El proyecto que presentamos en este trabajo, al cual decidimos llamar "Habla, Vas", consiste en un sistema de conexión mediante información relevante de demanda y oferta entre personas que necesiten movilizarse en un taxi colectivo a través de las principales rutas de la ciudad y colectiveros que necesiten generar mayores ingresos en estas rutas con mayor afluencia de tráfico en Lima. La idea de negocio parte de la necesidad de los autores por movilizarnos rápido, seguro y fácil por la ciudad, sin utilizar medios de transporte públicos que hacen que la experiencia de viajar sea incómoda, por la alta demanda del servicio y poca oferta. Esta situación, que se presenta a diario en miles de limeños, puede ser solucionado mediante una aplicación que simplifique el proceso de intercambio de información y nos evite caer en situaciones incómodas a las que los taxis colectivos tradicionales nos exponen. Asimismo, luego de la evaluación financiera preliminar del proyecto, notamos que el mismo tiene un potencial de rentabilidad altamente explotable, que constituye una oportunidad inmejorable para ser los primeros en este segmento, logrando lo que en su momento consiguió empresas como Uber o Globo. Además, se requiere una inversión relativamente pequeña frente a un negocio convencional y será totalmente accesible a través de las tiendas de Android y Apple. Finalmente, este proyecto será nuestra mejor carta de presentación e ingreso en el mundo de los negocios para nuestros futuros proyectos, ya que hemos recabado la información necesaria para entender la operación de ellos. / The project that we present in this document, which we decided to call "Habla, Vas", consists of a connection system through relevant information of demand and supply, between people who need to move in a group through the main routes of the city and groups who need to generate income on these routes with the highest traffic flow in Lima. The business idea stems from the authors' need to move quickly, safely and easily around the city, without using public means of transport that make traveling uncomfortable, due to the high demand for the service and low supply. This situation, which occurs daily in thousands of Lima, can be solved through by the application that simplifies the process of information exchange and prevents us from falling into uncomfortable situations to which traditional groups expose us. Likewise, after the preliminary financial evaluation of the project, we note that it has a highly exploitable profitability potential, which constitutes an unbeatable opportunity to be the first in the segment, achieving what companies such as Uber or Globo achieved at the time. Also, a relatively small investment is required compared to a conventional business and will be fully accessible through Android and Apple stores. Finally, this project will be our best letter of introduction and entry into the business world for our future projects, since we have collected the necessary information to understand their operation. / Trabajo de investigación

Thesis advisor: Joseph Quinn / The creation of ridesourcing firms Uber and Lyft greatly disrupted the taxicab marketplace in the United States over the past four years. By examining the taxicab marketplace, as well as the ridesourcing firm’s aspects of creative destruction, the marketplace’s drastic changes become apparent. Thus, 21st century technology disrupts the marketplace, and creates a real time market based on supply and demand factors. Furthermore, disruption impacts all actors within the previous taxicab marketplace as well as the newly created ridesourcing marketplace; therefore, ridesourcing’s widespread effects are examined in detail. / Thesis (BS) — Boston College, 2015. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Departmental Honors. / Discipline: Economics.

Thesis (M.S.E.)--University of Wisconsin -- La Crosse, 2007. / Includes bibliographical references (p. 31-32)

Dissertação (mestrado) - Universidade Federal de Santa Catarina. Centro Tecnologico / Made available in DSpace on 2016-01-08T16:10:53Z (GMT). No. of bitstreams: 1 83541.pdf: 3273266 bytes, checksum: ef4b7b1e61a56cc32ad2210d70d4065a (MD5) Previous issue date: 1988 / Neste trabalho é proposto, uma solução para o problema de otimização de um sistema de rádio-táxi e para tanto propõe-se a subdivisão do problema original em dois subproblemas. O primeiro subproblema objetiva determinar uma escala de serviço, definindo, conseqüentemente, o tamanho da frota. Este subproblema é abordado como um problema de programação inteira, sendo resolvido através do Algoritmo "Branch and Bound". No segundo subproblema é proposta a utilização do Algoritmo de Floyd para a determinação dos melhores pontos de táxi, em ordem seqüencial que deverão ser acionados para o atendimento de uma chamada qualquer. Ao longo do trabalho é dada ênfase especial à fase de levantamento de dados e à solução do modelo para uma empresa de rádio-táxi da cidade de Curitiba. Por fim, são apresentadas sugestões às empresas e às Prefeituras com relação a coleta de dados e aplicação dos resultados visando, entre outras coisas, ao melhor atendimento dos usuários deste serviço e à economia de combustível.

A first-rate public transport system is one of the critical building blocks of any world-class economy. The minibus-taxi industry has developed into the dominant public transport provider in South Africa and is a beacon of black economic empowerment. However, the industry’s informal operation is plagued with problems like poor road safety and declining profit margins. This research project sets out to investigate these impediments in an effort to provide a framework for the transformation of the industry into a high-quality, customer focused enterprise. The TOC thinking processes is systematically employed to design a robust solution for this multifaceted operation. The research presents a positive prospect of genuinely safe, secure and reliable public transport for the first time in South Africa. / Dissertation (M.Eng (Technology Management))--University of Pretoria, 2005. / Graduate School of Technology Management (GSTM) / unrestricted

The recognition that employees and employers wield different levels of power in the workplace makes labour legislation a central part of the workplace. This is because the different levels of power possessed by the two parties impact not only on workplace decision making but also on the relationship between the two parties, thus, being the weaker party (worker), the importance of worker protection through legislation is very important. However, the extent to which all employees enjoy legislation protection has always been a bone of contention. The lack of employment security in certain sectors of the labour market is not always the direct consequence of a lack of labour legislation aimed at those sectors. Rather, factors such as supervising compliance and implementation of labour legislation are crucial towards achieving important goals of labour legislation such as job security and worker protection. This study attempts to understand the interplay between the nature of work, legislation and the impact on family and community life of taxi drivers, through studying the everyday work experience of local taxi operators. This study looks at the labour process of taxi driving in Mamelodi Township (Pretoria, Gauteng Province) and Jane Furse (Sekhukhune District, Limpopo Province). The study draws on post-Bravermanian labour process theory, work-life balance debates and labour geography for theoretical frameworks. This is an ethnographic study that mainly draws on the extended case method, supplemented with semi-structured interviews. Results indicate that taxi drivers work under harsh working conditions with very few employment-related benefits and little time for their families (social life). The drudgery of labour and the nature of the labour process motivate the need for taxi drivers to “make out”, as Michael Burawoy has described worker coping strategies. This involves what is termed binding, floating, sekero and rocky relations in this study. Findings also point out that current legislative stipulations, particularly the definition of a workplace, are incompatible with the nature of work characteristic of the minibus taxi industry. The study concludes that taxi drivers remain largely vulnerable and unprotected due to this mismatch between legislative stipulations and the nature of work in the industry. Related to the foregoing, the study concludes that the informality of the minibus taxi industry benefits to some degree both taxi drivers and taxi owners. The study also points out the fact that geography/space is critical to our understanding of certain industries and successful application of labour regulation laws. Finally the study concludes that different localities impact on the intensity and duration of the labour process(es) therefore negates the successful uniform application of labour laws. / Dissertation (MSocSci)--University of Pretoria, 2012. / Sociology / unrestricted

In this report a machine learning method using artificial neural networks to estimate taxi demand in different geographical zones in the city of Stockholm is proposed. An attempt to determine the most important input features that affect taxi ridership is performed and a network architecture is conceived and trained using taxi ridership data from a major taxi company operating in the city. The results show that except for the two basic input parameters, the hour of the day and the zone, the day of the week is clearly the most important factor. Also days after payment and month of the year seems to be mildly relevant factors while rain and temperature hardly affect the results at all. The final network model conceived was capable of estimating taxi demand in Stockholm with an average error of 2.73 rides and a success rate of 46 % of the rides using a boundary of 30 % or 1 ride. / I den här rapporten utvecklas och utvärderas en metod för att uppskatta taxibehov i olika geografiska zoner i Stockholm med hjälp av artificiella neurala nätverk. Rapporten fokuserar på att ta reda på de mest relevanta parametrarna som påverkar taxiåkande. Dessa används som indata till ett neuralt nätverk som tränas med historisk data från ett av Stockholms största taxibolag. Resultaten visar hur vissa parametrar såsom timme på dygnet samt veckodag tydligt påverkar mängden taxiresor i olika områden medan andra parametrar såsom temperatur och nederbörd knappt påverkar taxiresande alls. Det slutliga valet av modell och inputparametrar lyckas förutspå korrekt antal körningar med ett snittfel på 2.73 körningar eller i 46 % av fallen i testdatan när man räknar en korrekt uppskattning att ligga som mest 30 % eller en körning ifrån det korrekta värdet.

All passengers travel at the hour most convenient to them. But it is not always possible to find a flight at the right time to fly them to their destination. In the case where service in any one time period is insufficient to meet air travel demanded, it may be expected that some unfilled demand passengers will either delay their flight or will advance it, thus adding to the effective demand of the adjoining time periods.The obvious alternate means of travel is a rental car. It takes a lot more time than flight, but it is readily available at any given time. This brings us to think of an airline system that will work in a similar fashion; A system that can be named an "Air Taxi System." This would mean a virtual highway in air space leading to a vast network. The network would be served by small aircraft flying from one city to another loading and unloading passengers. Such a large network having dynamic demand will have many issues to resolve before successfully launching a Small Aircraft Transportation System. One of the most important problems to solve is scheduling of aircraft for such a stochastic demand flow. The objective of the research is to study a given set of airports with dynamic demand and known aircraft type. The major task will be to analyze the flow of passengers between each origin-destination pair and then schedule flights. The research will be to develop a schedule for a fixed set of airports with dynamic demand and known type of aircraft. The main objective is to maximize demand satisfaction. The study will also analyze the number of aircraft required for a given set of airports and find a method to schedule them. / Master of Science

Autonomous electric vehicles are set to replace most conventional vehicles in the near future. Extensive research is being done to improve efficiency at the individual and fleet level. There is much potential benefit in optimizing the deployment and rebalancing of Autonomous Electric Taxi Fleets (AETF) in cities with dynamic demand and limited charging infrastructure. We propose a Fleet Management System with an Online Optimization Model to assign idle taxis to either a region or a charging station considering the current demand and charging station availability. Our system uses real-time information such as demand in regions, taxi locations and state of charge (SoC), and charging station availability to make optimal decisions in satisfying the dynamic demand considering the range-based constraints of electric taxis. We integrate our Fleet Management System with MATSim, an agent-based transport simulator, to simulate taxis serving real on-demand requests extracted from the San Francisco taxi mobility dataset. We found our system to be effective in rebalancing and ensuring efficient taxi operation by assigning them to charging stations when depleted. We evaluate this system using different performance metrics such as passenger waiting time, fleet efficiency (taxi empty driving time) and charging station utilization by varying initial SoC of taxis, frequency of optimization and charging station capacity and power.

Autonomous electric vehicles are set to replace most conventional vehicles in the near future. Extensive research is being done to improve efficiency at the individual and fleet level. There is much potential benefit in optimizing the deployment and rebalancing of Autonomous Electric Taxi Fleets (AETF) in cities with dynamic demand and limited charging infrastructure. We propose a Fleet Management System with an Online Optimization Model to assign idle taxis to either a region or a charging station considering the current demand and charging station availability. Our system uses real-time information such as demand in regions, taxi locations and state of charge (SoC), and charging station availability to make optimal decisions in satisfying the dynamic demand considering the range-based constraints of electric taxis. We integrate our Fleet Management System with MATSim, an agent-based transport simulator, to simulate taxis serving real on-demand requests extracted from the San Francisco taxi mobility dataset. We found our system to be effective in rebalancing and ensuring efficient taxi operation by assigning them to charging stations when depleted. We evaluate this system using different performance metrics such as passenger waiting time, fleet efficiency (taxi empty driving time) and charging station utilization by varying initial SoC of taxis, frequency of optimization and charging station capacity and power.