Page 146 - Proceeding of Atrans Young Researcher's Forum 2019_Neat
P. 146
“Transportation for A Better Life:
Smart Mobility for Now and Then”
23 August 2019, Bangkok, Thailand
prediction and insurance fraud detection,” 2015 on travel mode choice considering the mediating
IEEE Int. Conf. Comput. Comput. Res. ICCIC, 2016. effects of car ownership and travel distance,”
[27] M. A. Jabbar, B. L. Deekshatulu, and P. Chndra, Transp. Res. Part Policy Pract., vol. 100, pp. 65–80,
“Alternating decision trees for early diagnosis of 2017.
heart disease,” Int. Conf. Circuits Commun. Control [41] D. B. Hess, “The Effects of Free Parking on
Comput., 2015. Commuter Mode Choice: Evidence from Travel
[28] M. M. Adankon and M. Cheriet, “Model Diary Data,” 2010.
selection for the LS-SVM. Application to [42] D. H. Rowe, C.-H. C. Bae, and Q. Shen,
handwriting recognition,” Pattern Recognit., vol. 42, “Evaluating the Impact of Transit Service on Parking
pp. 326–3270, 2009. Demand and Requirements,” Transp. Res. Rec. J.
[29] G. Rubio, H. Pomares, I. Rojas, and L. J. Transp. Res. Board, vol. 2245, no. 2245, pp. 56–62,
Herrea, “A heuristic method for parameter selection 2012.
in LS-SVM: Application to time series prediction,” [43] S. A. H. Zahabi, Luis. F. Miranda-Moreno, and
Int. J. Forecast., vol. 27, pp. 725–739, 2011. Z. Patterson, “Evaluating the effects of land use and
[30] W.-H. Chen, S.-H. Hsu, and H.-P. Sheng, strategies for parking and transit supply on mode
“Application of SVM and ANN for intrusion choice of downtown commuters,” J. Transp. Land
detection,” Comput. Oper. Res., vol. 32, pp. 2617– Use, vol. 5, no. 2, pp. 103–119, 2012.
2634, 2005. [44] M. Torres-montoya, “The Impact of Parking
[31] Y.-D. Cai, P.-W. Ricardo, C.-H. Jen, and K.-C. Pricing and Transit Fares on Mode Choice to a Major
Chou, “Application of SVM to predict membrane University Campus,” no. January, pp. 1–15, 2014.
protein types,” J. Theor. Biol., vol. 266, pp. 373– [45] C.-T. Chang, C.-K. Chung, J.-B. Sheu, Z.-Y.
376, 2004. Zhuang, and H.-M. Chen, “The optimal dual-pricing
[32] M. J. White, “a Model of Residential Location policy of mall parking service,” Transp. Res. Part
Choice and Commuting By Men and Women Policy Pract., vol. 70, pp. 223–243, 2014.
Workers,” J. Reg. Sci., vol. 17, no. 1, pp. 41–52, [46] A. Glazer and E. Niskanen, “Parking fees and
1977. congestion,” Reg. Sci. Urban Econ., vol. 22, no. 1,
[33] B. Brown, “Modal choice, location demand, and pp. 123–132, 1992.
income,” J. Urban Econ., vol. 20, no. 2, pp. 128– [47] J. A. Kelly and J. P. Clinch, “Temporal variance
139, 1986. of revealed preference on-street parking price
[34] J. S. DeSalvo and M. Huq, “Mode choice, elasticity,” Transp. Policy, vol. 16, no. 4, pp. 193–
commuting cost, and urban household behavior,” J. 199, Aug. 2009.
Reg. Sci., vol. 45, no. 3, pp. 493–517, 2005. [48] F. Caicedo, “Charging parking by the minute:
[35] K. Sasaki, “Income class, modal choice, and What to expect from this parking pricing policy?,”
urban spatial structure,” J. Urban Econ., vol. 27, no. Transp. Policy, vol. 19, no. 1, pp. 63–68, Jan. 2012.
3, pp. 322–343, 1990. [49] J. R. Quinlan, “Induction of decision trees,”
[36] Z. Guo, “Home parking convenience, Mach. Learn., vol. 1, no. 1, pp. 81–106, Mar. 1986.
household car usage, and implications to residential [50] L. Breiman, “Bagging predictors,” Mach.
parking policies,” in Transport Policy, vol. 29, Learn., vol. 24, pp. 123–140, 1996.
Elsevier, 2013, pp. 97–106. [51] V. Vapnik, Statistical Learning Theory. Wiley,
[37] L. B??cker, M. Dijst, and J. Faber, “Weather, 1998.
transport mode choices and emotional travel [52] C. CORTES and V. VAPNIK, “Support-Vector
experiences,” Transp. Res. Part Policy Pract., vol. Networks,” Mach. Learn., vol. 20, pp. 273–297,
94, pp. 360–373, 2016. 1995.
[38] M. Zou et al., “An agent-based choice model for [53] T. Evgeniou and M. Pontil, “WORKSHOP ON
travel mode and departure time and its case study in SUPPORT VECTOR MACHINES: THEORY AND
Beijing,” Transp. Res. Part C Emerg. Technol., vol. APPLICATIONS.” Center for Biological and
64, pp. 133–147, 2016. Computational Learning, and Artificial Intelligence
[39] S. Park, “Defining, Measuring, and Evaluating Laboratory, MIT, E25-201, Cambridge, MA 02139,
Path Walkability, and Testing Its Impacts on Transit USA, 2001.
Users’ Mode Choice and Walking Distance to the [54] G. Wahba, “An Introduction to Reproducing
Station,” PhD Thesis, 2008. Kernel Hilbert Spaces and Why They are So
[40] C. Ding, D. Wang, C. Liu, Y. Zhang, and J. Useful.” Department of Statistics University of
Yang, “Exploring the influence of built environment Wisconsin-Madison, 1990.
121