PPT-Transit Path Choice Model Using Smart Card Data

A Logit Model for Transit Path Choice Behavior Alireza Khani Neema Nassir Sang Gu Lee Hyunsoo Noh and Mark Hickman The University of Arizona Tucson AZ 13 th TRB National Planning Applications . Visit www511sdcomcompass 972 973 978 979 Sorrento Mesa Sorrento Valley COASTER Station COASTER CONNECTION Carroll Canyon Torrey Pines North University City Effective JUNE 8 2014 Oceanside San Diego Morning AM AfternoonEvening PM Oceanside 600a 641a William Greene. Stern School of Business. New York University. Part 7-1. Latent Class Models. Discrete Parameter Heterogeneity. Latent Classes. Latent Class Probabilities. Ambiguous – Classical Bayesian model?. William Greene. Stern School of Business. New York University. Part 11. Modeling Heterogeneity. Several Types of Heterogeneity. Observational: Observable differences across. choice makers. Choice strategy: How consumers make. Weibit. Stochastic User Equilibrium Model. Songyot. . Kitthamkesorn. Department of Civil & Environmental Engineering. Utah State University. Logan, UT 84322-4110, USA. Email: . songyot.k@aggiemail.usu.edu. Association for Commuter Transportation of Canada. Sustainable Mobility Summit 2012. Suzanne Charbonneau, P. Eng.. Transportation . Engineer. scharbonneau@dillon.ca. , 416-229-4647 . ext.2440. Brian Shifman BA Hons., P.R. Cert. . UHCL Capstone Team 6. Michael Woodruff. Raymond . Nnodim. Faisal . Moiz. Presentation Outline. Background. Requirements. User interface. Data model. Communications model. Q and A. Background. Johnson Space Center security access. (A . Logit. Model for Transit Path Choice Behavior). Alireza Khani, . Neema. Nassir, Sang . Gu. Lee, . Hyunsoo. Noh, and Mark Hickman. The University of Arizona, Tucson, AZ. 13. th. TRB National Planning Applications . June . 3. th. , 2015. 1. Today’s Agenda. Work plan progress report.. GTAModel. . V4.0 update. Surface transit speed updating. GTAModel. V4.0 Workshop. Other . Business. Adjournment. 2. Work Plan. Secured. . NFC Payment. KONA I. Who We Are?. Sazzadur Rahaman. Software . Engineer and Team Lead . @ KONA SL. Image Source: http://the9gag.com/top-rated/4am-programmer-room-4440. Who We Are?. Md. Sanoar Hossain Khan. Jason Pavluchuk . Director, Public Policy & Government Affairs. March 2016. ACT’s Vision of a Smart City. 20. th. Century transport. Capital dominated . Publically planned, owned & operated. Dongwoo Lee. University of Illinois at Chicago . CSUN (Complex and Sustainable Urban Networks Laboratory). Contents. Concept. Data . Methodologies. Analytical Process. Results. Limitations and Conclusion. Smart Phone Fare Payment. Ed Park. Transit Planner. Smart Phone Fare Payment. Smart Phones vs Smart Cards. Smart Phone Fare Payment. Smart Cards. Pros:. Reloadable. Fast boarding. Can purchase with cash. Discrete Choice Modeling William Greene Stern School of Business New York University Part 2 Estimating and Using Binary Choice Models Agenda A Basic Model for Binary Choice Specification Maximum Likelihood Estimation Kumar K. What is a Smart Card?. Plastic Card.. Microchip loaded with data.. Uses - telephone calling, electronic card payment.. Can be refreshed for further use.. Smart Cards can be used with a . Smart-.