Unifying Uber and taxi data via deep models for taxi passenger demand prediction
Sign Up to like & getrecommendations! Published in 2020 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-020-01426-y
Abstract: Taxi passenger demand prediction is of great significance to perceive citywide human mobility and make a lot of urban sensing applications more convenient. There are two major challenges to develop accurate predictive models, i.e., the… read more here.
Keywords: passenger demand; demand prediction; taxi; prediction ... See more keywords
New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC)
Sign Up to like & getrecommendations! Published in 2019 at "Transportation"
DOI: 10.1007/s11116-017-9787-x
Abstract: Taxi trips have been somewhat neglected in transportation mobility and multimodal connection studies. The socio-demographic characteristics of taxi riders are often not fully revealed and the relationship between the taxi and fixed-route public transportation has… read more here.
Keywords: taxi transit; taxi trips; multimodal connection; taxi ... See more keywords
Hailing a change: comparing taxi and ridehail service quality in Los Angeles
Sign Up to like & getrecommendations! Published in 2020 at "Transportation"
DOI: 10.1007/s11116-020-10086-z
Abstract: For decades, taxis have provided for-hire vehicle service without significant competition from other modes. But in 2012, ride-hail services such as Uber and Lyft upended the taxi business model by connecting riders to drivers through… read more here.
Keywords: ride hailing; los angeles; ride; taxi ... See more keywords
Value of foreknowledge in the online k-taxi problem
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0489-4
Abstract: This paper investigates the online k-taxi problem with a new feature that partial information about future service requests is provided in advance when deciding which taxi should be dispatched to serve the current request, whereas… read more here.
Keywords: taxi; foreknowledge online; taxi problem; online taxi ... See more keywords
Introducing a Model of Urban Taxi Driver’s Offenses
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Civil Engineering"
DOI: 10.1007/s40999-018-0378-9
Abstract: The aim of this study is to investigate the unsafe behavior of taxi drivers as a large group of professional drivers and the factors affecting driving violations occurring in Tehran. For this goal, the data… read more here.
Keywords: taxi; engine power; urban taxi; taxi drivers ... See more keywords
The economic impact of Transportation Network companies on the traditional taxi Sector: An empirical study in Spain
Sign Up to like & getrecommendations! Published in 2020 at "Case studies on transport policy"
DOI: 10.1016/j.cstp.2020.02.002
Abstract: Abstract Transportation Network Companies (TNCs), also referred to as ride-sharing or app-based on-demand ride services, have gained momentum. The phenomenon has created debate in the media and faced heated reactions from the traditional taxi sector.… read more here.
Keywords: transportation network; impact; taxi sector; taxi ... See more keywords
Revealing intra-urban travel patterns and service ranges from taxi trajectories
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Transport Geography"
DOI: 10.1016/j.jtrangeo.2017.04.009
Abstract: As an important transport tool, taxi plays a significant role to meet travel demand in urban city. Understanding the travel patterns of taxis is important for addressing many urban sustainability challenges. Previous research has primarily… read more here.
Keywords: service ranges; intra urban; travel patterns; taxi ... See more keywords
Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Transport Geography"
DOI: 10.1016/j.jtrangeo.2021.103172
Abstract: Abstract With the advance of intelligent transportation systems (ITSs) and data acquisition systems (DASs), it becomes possible in recent to explore the determinants of urban taxi ridership using multi-source heterogeneous data. This paper aims to… read more here.
Keywords: built environment; taxi ridership; urban taxi; taxi ... See more keywords
An intelligent method for dynamic distribution of electric taxi batteries between charging and swapping stations
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2020.102605
Abstract: Abstract Taxis are often motivated to drive in crowded areas to earn more money by serving customers. Clean taxicab fleets in cities will have a significant impact on reducing air pollution and cutting emissions. Use… read more here.
Keywords: electric taxi; ahead policy; taxi; look ahead ... See more keywords
Workplace stress as predictor of risky driving behavior among taxi drivers. The role of job-related affective state and taxi driving experience
Sign Up to like & getrecommendations! Published in 2019 at "Safety Science"
DOI: 10.1016/j.ssci.2018.07.020
Abstract: Abstract This study evaluated the relationships between the workplace conflicts and risky driving behavior in a sample of taxi drivers. We also investigated the mediational role of job-related affective state in the relationships between the… read more here.
Keywords: risky driving; job related; taxi; workplace ... See more keywords
Optimize taxi driving strategies based on reinforcement learning
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2018.1458984
Abstract: ABSTRACT The efficiency of taxi services in big cities influences not only the convenience of peoples’ travel but also urban traffic and profits for taxi drivers. To balance the demands and supplies of taxicabs, spatio-temporal… read more here.
Keywords: based reinforcement; taxi; driving strategies; reinforcement learning ... See more keywords