Modeling the Taxi Drivers’ Customer-Searching Behaviors outside Downtown Areas

Modeling Social Information Learning among Taxi Drivers

Modeling the behavior of disordered taxi drivers of Tehran for choosing passenger and destination

In this study, the manner of private taxis drivers has been investigated for choosing passenger and destination from a fixed point. Therefore, two models called Multinomial and Nested Logit Models have been utilized. The information gained by scrolling in 2016 is the input data, which are in the format of revealed preference, acquired by the verbal interview in Vanak Square in Tehran (Iran). Ba...

The Impact of Fuel Efficiency Improvement on Driving Behaviors of NYC Taxi Drivers

Fuel efficiency has improved because of environmental policies and high gas prices. In most cases, increased vehicle usage is associated with negative outcomes because of potentially increasing emissions. In the New York City (NYC) taxi industry, however, increased vehicle usage corresponds to increased supply, which is meaningful because of limited the numbers of permissions and the fixed fare...

Title : ANALYSIS OF TAXI DRIVERS ? DRIVING BEHAVIORS BASED ON A DRIVING SIMULATOR

Due to comfort, convenience, and flexibility, taxis become more and more prevalent in China, especially in large cities. As reported by Beijing Traffic Development Research Center, there were 696 million taxi person-rides in Beijing in 2011. However, many violations and road crashes that were related to taxi drivers occurred more frequently. According to the survey, there were a total of 17,242...

Preventing Assaults on Taxi Drivers in Australia

ISSN 0817-8542 ISBN 0 642 24203 8 There is a range of preventive strategies that can reduce the risk of assaults on taxi drivers, including technological interventions, training, and policy changes. A combination of technical interventions, including protective screens, Global Positioning Systems, cameras, cashless payment systems, two-way radios, alarms, flashing emergency lights, and policy i...