirman, R. (2017). Predicting casualty-accident count by highway design standards compliance. International Journal of Transportation Science and Technology, 6(3), 174–183. doi: 10.1016/j.ijtst.2017.07.005
  • Saxe, S., Cruickshank, H., & Miller, E. (2015). Greenhouse gas impact of ridership on Sheppard subway line, Toronto, Canada. Transportation Research Record: Journal of the Transportation Research Board, 2502, 62–70. doi: 10.3141/2502-08
  • Schmöcker, J., Cooper, S., & Adeney, W. (2005). Metro service delay recovery: Comparison of strategies and constraints across systems. Transportation Research Record: Journal of the Transportation Research Board, 1930, 30–37. doi: 10.3141/1930-04
  • Šenk, P., Ambros, J., Pokorný, P., & Striegler, R. (2012). Use of accident prediction models in identifying hazardous road locations. Transactions on Transport Sciences, 5(4), 223–232. doi: 10.2478/v10158-012-0025-0
  • Shum, D. (2016). Toronto to receive $840M of federal funding to improve public transit. Retrieved from http://globalnews.ca/news/2684486/justin-trudeau-in-toronto-to-make-transit-announcement/
  • Stover, V., & McCormack, E. (2012). The impact of weather on bus ridership in Pierce County, Washington. Journal of Public Transportation, 15(1), 6.
  • Straphangers Campaign. (2014). Methodology: Straphangers campaign analysis of MTA alerts of subway incidents/delays. Retrieved from http://www.straphangers.org/alerts/14/Methodology.pdf
  • TTC. (2013a). Toronto Transit Commission subway ridership, 2012–2013. Toronto, Canada: Toronto Transit Commission (TTC).
  • TTC. (2013b). TTC operating statistics 2013. Retrieved from https://www.ttc.ca/About_the_TTC/Operating_Statistics/2013.jsp
  • TTC. (2013c). TTC prepares for winter storm. Retrieved from https://www.ttc.ca/News/2013/February/NR_Snow_Storm.jsp
  • TTC. (2014). Chief executive officer’s report—April 2014 update. Toronto, Canada: Toronto Transit Commission.
  • TTC. (2016). Automatic train control: Project summary. Retrieved from https://www.ttc.ca/About_the_TTC/Projects/Automatic_Train_Control/index.jsp
  • Valenti, G., Lelli, M., & Cucina, D. (2010). A comparative study of models for the incident duration prediction. European Transport Research Review, 2(2), 103–111. doi: 10.1007/s12544-010-0031-4
  • Wang, K., Bhowmik, T., Yasmin, S., Zhao, S., Eluru, N., & Jackson, E. (2019). Multivariate copula temporal modeling of intersection crash consequence metrics: A joint estimation of injury severity, crash type, vehicle damage and driver error. Accident Analysis & Prevention, 125, 188–197. doi: 10.1016/j.aap.2019.01.036
  • Weng, J., Zheng, Y., Yan, X., & Meng, Q. (2014). Development of a subway operation incident delay model using accelerated failure time approaches. Accident Analysis & Prevention, 73, 12–19. doi: 10.1016/j.aap.2014.07.029
  • Wier, M., Weintraub, J., Humphreys, E., Seto, E., & Bhatia, R. (2009). An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning. Accident Analysis and Prevention, 41(1), 137–145. doi: 10.1016/j.aap.2008.10.001
  • Yu, R., & Abdel-Aty, M. (2013). Multi-level Bayesian analyses for single- and multi-vehicle freeway crashes. Accident Analysis & Prevention, 58, 97–105. doi: 10.1016/j.aap.2013.04.025

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