Spatial welfare effects of shared taxi operating policies for first mile airport access

Ma, Ziyi; Urbanek, Matthew; Pardo, Maria Alejandra; Chow, Joseph Y.J.; Lai, Xuebo

doi:10.1016/j.ijtst.2017.07.001

Cited by 18 publications

(11 citation statements)

References 32 publications

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“…Our study considers mainly two commute modes for airport transfers i.e., ground service and aerial service (i.e., air taxi). This is in line with the findings from a study by Ma et al (2017) which observed taxi mode comprising 65% of airport access trips. In general, an individual's choice of travel mode (to a destination) is greatly influenced by travel time and price of the mode.…”

Section: B Problem Formulationsupporting

confidence: 92%

Air Taxi Skyport Location Problem for Airport Access

Rath,

Chow

2019

Preprint

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We consider design of skyport locations for air taxis accessing airports and adopt a novel use of the classic hub location problem to properly make trade-offs on access distances for travelers to skyports from other zones, which is shown to reduce costs relative to a clustering approach from the literature. Extensive experiments on data from New York City show the method outperforms the benchmark clustering method by more than 7.4% here. Results suggest that six skyports located between Manhattan and Brooklyn can adequately serve the airport access travel needs and are sufficiently stable against travel time or transfer time increases.

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Section: B Problem Formulationsupporting

confidence: 92%

Air Taxi Skyport Location Problem for Airport Access

Rath,

Chow

2019

Preprint

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“…The concept has evolved in more recent times in many research domains. For example, the concept is becoming popular as car sharing (Bellos et al, 2017), taxi sharing (Ma et al, 2017) and bike sharing (Cheng and Lin, 2018). Being motivated by those applications of the "Sharing" idea, the study by Islam et al (2013) extends the application of the concept in addressing the empty trips problem, and hence, suggests the truck-sharing idea.…”

Section: Truck-sharing Ideamentioning

confidence: 99%

Minimization of empty container truck trips: insights into truck-sharing constraints

Islam

Shi

Ahmed

et al. 2019

IJLM

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Purpose The issue of empty truck trips is largely ignored in the current literature. In order to cover this important research gap, the purpose of this paper is to explore, describe, categorize and rank the potential truck-sharing constraints for container trucks traveling empty around the port gates. Design/methodology/approach In order to contribute empirically to the current body of knowledge and understandings of truck-sharing constraints, this paper adopts a multi-method empirical approach involving both qualitative interviews and quantitative questionnaire surveys. Findings Among many key constraints that influence the future of truck-sharing opportunities, the authors determine, for example, that a carrier’s ability to earn the trust of its competitors is one of the top most important factors of success for a fruitful truck-sharing event. The problem is, perhaps, further complicated because of the increasing competitive environment in the container transport industry, as well as the lack of effective coordination between the key parties involved. Research limitations/implications None of the earlier studies has provided a broad understanding and ranking of the truck-sharing constraints that should be considered in truck-sharing events, although the empty trips issue has been limitedly mentioned in the recent academic literature. Practical implications Empty truck trips are wasted miles. Wasted empty miles decrease transport capacity in the container distribution chain along with causing an increase in carbon emission, traffic congestion, fuel consumption and environmental pollution. The research results can be used by policy makers to underpin effective measures to prevent the low utilization of trucks. Originality/value This study addresses an important gap. To the authors’ knowledge, this is the first study in the area that ranks truck-sharing constraints to reduce empty trucks trips.

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“…The choice of access modes is influenced by many factors, including access time, access distance, demographic, and cost [26][27][28]. The quality of access mode has a significant impact on the service level of air travels, and taxi is an important mode to access airports [29]. The emerging taxi Global Positioning System (GPS) trip datasets provide the opportunity to extract travel patterns for a particular region [30].…”

Section: Introductionmentioning

confidence: 99%

“…The emerging taxi Global Positioning System (GPS) trip datasets provide the opportunity to extract travel patterns for a particular region [30]. The airport travel modal share for taxis ranges between 6% and 35% for major airports in the US, the UK, and Japan [29][30][31] The blue point denotes the airport terminal, the black point is the railway station, the red point denotes the center business district, and the cyan point is the large residential area.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Intermodal Relationship between Taxi and Subway in Beijing, China

Jiang

Guan

et al. 2018

Journal of Advanced Transportation

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Taxi is an indispensable mode in the urban public transportation. Although many studies have explored the travel patterns of taxi trips, few have combined taxi and subway to reveal their intermodal relationship. To bridge the gap, this study utilized taxi's trajectory data to investigate its relationship with subway. Considering the multifaceted relationship between taxi and subway in operation, taxi trips are categorized into three types, namely, subway-competing, subway-extending, and subwaycomplementing taxi trips. The characteristics of each type of taxi trips reflect the specialties and their interactions with subway. The origin/destination distributions of taxi and subway trips are compared and analyzed. Furthermore, the supply and demand of taxi within the buffer zone of each subway station are analyzed to reflect the difficulty of hailing taxis. The negative binomial regression models are used to explore the relationship between taxi trips and subway ridership. The results show that there is a significantly positive correlation between taxi trips and subway ridership.

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Spatial welfare effects of shared taxi operating policies for first mile airport access

Cited by 18 publications

References 32 publications

Air Taxi Skyport Location Problem for Airport Access

Air Taxi Skyport Location Problem for Airport Access

Minimization of empty container truck trips: insights into truck-sharing constraints

Exploring the Intermodal Relationship between Taxi and Subway in Beijing, China

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