Characterization of Taxi Fleet Operational Networks and Vehicle Efficiency: Chicago Case Study
暂无分享,去创建一个
[1] Xi Liu,et al. Revealing daily travel patterns and city structure with taxi trip data , 2013, ArXiv.
[2] Kara M. Kockelman,et al. The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .
[3] S. Ukkusuri,et al. Measuring the Efficiency of Urban Taxi Service System , 2014 .
[4] S. Ukkusuri,et al. Spatial variation of the urban taxi ridership using GPS data , 2015 .
[5] Satish V. Ukkusuri,et al. A Graph-Based Approach to Measuring the Efficiency of an Urban Taxi Service System , 2016, IEEE Transactions on Intelligent Transportation Systems.
[6] Hani S. Mahmassani,et al. A complex network perspective for characterizing urban travel demand patterns: graph theoretical analysis of large-scale origin–destination demand networks , 2017 .
[7] Feixiong Liao,et al. Effects of land-use transport scenarios on travel patterns: a multi-state supernetwork application , 2015, Transportation.
[8] Y. Nie. How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China , 2017 .
[9] Hani S. Mahmassani,et al. Taxonomy of Shared Autonomous Vehicle Fleet Management Problems to Inform Future Transportation Mobility , 2017 .
[10] Brian McManus,et al. Learning by Driving: Productivity Improvements by New York City Taxi Drivers , 2014 .
[11] Eric J. Gonzales,et al. Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data , 2017 .
[12] David A. King,et al. Spatial regulation of taxicab services: Measuring empty travel in New York city , 2018 .