Taxi vacancy duration: a regression analysis

References

• Axhausen, K. W., A. Zimmermann, S. Schönfelder, G. Rindsfüser, and T. Haupt. 2002. “Observing the Rhythms of Daily Life: A Six-week Travel Diary.” Transportation 29 (2): 95–124. doi: 10.1023/A:1014247822322
   Web of Science ®Google Scholar
• Camerer, C., L. Babcock, G. Loewenstein, and R. Thaler. 1997. “Labor Supply of New York City Cabdrivers: One Day at a Time.” The Quarterly Journal of Economics 112 (2): 407–441. doi: 10.1162/003355397555244
   Web of Science ®Google Scholar
• Çetin, T., and K. Y. Eryigit. 2011. “Estimating the Effects of Entry Regulation in the Istanbul Taxicab Market.” Transportation Research Part A: Policy and Practice 45 (6): 476–484.
   Web of Science ®Google Scholar
• Çetin, T., and K. Y. Eryigit. 2013. “The Economic Effects of Government Regulation: Evidence from the New York Taxicab Market.” Transport Policy 25: 169–177. doi: 10.1016/j.tranpol.2012.11.011
   Web of Science ®Google Scholar
• Chang, H. W., Y. C. Tai, and J. Y. J. Hsu. 2010. “Context-aware Taxi Demand Hotspots Prediction.” International Journal of Business Intelligence and Data Mining 5 (1): 3–18. doi: 10.1504/IJBIDM.2010.030296
   Google Scholar
• Chen, G., X. Jin, and J. Yang. 2010. “Study on Spatial and Temporal Mobility Pattern of Urban Taxi Services.” Proceedings of 2010 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2010), Hangzhou, November, pp. 422–425.
   Google Scholar
• Collett, D. 1994. Modeling Survival Data in Medical Research. New York: Chapman and Hall.
   Google Scholar
• Corpuz, G. 2007. “Public Transport or Private Vehicle: Factors that Impact on Mode Choice.” Proceedings of 30th Australasian Transport Research Forum, Melbourne, September, p. 11.
   Google Scholar
• FreeMeteo. 2013. “New York – Daily Weather History.“ In i-weather.com. Accessed April 21, 2015. http://i-weather.com/weather/new-york/history/daily-history/?gid=5128581&station=19438&date=2015-04-21&language=english&country=us-united-states.
   Google Scholar
• Ge, Y., H. Xiong, A. Tuzhilin, K. Xiao, M. Gruteser, and M. Pazzani. 2010. “An Energy-efficient Mobile Recommender System.” Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, D.C., July, pp. 899–908.
   Google Scholar
• Hensher, D. A., and F. L. Mannering. 1994. “Hazard-based Duration Models and Their Application to Transport Analysis.” Transport Reviews 14 (1): 63–82. doi: 10.1080/01441649408716866
   Web of Science ®Google Scholar
• Hu, X., S. Gao, Y. C. Chiu, and D. Y. Lin. 2012. “Modeling Routing Behavior for Vacant Taxicabs in Urban Traffic Networks.” Transportation Research Record: Journal of the Transportation Research Board 2284 (1): 81–88. doi: 10.3141/2284-10
   Web of Science ®Google Scholar
• Jian, T. 2005. “The Shock Wave of Universal Dispatching of Taxis in Shanghai.” Jiefang Daily. ( in Chinese).
   Google Scholar
• Jian-cheng, W., Z. Ya-qiao, Z. Xiao-juan, and R. Jian. 2009. “Floating Car Data Based Taxi Operation Characteristics Analysis in Beijing.” Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering, Los Angeles, Vol. 5, March, pp. 508–512.
   Google Scholar
• Kamga, C., M. A. Yazici, and A. Singhal. 2015. “Analysis of Taxi Demand and Supply in New York City: Implications of Recent Taxi Regulations.” Transportation Planning and Technology 38 (6): 601–625. doi: 10.1080/03081060.2015.1048944
   Web of Science ®Google Scholar
• Kim, H., J. S. Oh, and R. Jayakrishnan. 2005. “Effect of Taxi Information System on Efficiency and Quality of Taxi Services.” Transportation Research Record: Journal of the Transportation Research Board 1903 (1): 96–104. doi: 10.3141/1903-11
   Google Scholar
• Klein, J. P., and M. L. Moeschberger. 2003. Survival Analysis: Techniques for Censored and Truncated Data. Berlin: Springer.
   Google Scholar
• Liang, X., X. Zheng, W. Lv, T. Zhu, and K. Xu. 2012. “The Scaling of Human Mobility by Taxis is Exponential.” Physica A: Statistical Mechanics and its Applications 391 (5): 2135–2144. doi: 10.1016/j.physa.2011.11.035
   Web of Science ®Google Scholar
• Liu, L., C. Andris, and C. Ratti. 2010. “Uncovering Cabdrivers’ Behavior Patterns from Their Digital Traces.” Computers, Environment and Urban Systems 34 (6): 541–548. doi: 10.1016/j.compenvurbsys.2010.07.004
   Web of Science ®Google Scholar
• Liu, Y., F. Wang, Y. Xiao, and S. Gao. 2012. “Urban Land Uses and Traffic ‘Source-Sink Areas’: Evidence From GPS-Enabled Taxi Data in Shanghai.” Landscape and Urban Planning 106 (1): 73–87. doi: 10.1016/j.landurbplan.2012.02.012
   Web of Science ®Google Scholar
• NYCTLC. 2013. 2013 Annual Report. New York: New York City Taxi and Limousine Commission.
   Google Scholar
• Phithakkitnukoon, S., M. Veloso, C. Bento, A. Biderman, and C. Ratti. 2010. “Taxi-aware Map: Identifying and Predicting Vacant Taxis in the City.” Proceedings of the Ambient Intelligence (AmI) Conference, Malaga, pp. 86–95.
   Google Scholar
• Qian, X., and S. V. Ukkusuri. 2015. “Spatial Variation of the Urban Taxi Ridership Using GPS Data.” Applied Geography 59: 31–42. doi: 10.1016/j.apgeog.2015.02.011
   Web of Science ®Google Scholar
• Rose, J. M., and D. A. Hensher. 2014. “Demand for Taxi Services: New Elasticity Evidence.” Transportation 41 (4): 717–743. doi: 10.1007/s11116-013-9482-5
   Web of Science ®Google Scholar
• Schaller, B. 2005. “A Regression Model of the Number of Taxicabs in US Cities.” Journal of Public Transportation 8 (5): 63. doi: 10.5038/2375-0901.8.5.4
   Google Scholar
• Sirisoma, R. M. N. T., S. C. Wong, W. H. Lam, D. Wang, H. Yang, and P. Zhang. 2010. “Empirical Evidence for Taxi Customer-search Model.” Proceedings of the ICE-Transport 163 (4): 203–210.
   Google Scholar
• Stanislav, P., W. Andrew, and A. Zamir. 2014. “Travel Patterns of NYC’s Yellow Cabs: Routing, Activity and Results.” Proceedings of the Esri User Conference, July, San Diego.
   Google Scholar
• Sung, H., and J. T. Oh. 2011. “Transit-oriented Development in a High-density City: Identifying its Association with Transit Ridership in Seoul, Korea.” Cities 28 (1): 70–82. doi: 10.1016/j.cities.2010.09.004
   Web of Science ®Google Scholar
• Szeto, W. Y., R. C. P. Wong, S. C. Wong, and H. Yang. 2013. “A Time-Dependent Logit-based Taxi Customer-search Model.” International Journal of Urban Sciences 17 (2): 184–198. doi: 10.1080/12265934.2013.776292
   Google Scholar
• Taxi & Limousine Commission. 2014. 2014 Taxicab Fact Book. New York: New York City Taxi and Limousine Commission.
   Google Scholar
• Taylor, B. D., and C. N. Fink. 2003. The Factors Influencing Transit Ridership: A Review and Analysis of the Ridership Literature. Berkeley: University of California Transportation Center.
   Google Scholar
• Taylor, B. D., D. Miller, H. Iseki, and C. Fink. 2009. “Nature and/or Nurture? Analyzing the Determinants of Transit Ridership Across US Urbanized Areas.” Transportation Research Part A: Policy and Practice 43 (1): 60–77.
   Web of Science ®Google Scholar
• Veloso, M., S. Phithakkitnukoon, C. Bento, N. Fonseca, and P. Olivier. 2011. “Exploratory Study of Urban Flow Using Taxi Traces.” 1st Workshop on Pervasive Urban Applications (PURBA) in Conjunction with Pervasive Computing, San Francisco.
   Google Scholar
• Wang, W., L. Pan, N. Yuan, S. Zhang, and D. Liu. 2015. “A Comparative Analysis of Intra-city Human Mobility by Taxi.” Physica A: Statistical Mechanics and its Applications 420: 134–147. doi: 10.1016/j.physa.2014.10.085
   Web of Science ®Google Scholar
• Wong, R. C. P., W. Y. Szeto, and S. C. Wong. 2015. “A Two-stage Approach to Modeling Vacant Taxi Movements.” Transportation Research Part C: Emerging Technologies 59: 147–163. doi: 10.1016/j.trc.2015.04.029
   Web of Science ®Google Scholar
• Yang, C., and E. J. Gonzales. 2014. “Modeling Taxi Trip Demand by Time of Day in New York City.” Transportation Research Record: Journal of the Transportation Research Board 2429: 110–120. doi: 10.3141/2429-12
   Web of Science ®Google Scholar
• Yang, H., and S. C. Wong. 1998. “A Network Model of Urban Taxi Services.” Transportation Research Part B: Methodological 32 (4): 235–246. doi: 10.1016/S0191-2615(97)00042-8
   Web of Science ®Google Scholar
• Yuan, J., Y. Zheng, X. Xie, and G. Sun. 2013a. “T-Drive: Enhancing Driving Directions with Taxi Drivers” Intelligence.” IEEE Transactions on Knowledge and Data Engineering 25 (1): 220–232. doi: 10.1109/TKDE.2011.200
   Web of Science ®Google Scholar
• Yuan, N. J., Y. Zheng, L. Zhang, and X. Xie. 2013b. “T-Finder: A Recommender System for Finding Passengers and Vacant Taxis.” IEEE Transactions on Knowledge and Data Engineering 25 (10): 2390–2403. doi: 10.1109/TKDE.2012.153
   Web of Science ®Google Scholar
• Yuan, J., Y. Zheng, L. Zhang, X. Xie, and G. Sun. 2011. “Where to Find My Next Passenger.” Proceedings of the 13th International Conference on Ubiquitous Computing (Ubicomp’ 11), Beijing, September, pp. 109–118.
   Google Scholar
• Zhang, J. 2012. “Smarter Outlier Detection and Deeper Understanding of Large-scale Taxi Trip Records: a case study of NYC.” Proceedings of the ACM SIGKDD International Workshop on Urban Computing, New York, August, pp. 157–162.
   Google Scholar