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Journal articles on the topic 'Taxi sharing'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Miksa, Wojciech G. "Air Taxi Flight Sharing." Transactions on Aerospace Research 2020, no. 3 (2020): 49–63. http://dx.doi.org/10.2478/tar-2020-0016.

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AbstractIn traditional air taxi model, flight route and timing are assigned to every order individually, resulting in minimum utilization of seats, maximum number of empty legs and elevated price levels. Sharing flights, when possible, allow decreasing number of empty seats and distributing cost of flight among customers. Challenges to overcome are varying timing needs of customers and volatility of demand. This article investigates possibilities of synchronizing passenger orders. The proposed passenger pooling model replaces specific flight timing on order with constraints: latest arrival and

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Lyu, Yan, Victor C. S. Lee, Chi-Yin Chow, Joseph Kee-Yin Ng, Yanhua Li, and Jia Zeng. "R-Sharing: Rendezvous for Personalized Taxi Sharing." IEEE Access 6 (2018): 5023–36. http://dx.doi.org/10.1109/access.2017.2778221.

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Nikit, Sonule, M.S. Khatib Prof., and Farhenna Shaikh Prof. "Implementation of Real Time Taxi Ride Sharing." International Journal of Trend in Scientific Research and Development 2, no. 3 (2019): 891–95. https://doi.org/10.31142/ijtsrd11171.

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This Project is designed to create a Real time taxi ride Sharing Application. It works by accepting a real time ride requests from the passengers sent through smartphones and schedules proper taxis to pick them up via ridesharing. The monetary constraints of the application are to provide benefits for both passengers and taxi drivers, passengers pay less amount compared with no ridesharing and get compensated if their travel time is lengthened due to ridesharing, taxi drivers will make money for all the detour distance due to ridesharing. This paper gives an overview of the taxi sharing servic

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Zhang, Xijun, Qirui Zhang, Zhanting Yuan, Chenhui Wang, and Lijuan Zhang. "The Research on Planning of Taxi Sharing Route and Sharing Expenses." Mathematical Problems in Engineering 2020 (February 14, 2020): 1–9. http://dx.doi.org/10.1155/2020/6348578.

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Aiming at the problem of taxi low carrying rate, unreasonable route planning, and taxi charges, this paper mainly studies the taxi sharing routes and the sharing expense model which take the maximum carrying rate, the shortest driving distance, and the sharing expense of drivers as the objective function. We consider the problems of taxi capacity limitation, the driving distance limitation, the number of people getting on and off, and the charges. Through using the passenger’s pool to classify passengers in different directions and different starting points, we use the championship selection s

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Sonule, Nikit, Prof M. S. Khatib, and Prof Farhenna Shaikh. "Implementation of Real-Time Taxi Ride Sharing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 891–95. http://dx.doi.org/10.31142/ijtsrd11171.

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He, Feng, Xin Qiu, Qing Yang, Jiong Di Chen, and Hai Qi Yu. "Research on Optimization Model of Taxi-Carpooling Expenses." Applied Mechanics and Materials 178-181 (May 2012): 2841–44. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2841.

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In order to solve cost-sharing problems for taxi-carpooling passengers, the optimization model of sharing taxi-carpooling expenses was established taking both taxi-driver and passengers’ benefits into fully consideration. Based on the fact that passengers would pay for their own share in proportion, the optimization model was made with the objective function aiming at minimum consumption of time and money. In view of its features, the theoretical model was further developed comparing expenses in theory with that under existing conditions. The results show that this optimization model of sharin

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Lyu, Yan, Victor C. S. Lee, Joseph Kee-Yin Ng, Brian Y. Lim, Kai Liu, and Chao Chen. "Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System." IEEE Transactions on Vehicular Technology 68, no. 10 (2019): 9399–413. http://dx.doi.org/10.1109/tvt.2019.2932869.

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Dewi, Kemala, Aris Krisdiyanto, Dewanto, Sidrotun Na'im, and Diah Fatma Sjoraida. "The Impact of Rice Sharing Service on Traditional Taxy Market: Meta-analysis." Indonesia Journal of Engineering and Education Technology (IJEET) 2, no. 2 (2024): 314–18. http://dx.doi.org/10.61991/ijeet.v2i2.55.

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This study aims to analyze the impact of rice sharing services on the traditional taxi market through a meta-analysis. Rice-sharing services have grown rapidly in recent years, offering cheaper and more convenient transportation alternatives for consumers. The study pooled and analyzed the results of 10 studies examining the impact of rice-sharing services on the traditional taxi market. The results of the meta-analysis showed that rice sharing services had a significant negative impact on the income and number of traditional taxi passengers with an effect size value of 0.712. This effect is s

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Burhan, Helen, Sutanto Soehodho, and Nahry Yusuf. "A resource sharing (sharing platform) scheme on online taxi services." MATEC Web of Conferences 270 (2019): 03010. http://dx.doi.org/10.1051/matecconf/201927003010.

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This paper will review the match between single driver and single rider in online taxi services through a resource sharing (sharing platform) for the operators with the objectives to maximize the profit for drivers (operators) and minimize waiting time for passengers so that the matching rate is higher. A low matching rate between rider and driver can cause the consumer to drop the services. The matching between single driver and single rider in online taxi services through a sharing platform scheme is formulated in maximum weighted bipartite matching problem. To solve the proposed model, we u

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Wang, Yongjie, and Maolin Li. "Optimization Algorithm Design for the Taxi-Sharing Problem and Application." Mathematical Problems in Engineering 2021 (August 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/5572200.

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With the development of mobility techniques, the transportation systems become smarter, pursuing higher goals, such as convenience for passengers and low cost. In this work, we investigate the taxi-sharing system, which is a promising system recently. The passengers can share the same taxis to different destinations to save cost. Considering the property of taxis’ routes, the corresponding model is established and our aim is to design the trip for each taxi to reduce the total number of taxi trips in the whole system if one taxi can be shared by several passengers. Compared with the previous w

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Ota, Masayo, Huy Vo, Claudio Silva, and Juliana Freire. "STaRS: Simulating Taxi Ride Sharing at Scale." IEEE Transactions on Big Data 3, no. 3 (2017): 349–61. http://dx.doi.org/10.1109/tbdata.2016.2627223.

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Zhang, Chaofeng, Mianxiong Dong, Kaoru Ota, and Minyi Guo. "A Social-Network-Optimized Taxi-Sharing Service." IT Professional 18, no. 4 (2016): 34–40. http://dx.doi.org/10.1109/mitp.2016.71.

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K M, Silpa, and Naveena Treesa Joseph. "Taxi Ride Sharing with the Aid of Social Media." International Journal of Scientific Engineering and Research 7, no. 3 (2019): 25–30. https://doi.org/10.70729/ijser18675.

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Vlacic, Patrick, and Jernej Štromajer. "Taxi Cooperatives as an Alternative to Uber." Lex localis - Journal of Local Self-Government 18, no. 3 (2020): 449–67. http://dx.doi.org/10.4335/18.3.449-467(2020).

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The advancement of technology and digitization has enabled the development of online platforms that represent the basis of the emerging sharing economy. Critics of the sharing economy argue that these online platforms do not serve the interests of their users, but mainly the interests of their owners and investors. That is why they propose fostering the development of an alternative to the currently predominant business model within the sharing economy, in the form of online platform cooperativism. The Uber global corporation and local taxi cooperatives are presented as model examples. To serv

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Lee, Der-Horng, Xian Wu, and Lijun Sun. "Limited Information-Sharing Strategy for Taxi–Customer Searching Problem in Nonbooking Taxi Service." Transportation Research Record: Journal of the Transportation Research Board 2333, no. 1 (2013): 46–54. http://dx.doi.org/10.3141/2333-06.

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Rozsa, Zoltan, Aknur Zhidebekkyzy, Yuriy Bilan, and Jana Drahosova. "The impact of taxi drivers’ characteristics on the propensity to do business: Case study from a sharing economy." Innovative Marketing 19, no. 2 (2023): 170–83. http://dx.doi.org/10.21511/im.19(2).2023.14.

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This paper aims to quantify the impact of selected demographic, financial, and economic factors on the propensity to do business in the taxi sector of the sharing economy. The sample comprised 375 taxi drivers from the Czech Republic and Slovak Republic. Data were collected using the query method via a questionnaire in April 2022. The structure of the respondents is divided into shared taxi service providers (N = 294) and traditional taxi service providers (N = 69). The study selected 14 factors: demographic (4), financial (7), and economic (3). The SEM approach was applied to evaluate the hyp

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Kotliarov, I. D. "ORGANIZATION OF MOTOR TRANSPORT SERVICES ON THE BASIS OF COMMERCIAL CAR SHARING." World of Transport and Transportation 14, no. 6 (2016): 78–85. http://dx.doi.org/10.30932/1992-3252-2016-14-6-8.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT A new form of collective use of cars for the domestic motor transport practice, the nature and varieties of car sharing, its technological features and socio-economic meaning are explored. The motives and functions of the user of commercial car sharing and car rental are compared. It is shown that it is right to consider car sharing as a self-service taxi. An analysis of advantages and disadvantages of car sharing, own car and taxi is conducted. An estimat

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Kasim, Azilah, Chin Tong Lim, Adnan Hisham, and Shamsul Shamsuddin. "UNDERSTANDING HOW RIDE-SHARING SERVICES IMPACTED LOCAL TAXI OPERATORS: THE CASE OF UBER IN KUALA LUMPUR, MALAYSIA." Journal of Event, Tourism and Hospitality Studies (JETH) Vol.1, July 2021, Number 1 (July 15, 2021): 95–120. http://dx.doi.org/10.32890/jeth2021.1.5.

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The introduction of ride-sharing alternative to taxis brought a refreshing alternative to consumers because it promises a comfortable and reliable service of ride sharing. However, Uber i.e. the first ride-sharing service offered in Malaysia in particular, has caused uneasiness among the conventional taxi concessionaires. This paper took a case study approach to understand the reasons behind this issue within the context of Kuala Lumpur, Malaysia using document analysis and semi structured interviews. The findings suggest that high quality ride experience that ride- sharing services such as Ub

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AlKheder, Sharaf. "Taxi Ride sharing in Kuwait: Econ-enviro study." Energy 225 (June 2021): 120269. http://dx.doi.org/10.1016/j.energy.2021.120269.

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Massobrio, Renzo, Gabriel Fagúndez, and Sergio Nesmachnow. "Multiobjective evolutionary algorithms for the taxi sharing problem." International Journal of Metaheuristics 5, no. 1 (2016): 67. http://dx.doi.org/10.1504/ijmheur.2016.079103.

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Liu, Zhiyuan, Shuaian Wang, Kai Huang, Jun Chen, and Yingna Fu. "Practical taxi sharing schemes at large transport terminals." Transportmetrica B: Transport Dynamics 7, no. 1 (2018): 596–616. http://dx.doi.org/10.1080/21680566.2018.1453391.

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Cai, Hua, Xi Wang, Peter Adriaens, and Ming Xu. "Environmental benefits of taxi ride sharing in Beijing." Energy 174 (May 2019): 503–8. http://dx.doi.org/10.1016/j.energy.2019.02.166.

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Wen, Jialin, Min Zou, Yikai Ma, and Hao Luo. "Evaluating the Influence of Taxi Subsidy Programs on Mitigating Difficulty Getting a Taxi in Basis of Taxi Empty-loaded Rate." International Journal of Statistics and Probability 6, no. 2 (2017): 9. http://dx.doi.org/10.5539/ijsp.v6n2p9.

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With the advent of the “Internet plus” era, a number of companies have established the service platform of taxi-hailing apps relying on the mobile Internet, which builds up a communication bridge between passengers and taxi drivers. Besides, taxi companies have initiated many subsidy programs. Based on the prediction model of passenger waiting time built in this paper, it has been proved thatthere exists a negative correlation between passenger waiting time and taxi empty-loaded rate. This paper also analyzes the influencing factors of taxi empty-loaded rate. The results show that the higher t

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Yang, Jie, Zeyu Wang, Chunming Xu, and Di Wang. "The Competition Between Taxi Services and On-Demand Ride-Sharing Services: A Service Quality Perspective." Sustainability 16, no. 22 (2024): 9877. http://dx.doi.org/10.3390/su16229877.

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On-demand ride-sharing services change our travel behavior, which threatens the survival of taxi services. Motivated by this, this paper examines the impact of on-demand ride-sharing services on taxi services and how to achieve the coexistence of two services from a service quality perspective. This paper analyzes the coexistence condition of two services considering the network effect. First, the profit target for taxi drivers is nonnegative. A Stackelberg model is built in which the taxi service is the leader and the on-demand ride-sharing service is the follower. Then, the reference depende

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Del Giudice, Manlio, Maria Rosaria Della Peruta, and Vincenzo Maggioni. "A model for the diffusion of knowledge sharing technologies inside private transport companies." Journal of Knowledge Management 19, no. 3 (2015): 611–25. http://dx.doi.org/10.1108/jkm-02-2015-0047.

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Purpose – This paper aims to investigate, inside the private sector of transport, a model for the diffusion of knowledge-sharing technologies with non-uniform internal influence that has been developed by Easingwood et al. (1983). Design/methodology/approach – The authors performed an empirical evaluation of the performances of the model by Easingwood et al. (1983) by analyzing data gathered from almost 230 taxi drivers joining two of the biggest taxi brokers operating in the Southern Italian city of Naples. Findings – Such an analysis reveals that the model by Easingwood et al. (1983) provide

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Cramer, Judd, and Alan B. Krueger. "Disruptive Change in the Taxi Business: The Case of Uber." American Economic Review 106, no. 5 (2016): 177–82. http://dx.doi.org/10.1257/aer.p20161002.

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In most cities, the taxi industry is highly regulated and has restricted entry. Ride sharing services, such as Uber and Lyft, which use mobile internet technology to connect passengers and drivers, have begun to compete with traditional taxis. This paper examines the efficiency of ride sharing services vis-a-vis taxis. In most cities with data available, UberX drivers spend a significantly higher fraction of their time, and drive a substantially higher share of miles, with a passenger in their car than do taxi drivers. Reasons for this efficiency advantage are explored.

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Girich, M. G., and A. Saule. "INTERNATIONAL STANDARDS IMPACT ON THE REGULATION OF NATIONAL TAXI AGGREGATOR MARKETS." International Trade and Trade Policy, no. 2 (June 23, 2020): 146–61. http://dx.doi.org/10.21686/2410-7395-2020-2-146-161.

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The development of the sharing economy has affected the change in the passenger transportation market, as online platforms for taxi services have appeared. For example, Uber Technologies plays a significant role in the market, which in 2017 won first place in the top 10 startups of the sharing economy. Currently, there are many problems that arise with the regulation of online taxi platforms. The Organization for Economic Co-operation and Development, together with the International Transport Forum, is conducting a study of the law enforcement practices of countries regarding the regulation of

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Qiu, Jianrong, Kai Huang, and Jason Hawkins. "The taxi sharing practices: Matching, routing and pricing methods." Multimodal Transportation 1, no. 1 (2022): 100003. http://dx.doi.org/10.1016/j.multra.2022.100003.

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Duerringer, Christopher Michael. "Rhetorical Arbitrage: The Rhetoric of the Sharing Economy." Communication Theory 29, no. 4 (2018): 383–400. http://dx.doi.org/10.1093/ct/qtz005.

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Abstract This article extends the growing conversation on the rhetoric of economics through a critical analysis of the rhetoric of the “sharing economy” firm Uber. After reconfiguring the economic concept of arbitrage from a rhetorical perspective, I demonstrate the means by which “ride sharing” services exploit their customers and workers. Ultimately, I contend that Uber’s rhetoric works by deploying the language of the private sphere in order that the company can operate like a taxi company even as it evades the obligations that ordinarily attach to providing taxi service to the public.

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Xue, Shuqi, Qi Zhang, and Nirajan Shiwakoti. "Sharing a Ride: A Dual-Service Model of People and Parcels Sharing Taxis with Loose Time Windows of Parcels." Systems 12, no. 8 (2024): 302. http://dx.doi.org/10.3390/systems12080302.

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(1) Efficient resource utilization in urban transport necessitates the integration of passenger and freight transport systems. Current research focuses on dynamically responding to both passenger and parcel orders, typically by initially planning passenger routes and then dynamically inserting parcel requests. However, this approach overlooks the inherent flexibility in parcel delivery times compared to the stringent time constraints of passenger transport. (2) This study introduces a novel approach to enhance taxi resource utilization by proposing a shared model for people and parcel transpor

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Gui, Jiawei, and Qunqi Wu. "Taxi Efficiency Measurements Based on Motorcade-Sharing Model: Evidence from GPS-Equipped Taxi Data in Sanya." Journal of Advanced Transportation 2018 (November 11, 2018): 1–10. http://dx.doi.org/10.1155/2018/4360516.

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Urban traffic congestion has become a global problem and has garnered special importance in recent years in the transportation sector, especially in taxi markets. To unlock the potential of Internet of Vehicles (IoV) in Intelligent Transportation Systems (ITS), it was vital to make efficiency measurements. In this study, Distance Formula was built to calculate distances by GPS data based on mathematical equations, and Motorcade-Sharing (MS) Model was proposed to improve the efficiency of collaborative vehicles. The experimental data of 2191 GPS-equipped taxis in Sanya of China was adopted to m

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Mohana Divasini Jayaraj, Zuha Rosufila Abu Hasan, and Nina Marlini Ahmad. "GrabCar: Opportunities and Challenges for Taxi Operators." Universiti Malaysia Terengganu Journal of Undergraduate Research 1, no. 3 (2019): 46–55. http://dx.doi.org/10.46754/umtjur.v1i3.78.

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Taxis, being a significant element of mobility, play a sufficiently great role in public transportation. However, the issues towards taxi services have gradually increased due to the poor services given to passengers by taxi operators, leading to the demand for other ride service alternatives. With the development of technology, GrabCar was developed and launched as an online taxi booking through smartphone application which can easily connect passengers and drivers. The main purpose of this study is to find out the perception of taxi operators towards GrabCar service and vice versa so that th

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Guidon, Sergio, Henrik Becker, Horace Dediu, and Kay W. Axhausen. "Electric Bicycle-Sharing: A New Competitor in the Urban Transportation Market? An Empirical Analysis of Transaction Data." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (2019): 15–26. http://dx.doi.org/10.1177/0361198119836762.

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Electric bicycles (e-bikes) are a new addition to bicycle-sharing and may improve its competitiveness. E-bikes allow for higher speeds at a higher level of comfort than conventional bicycles and, compared with traditional bicycle-sharing, e-bike-sharing is better positioned to complement or compete with existing public transportation, or to even challenge established taxi services. In this paper, eight months of transaction data from a free-floating e-bike-sharing system in Zürich, Switzerland, were used to study the market position of e-bike sharing and drivers of demand. The results of the a

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Chang, Mengmeng, Yuanying Chi, Zhiming Ding, Jing Tian, and Yuhao Zheng. "A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context." ISPRS International Journal of Geo-Information 10, no. 12 (2021): 821. http://dx.doi.org/10.3390/ijgi10120821.

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In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increases efficiency in urban mobility with a reduced taxi fleet scale. For individual taxis, they lack macroscopic horizon in their choice of passenger pic

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Liu, Zhihan, Yi Jia, and Xiaolu Zhu. "Deployment Strategy for Car-Sharing Depots by Clustering Urban Traffic Big Data Based on Affinity Propagation." Scientific Programming 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/3907513.

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Car sharing is a type of car rental service, by which consumers rent cars for short periods of time, often charged by hours. The analysis of urban traffic big data is full of importance and significance to determine locations of depots for car-sharing system. Taxi OD (Origin-Destination) is a typical dataset of urban traffic. The volume of the data is extremely large so that traditional data processing applications do not work well. In this paper, an optimization method to determine the depot locations by clustering taxi OD points with AP (Affinity Propagation) clustering algorithm has been pr

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Cao, Yi, Shan Wang, and Jinyang Li. "The Optimization Model of Ride-Sharing Route for Ride Hailing Considering Both System Optimization and User Fairness." Sustainability 13, no. 2 (2021): 902. http://dx.doi.org/10.3390/su13020902.

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To fully take the advantages of ride-sharing ride hailing, such as high loading rate, high operating efficiency, and less traffic resources, and to alleviate the difficulty of getting a taxi in urban hubs, the topic of ride-sharing route optimization for ride hailing is studied in this paper. For the multiple ride hailing ride-sharing demands and multiple ride hailing services in the urban road network in a specific period, the objective function is established with the shortest route of the system. The constraint conditions of the optimization model are constructed by considering factors of t

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Ji, Yuxiong, Yujing Zheng, Jizhou Zhao, Yu Shen, and Yuchuan Du. "A Multimodal Passenger-and-Package Sharing Network for Urban Logistics." Journal of Advanced Transportation 2020 (March 20, 2020): 1–16. http://dx.doi.org/10.1155/2020/6039032.

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This paper envisions a multimodal passenger-and-package sharing (PPS) network for urban logistics integrating metro, taxi, and truck. A hub-and-spoke structure is designed including hubs located at metro stations and service stores connected to the hubs. Packages are transported by metro on backbone links between the hubs and are carried by taxis or trucks between service stores and hubs, depending on the unit costs of these two modes and capacity constraint of the taxi. A mixed integer linear programming model for hub location problems—fusing the multiassignment p-hub median problem without c

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Wang, Yaoli, Ronny Kutadinata, and Stephan Winter. "The evolutionary interaction between taxi-sharing behaviours and social networks." Transportation Research Part A: Policy and Practice 119 (January 2019): 170–80. http://dx.doi.org/10.1016/j.tra.2018.10.043.

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Li, Jian-Pan, Gwo-Jiun Horng, Yin-Jun Chen, and Sheng-Tzong Cheng. "Using Non-cooperative Game Theory for Taxi-Sharing Recommendation Systems." Wireless Personal Communications 88, no. 4 (2016): 761–86. http://dx.doi.org/10.1007/s11277-016-3202-3.

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Afsari, Marzieh, Nicola Ippolito, Lory Michelle Bresciani Mistrice, and Guido Gentile. "Environmental benefits of taxi ride-sharing in New York City." Transportation Research Procedia 78 (2024): 345–52. http://dx.doi.org/10.1016/j.trpro.2024.02.044.

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Meng, Tian, Songyi Cai, You Qu, Evelyn Ng, Barney Tan, and Bo Zhu. "The Dark Side of Ridesharing in China: A Case Study of Qiangsheng Taxi." Discrete Dynamics in Nature and Society 2020 (December 15, 2020): 1–9. http://dx.doi.org/10.1155/2020/8816314.

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Our understanding of the negative implications of the sharing economy is limited, particularly from the perspective of the traditional businesses that are being displaced. To address this knowledge gap, this paper documents our ongoing study of Qiangsheng Taxi, the oldest and largest taxi company based in Shanghai, China. Our aim is to develop a preliminary process model based on the data collected to date that sheds light on the negative implications of ridesharing, one of the most recognized forms of the sharing economy. More specifically, our process model suggests that there are contextual

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Zhu, Pengyu, Yong-Hong Kuo, Marlon Ives Tanuihusada, Wei Qiang, and Jie Wang. "Where do taxi trips start and end? Implications For Future Car-sharing For Commuting." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-439-2019.

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<p><strong>Abstract.</strong> The impact of built environment on travel behaviour has long been an actively researched topic. However, many researches are focusing on the travel behaviour regarding to the choice of passengers on using public transport such as buses and subways, or private means such as private cars. Taxi, as a historical mean of public transport has not been widely researched in term of its relationship with the built environment.</p><p>Considering taxi as a practical, comfortable, and direct (door-to-door) means of transport, it is still widely u

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Von Vacano, Mechthild. "“Sharing economy” versus “informal sector”: Jakarta’s motorbike taxi industry in turmoil." Anuac 6, no. 2 (2017): 97–101. http://dx.doi.org/10.7340/anuac2239-625x-3076.

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Comparing conventional motor bike taxi services in Jakarta (ojek) to their recent online-based competitors (GoJek), this paper contrasts a prime example of the classic “informal sector” with newly emerging forms of the “sharing economy”. It challenges the notion of “informal economy” as an umbrella concept for such two different business models.

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Zhang, Man, Dongwei Tian, Jingming Liu, and Xuehua Li. "Analysis of Taxi Demand and Traffic Influencing Factors in Urban Core Area Based on Data Field Theory and GWR Model: A Case Study of Beijing." Sustainability 16, no. 17 (2024): 7386. http://dx.doi.org/10.3390/su16177386.

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Urban transportation constitutes a complex and dynamic system influenced by various factors, including population density, infrastructure, economic activities, and individual travel behavior. Taxis, as a widespread mode of transportation in many cities, play a crucial role in meeting the transportation needs of urban residents. By using data field theory and the Geographically Weighted Regression (GWR) modeling method, this study explored the complex relationship between taxi demand and traffic-related factors in urban core areas and revealed the potential factors affecting taxi starting and l

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Zhang, Yingjie, Beibei Li, and Ramayya Krishnan. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers." Information Systems Research 31, no. 4 (2020): 1301–21. http://dx.doi.org/10.1287/isre.2020.0946.

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In this study, using a Bayesian learning model with a rich data set consisting of 2 million fine-grained GPS observations, we study the role of information observable by or made available to taxi drivers in enabling them to learn the distribution of demand for their services over space and time. We find significant differences between new and experienced drivers in both learning behavior and driving decisions. Drivers benefit significantly from their ability to learn from not only information directly observable in the local market but also aggregate information on demand flows across markets.

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Yan, Liping, Chan Peng, Yue Tang, Wenbo Zhang, Jing Wang, and Yu Cai. "NCG-TSM: A Noncooperative Game for the Taxi Sharing Model in Urban Road Networks." Journal of Advanced Transportation 2023 (May 26, 2023): 1–12. http://dx.doi.org/10.1155/2023/6597844.

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Taxi sharing is a promising method to save resource consumption and alleviate traffic congestion while satisfying people’s commuting needs. Existing research methods include taxi dispatching methods based on intelligent algorithms, single vehicle route recommendation algorithms, and route recommendation algorithms based on vehicle traffic history. However, these studies either focus on how to efficiently dispatch satisfactory vehicles for passengers, ignoring the effect of efficient routes on vehicle travel efficiency, or let vehicles follow the shortest detour distance recommended by the syst

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d'Orey, Pedro M., and Michel Ferreira. "Can ride-sharing become attractive? A case study of taxi-sharing employing a simulation modelling approach." IET Intelligent Transport Systems 9, no. 2 (2015): 210–20. http://dx.doi.org/10.1049/iet-its.2013.0156.

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Huang, Yan. "BP Neural Network-Based Big Data Intelligent Travel Algorithm and Its Application." Scientific Programming 2022 (April 6, 2022): 1–10. http://dx.doi.org/10.1155/2022/2306177.

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With the increase of urbanization rate, a large number of people flood into cities, increasing pressure of urban traffic, and problems accumulated in the taxi industry are gradually prominent. The phenomenon of crowded queue for taxi is frequent in peak hours, and vehicles patrol and sweep streets during peak hours. The key to solve these problems lies in mastering the rules and patterns of taxi travel and finding the factors affecting the relationship between taxi supply and demand. It is difficult to effectively understand taxi travel as a whole due to the large number of taxis and their lar

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Nguyen Van, Son, Nhan Vu Thi Hong, Dung Pham Quang, Hoai Nguyen Xuan, Behrouz Babaki, and Anton Dries. "Novel online routing algorithms for smart people‐parcel taxi sharing services." ETRI Journal 44, no. 2 (2022): 220–31. http://dx.doi.org/10.4218/etrij.2021-0406.

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Nguyen Van, Son, Nhan Vu Thi Hong, Dung Pham Quang, Hoai Nguyen Xuan, Behrouz Babaki, and Anton Dries. "Novel online routing algorithms for smart people‐parcel taxi sharing services." ETRI Journal 44, no. 2 (2022): 220–31. http://dx.doi.org/10.4218/etrij.2021-0406.

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