Modeling urban taxi services with e-hailings: A queueing network approach

Zhang, Wenbo; Honnappa, Harsha; Ukkusuri, Satish V.

doi:10.1016/j.trc.2019.05.036

Cited by 21 publications

(9 citation statements)

References 29 publications

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“…Uncertainty will be the main barrier against using taxis as a transport mode [45]. Zhang et al established a queuingbased SM/M/1 modeling structure to estimate passenger-vehicle matching time in the new taxi system [47]. Zhang et al proposed that taxi-coming probability was an important taxi availability index influencing the customers' satisfaction, in which the probability of taxicoming was assumed to satisfy the Poisson distribution [46].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, taxi drivers' aimless driving path and passengers' arrival randomness will result in an uncertain passenger waiting time [46]. Two assumptions are defined to calculate expected passenger waiting time: (1) The passenger and vacant taxi arrival processes are Poisson processes and that the service times are exponentially distributed [47]; (2) passengers and vehicles are matched on a first-come-first-served (FCFS) basis in the taxi system [47]. Thereby, this paper utilizes the simple M/M/1 queue, which belongs to queuing theoretic approaches, to estimate expected passenger waiting time (wt i ) in each spatial unit i in different time intervals of the day.…”

Section: Dynamic Taxi-based Potential Accessibility Measurementioning

confidence: 99%

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Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data

Huang

Liu

et al. 2020

Sustainability

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Accessibility has attracted wide interest from urban planners and transportation engineers. It is an important indicator to support the development of sustainable policies for transportation systems in major events, such as the COVID-19 pandemic. Taxis are a vital travel mode in urban areas that provide door-to-door services for individuals to perform urban activities. This study, with taxi trajectory data, proposes an improved method to evaluate dynamic accessibility depending on traditional location-based measures. A new impedance function is introduced by taking characteristics of the taxi system into account, such as passenger waiting time and the taxi fare rule. An improved attraction function is formulated by considering dynamic availability intensity. Besides, we generate five accessibility scenarios containing different indicators to compare the variation of accessibility. A case study is conducted with the data from Shenzhen, China. The results show that the proposed method found reduced urban accessibility, but with a higher value in southern center areas during the evening peak period due to short passenger waiting time and high destination attractiveness. Each spatio-temporal indicator has an influence on the variation in accessibility.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Dynamic Taxi-based Potential Accessibility Measurementioning

confidence: 99%

Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data

Huang

Liu

et al. 2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…e design and algorithms of matching and scheduling models act as bottlenecks in related research. Zhang, W. et al proposed the spatial wide equilibrium model to solve the empty car matching problem [10]. Mark et al proposed a model on real-time dispatching for a fleet of demand-responsive passenger vehicles such as taxis or variably routed buses [11].…”

Section: Introductionmentioning

confidence: 99%

Integrated Optimization Strategy for Sustainable Shared Designated Driver Ferry Vehicle Scheduling

Wang

Yin

Khan

2021

Journal of Advanced Transportation

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The focus of this study is on optimizing the schedule adjustment scheme of shared designated driver ferry vehicles to obtain a sustainable and energy-efficient system to pick up and drop off designated drivers to serve drunk customers. A two-stage matching model for driver and customer supply and demand matching and driver ferry vehicle dispatching is designed in order to optimize the total distance travelled and minimize the generalized deviation costs. A maximum residual time adjustment algorithm is designed to reduce the logarithm of new interference demand, and a tabu search algorithm is used to solve the schedule adjustment scheme for ferry vehicles. The validity of the model and the algorithm is verified by a multiperiod example constructed in the Solomon test question bank. The result of numerical experiments shows that the proposed model and algorithm can solve the disruption adjustment scheduling strategy of shared designated driver ferry vehicles. The integrated optimization strategy can effectively improve the utilization rate and the operation efficiency of the shared driver ferry vehicles to reduce operation cost and energy consumption.

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“…To address these problems, different work schemes and their regulation have been adopted with varying degrees of success, implementing the MTBAs to provide better quality services to passengers and entirely in tune with market changes (Hamzah et al, 2018;Weng et al, 2017) being proposed for their applicability in taxis in many countries (Ge et al, 2020;Nguyen-Phuoc et al, 2020;Wang et al, 2016;Ye et al, 2018;Zhang, Honnappa & Ukkusuri, 2020).…”

Section: Introductionmentioning

confidence: 99%

Quality and Use of Mobile Applications for Transportation Service: Influence on Satisfaction

Preciado-Ortiz¹

2021

MYN

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The main objective of this research work was to analyze the factors that influence satisfaction and the intention to continue with the use of mobile transport applications in young university students from Guadalajara, Jalisco, Mexico. The approach was quantitative. 144 valid responses were used, and partial least squares structural equation modeling (PLS-SEM) was used to test the model. The software employing was the SmartPLS 3. The results indicate that the quality of the design, the quality of the information and the quality of the system are predictors of influence on satisfaction. Companies that offer individual passenger transport through a mobile application have increased in recent years, generating strong competition both between existing brands and with established traditional taxis. This study provides new and recent information for marketing managers and academics on application user behavior in the transportation industry.

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Modeling urban taxi services with e-hailings: A queueing network approach

Cited by 21 publications

References 29 publications

Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data

Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data

Integrated Optimization Strategy for Sustainable Shared Designated Driver Ferry Vehicle Scheduling

Quality and Use of Mobile Applications for Transportation Service: Influence on Satisfaction

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