Predicting the Upcoming Services of Vacant Taxis near Fixed Locations Using Taxi Trajectories

Hu, Chunchun; Thill, Jean-Claude

doi:10.3390/ijgi8070295

Cited by 5 publications

(5 citation statements)

References 25 publications

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“…Zhou and Zhou [28] classified tunnel images using an information entropy-based information clustering algorithm and then built a categorization quality evaluation model for urban tunnel traffic based on the images in each cluster. Hu and ill [29] extracted empty taxi hotspots or hidden states using kernel density estimation (KDE). By utilizing both real-time and historical taxi data, Lu et al [30] estimated the region-based taxi wait time and applied recurrent neural network (RNN) and deep learning algorithms to build a predictive model for the taxi service system and thus identify the taxi pick-up hotspots in a city.…”

Section: Related Researchmentioning

confidence: 99%

Mining Taxi Pick-Up Hotspots Based on Grid Information Entropy Clustering Algorithm

Liu

Wang

et al. 2021

Journal of Advanced Transportation

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In view of the fact that the density-based clustering algorithm is sensitive to the input data, which results in the limitation of computing space and poor timeliness, a new method is proposed based on grid information entropy clustering algorithm for mining hotspots of taxi passengers. This paper selects representative geographical areas of Nanjing and Beijing as the research areas and uses information entropy and aggregation degree to analyze the distribution of passenger-carrying points. This algorithm uses a grid instead of original trajectory data to calculate and excavate taxi passenger hotspots. Through the comparison and analysis of the data of taxi loading points in Nanjing and Beijing, it is found that the experimental results are consistent with the actual urban passenger hotspots, which verifies the effectiveness of the algorithm. It overcomes the shortcomings of a density-based clustering algorithm that is limited by computing space and poor timeliness, reduces the size of data needed to be processed, and has greater flexibility to process and analyze massive data. The research results can provide an important scientific basis for urban traffic guidance and urban management.

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Section: Related Researchmentioning

confidence: 99%

Mining Taxi Pick-Up Hotspots Based on Grid Information Entropy Clustering Algorithm

Liu

Wang

et al. 2021

Journal of Advanced Transportation

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“…Taxi services make a significant contribution to mobility in medium and large cities in almost every country in the world (Gallo, 2018), and taxis have become an important mode of transport for people going to work, shopping, and other travel activities (C. Hu & Thill, 2019). Taxis have many beneficial and desirable features, such as personalized, door-to-door, and demand response services (Wong et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial Pattern and Driving Mechanism of Urban Taxi Fares in China

Wenkang,

Jie

2024

Sage Open

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Taxi fare is related to the daily life of residents. Reasonable taxi fare not only meets the travel demand of residents but also improves the income of drivers and promotes employment. The spatial variation of taxi fares exists between different regions and cities. Previous studies on taxi fares have been conducted mostly in individual cities, and there has been no study on the spatial differentiation pattern of taxi fares on a national scale. Taking 336 cities across China as the research object, a multiple linear regression model of taxi fares was established by demonstrating the spatial variation pattern of taxi fares, the global differentiation index, spatial autocorrelation analysis, and kernel density analysis, etc. The significance of the study is to explore the law of spatial differentiation of taxi fares in China and to provide a stenographic record of taxi fare adjustment. The results show that: (1) the spatial variation of taxi fares across the country is significant, with the starting taxi fare range being between RMB 4 and RMB 14. (2) The global differentiation index of taxi fares is large, with two low-low clusters and three high-high clusters appearing spatially, and the results of the kernel density analysis surface a dispersion distribution centered on provincial capitals. (3) The divergence pattern of taxis nationwide is influenced by several factors. A multiple linear regression model is selected to establish a multiple linear regression model of urban disposable income per capita, regional GDP, urbanization rate, and urban population density, which shows that urban disposable income per capita has the greatest influence on taxi fares. The model shows that urban disposable income per capita has the greatest influence on taxi fares, and the fare of a 5 km taxi ride is 6.07. Taxi fares have a clear pattern of spatial differentiation in China and are most affected by urban disposable income per capita. Through this study, we can gain a deeper understanding of the variation in taxi fares across the country and provide data and theoretical support for the rationality of taxi fare adjustments.

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“…Le besoin de transport en milieu urbain demeure une réalité croissante en Afrique [1]- [3]. Plusieurs raisons concourent à cette forte demande d'adaptation des moyens de transport, dont la forte démographie liée à l'exile rural de population [4] [5].…”

Section: Introductionunclassified

Profil Et Appreciation Du Metier De Conducteur De Mototaxis (Motard) a Kabinda, Republique Democratique Du Congo

NTAMBWE¹,

MUKONKOLE²,

NGOYI³

et al. 2022

Tanganyika J. Sc.

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Résumé : La croissance démographique, constatée en ce XXIe siècle en Afrique, met à nu l’insuffisance des infrastructures de transports, longtemps décriée. Le transport en commun doit compter de nos jours sur le phénomène des mototaxis. Cette étude vise comme objectif de déterminer les caractéristiques des conducteurs de moto taxis et d’évaluer l’appréciation qu’ils ont de leur métier. L’étude a été menée dans la ville de Kabinda, province de Lomami, en République Démocratique du Congo. Il s’agissait d’une étude descriptive et observationnelle durant la période de deux mois, Juin et Juillet 2022. Le questionnaire avait servi à la récolte des données. Les résultats de cette étude ont démontré que les conducteurs des motos taxis (motards) sont tous de sexe masculin, jeunes et dévoués à leur métier. Le mauvais état des routes, la rapidité de déplacement (au lieu d’attendre que le véhicule se remplisse), le chômage après les études et la liberté d’exercer le métier sont des opportunités qui favorisent l’émergence de transport en commun par moto. La majorité des conducteurs des mototaxis apprécient leur métier, source des survies pour les ménages. Il se dégage, d’après nos constations un besoin urgent à ce que le pouvoir public s’intéresse à court terme à l’organisation de cette profession ; et à long terme à améliorer l’état des routes, disposer de transport urbain par véhicules et bannir professionnellement cette activité pour l’intérêt public. Mots-clés : Motard, Boda-Boda, Mototaxis, Conducteur de Moto, Kabinda, RDC Abstract: The demographic growth observed in Africa in the 21st century has exposed the inadequacy of transport infrastructure, which has long been decried. Public transport must nowadays rely on the phenomenon of motorbike taxis. The aim of this study is to determine the characteristics of motorbike taxi drivers and to assess their appreciation of their profession. The study was conducted in the town of Kabinda, Lomami province, in the Democratic Republic of Congo. It was a descriptive and observational study during the period of two months, June and July 2022. The results of this study showed that motorbike taxi drivers (“Motards”) are all male, young and dedicated to their profession. The poor state of the roads, the speed of travel (instead of waiting for the vehicle to fill up), unemployment after studying and the freedom to practice the trade are opportunities that favour the emergence of public transport by motorbike. The majority of motorbike taxi drivers enjoy their job, which is a source of survival for their households. According to our observations, there is an urgent need for the public authorities to take an interest in the short term in the organisation of this profession, and in the long term to improve the state of the roads, to provide urban transport by vehicle and to banish this activity professionally in the public interest. Keywords: Boda-Boda, Public transport, Motorcycle drivers, Kabinda, DRC

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Predicting the Upcoming Services of Vacant Taxis near Fixed Locations Using Taxi Trajectories

Cited by 5 publications

References 25 publications

Mining Taxi Pick-Up Hotspots Based on Grid Information Entropy Clustering Algorithm

Mining Taxi Pick-Up Hotspots Based on Grid Information Entropy Clustering Algorithm

Spatial Pattern and Driving Mechanism of Urban Taxi Fares in China

Profil Et Appreciation Du Metier De Conducteur De Mototaxis (Motard) a Kabinda, Republique Democratique Du Congo

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