Transport habits of travelers using new energy type modes: A random parameters hazard-based approach of travel distance
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Adel W. Sadek | Matthew G. Karlaftis | Grigorios Fountas | Tawfiq Sarwar | Panagiotis Ch. Anastasopoulos | A. Sadek | M. Karlaftis | Grigorios Fountas | Tawfiq Sarwar
[1] Mei-Po Kwan,et al. Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set , 2000 .
[2] Tawfiq Sarwar,et al. Safety-oriented pavement performance thresholds: Accounting for unobserved heterogeneity in a multi-objective optimization and goal programming approach , 2016 .
[3] C. Bhat. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .
[4] Simon Washington,et al. The impact of mobile phone distraction on the braking behaviour of young drivers : a hazard-based duration model , 2014 .
[5] David M Levinson,et al. Valuation of travel time reliability from a GPS-based experimental design , 2013 .
[6] Brendan J. Russo,et al. Comparison of factors affecting injury severity in angle collisions by fault status using a random parameters bivariate ordered probit model , 2014 .
[7] John E. Haddock,et al. Analysis of Urban Travel Times: Hazard-Based Approach to Random Parameters , 2012 .
[8] Jiaqiu Wang,et al. Local online kernel ridge regression for forecasting of urban travel times , 2014 .
[9] Eric Horvitz,et al. Predicting Travel Time Reliability using Mobile Phone GPS Data , 2017 .
[10] Marta C. González,et al. Origin-destination trips by purpose and time of day inferred from mobile phone data , 2015 .
[11] Dinesh Gopinath,et al. Travel demand model system for the information era , 1996 .
[12] Hjp Harry Timmermans,et al. Costs of Travel Time Uncertainty and Benefits of Travel Time Information: Conceptual Model and Numerical Examples , 2006 .
[13] Vikash V. Gayah,et al. Using survival models to estimate bus travel times and associated uncertainties , 2017 .
[14] Constantinos Antoniou,et al. Public transit user satisfaction: Variability and policy implications , 2008 .
[15] Matthew G. Karlaftis,et al. Weather impact on containership routing in closed seas: A chance-constraint optimization approach , 2015 .
[16] Fred L Mannering,et al. A note on modeling vehicle accident frequencies with random-parameters count models. , 2009, Accident; analysis and prevention.
[17] Fred L Mannering,et al. An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data. , 2011, Accident; analysis and prevention.
[18] Camille Kamga,et al. Temporal and weather related variation patterns of urban travel time: Considerations and caveats for value of travel time, value of variability, and mode choice studies , 2014 .
[19] Jonas Eliasson,et al. Activity-based model development to support transport planning in the Stockholm region , 2001 .
[20] Alejandro Tirachini,et al. Estimation of travel time and the benefits of upgrading the fare payment technology in urban bus services , 2013 .
[21] Panagiotis Ch. Anastasopoulos,et al. Hazard-Based Analysis of Travel Distance in Urban Environments: Longitudinal Data Approach , 2012 .
[22] Matthew J. Roorda,et al. Comparison of Parametric and Nonparametric Hazard Models for Stop Durations on Urban Tours with Commercial Vehicles , 2012 .
[23] Feixiong Liao,et al. Modeling duration choice in space–time multi-state supernetworks for individual activity-travel scheduling , 2016 .
[24] Satish V. Ukkusuri,et al. A statistical analysis of the dynamics of household hurricane-evacuation decisions , 2018 .
[25] K. Train. Discrete Choice Methods with Simulation , 2003 .
[26] Saeid Nahavandi,et al. A genetic algorithm-based method for improving quality of travel time prediction intervals , 2011 .
[27] Fred L. Mannering,et al. The effect of speed limits on drivers' choice of speed: A random parameters seemingly unrelated equations approach , 2016 .
[28] Panagiotis Ch. Anastasopoulos. Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis , 2016 .
[29] Yinghui Wu,et al. A stochastic optimization model for transit network timetable design to mitigate the randomness of traveling time by adding slack time , 2015 .
[30] Ta Theo Arentze,et al. Incorporating time and income constraints in dynamic agent-based models of activity generation and time use: approach and illustration , 2010 .
[31] Chandra R. Bhat,et al. A continuous-time model of departure time choice for urban shopping trips , 2002 .
[32] Fred L. Mannering,et al. Occurence, frequency, and duration of commuters' work-to-home departure delay , 1990 .
[33] Satish V. Ukkusuri,et al. A random-parameter hazard-based model to understand household evacuation timing behavior , 2013 .
[34] Vinayak Dixit,et al. A Spatial Hazard-Based analysis for modelling vehicle selection in station-based carsharing systems , 2016 .
[35] Fred L. Mannering,et al. Analysis of Pavement Overlay and Replacement Performance Using Random Parameters Hazard-Based Duration Models , 2015 .
[36] S. Washington,et al. Statistical and Econometric Methods for Transportation Data Analysis , 2010 .
[37] Susan L Handy,et al. How the built environment affects physical activity: views from urban planning. , 2002, American journal of preventive medicine.
[38] Md. Khaledur Rahman,et al. Transit network design by genetic algorithm with elitism , 2014 .
[39] Kara M. Kockelman,et al. Travel Behavior as Function of Accessibility, Land Use Mixing, and Land Use Balance: Evidence from San Francisco Bay Area , 1997 .
[40] Yuhong Wang,et al. Survival Analysis of Fatigue Cracking for Flexible Pavements Based on Long-Term Pavement Performance Data , 2005 .
[41] Fred L Mannering,et al. A study of factors affecting highway accident rates using the random-parameters tobit model. , 2012, Accident; analysis and prevention.
[42] J. Heckman,et al. A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data , 1984 .
[43] Samer Madanat,et al. Perception updating and day-to-day travel choice dynamics in traffic networks with information provision , 1998 .
[44] Barry Wellman,et al. Are personal communities local? A Dumptarian reconsideration☆ , 1996 .
[45] Hani S. Mahmassani,et al. A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times , 2014 .
[46] Debbie A. Niemeier,et al. Duration of trip-making activities by men and women , 1996 .
[47] David M Levinson,et al. Axis of travel: Modeling non-work destination choice with GPS data , 2015 .
[48] Said M. Easa,et al. Integrated modeling of urban shopping activities , 1998 .
[49] Xuewen Lu,et al. Studying Differences of Household Weekday and Weekend Activities , 2008 .
[50] Woodrow Barfield,et al. Statistical analysis of commuters' route, mode, and departure time flexibility , 1994 .
[51] M. Abdel-Aty,et al. A correlated random parameter approach to investigate the effects of weather conditions on crash risk for a mountainous freeway , 2014 .
[52] Simon Washington,et al. Modelling the impact of traffic incidents on travel time reliability , 2016 .
[53] Shing Chung Josh Wong,et al. Road Network Equilibrium Approaches to Environmental Sustainability , 2012 .
[54] Chandra R. Bhat,et al. Modeling the Influence of Family, Social Context, and Spatial Proximity on Use of Nonmotorized Transport Mode , 2011 .
[55] C. Gouriéroux,et al. PSEUDO MAXIMUM LIKELIHOOD METHODS: THEORY , 1984 .
[56] Fred L. Mannering,et al. HAZARD-BASED DURATION MODELS AND THEIR APPLICATION TO TRANSPORT ANALYSIS. , 1994 .
[57] Ruimin Li,et al. Incorporating uncertainty into short-term travel time predictions , 2011 .
[58] Brigitte S. Waldorf,et al. Spatial Patterns and Processes in a Longitudinal Framework , 2003 .
[59] Ernesto Cipriani,et al. Transit network design with allocation of green vehicles: A genetic algorithm approach , 2009 .
[60] Chung-Cheng Lu,et al. A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction , 2011 .
[61] Konstantinos Gkiotsalitis,et al. Joint leisure travel optimization with user-generated data via perceived utility maximization , 2016 .
[62] H. J. Van Zuylen,et al. Accurate freeway travel time prediction with state-space neural networks under missing data , 2005 .
[63] M. Fosgerau,et al. Valuing travel time variability: Characteristics of the travel time distribution on an urban road , 2012 .