A Study on Cooperation of Urban Transport Means: PRT and Light Rail

Grabski, Waldemar; Daszczuk, Wiktor B.

doi:10.20858/tp.2017.12.4.1

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…He concluded that, with an optimized design, a five-berth station can serve up to 600 vehicles hourly. Grabski and Daszczuk [20] identified the network structure, maximum velocity, and number of vehicles as key elements that decide the capacity of PRT. Their goal was to quantify the impact of intersection priority rules on the passenger waiting time, which they used as a metric for the overall system capacity.…”

Section: Related Literaturementioning

confidence: 99%

Assessment of Personal Rapid Transit System Configurations Regarding Efficiency and Service Quality

Gotzler

Neumann

Adenaw

2022

Future Transportation

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In order to transform cities into more liveable, safe, and sustainable places, we must shift our mobility paradigms. As one auspicious concept amongst novel intelligent transportation systems, personal rapid transit (PRT) disaggregates urban transportation into small, electric vessels that are centrally operated on dedicated infrastructure, yielding the potential to make public transit more convenient, affordable, and sustainable all at once. In light of this, we examined the potential performance of PRT in a medium-sized German city. Utilizing the traffic simulator SUMO, as well as a specifically developed open source mobility scenario consisting of infrastructure and travel demand, we assessed the level of service and efficiency. We found that a fleet of 30 vehicles can serve the mobility demand of the chosen city while passenger waiting times are guaranteed to stay below three minutes. Vehicle occupancies can be doubled when coordinating vehicles between stations instead of letting them idle randomly. Furthermore, our results show that different combinations of system designs and operating strategies succeed in meeting typical performance requirements—for instance, an operating strategy where unoccupied vehicles idle randomly can effectively compensate for a reduced fleetsize. Depending on the preliminaries of specific cities, such as the availability of space, travel behavior, political background, or acceptable investment and operational costs, a matching transportation system can be designed around the quantitative findings obtained in this study.

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Section: Related Literaturementioning

confidence: 99%

Assessment of Personal Rapid Transit System Configurations Regarding Efficiency and Service Quality

Gotzler

Neumann

Adenaw

2022

Future Transportation

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“…In studies of scientists were explained the application of micro-simulation at a large establishment and evaluating the impacts of urban freight traffic (Aditjandra et al, 2016), transportation demand management (Barcik, 2018). Analysis of the literature shows that the work of scientists focuses on customer, service quality and passenger satisfaction (Nunes, 2014;Krasnyanskiy, 2016;Umpleby, 2017;Walters, 2017;Huang, 2018;Morchadze, 2018), theoretical aspects of the sustainability in transportation (Krawiec, 2016;Tomanek, 2017;Lee, 2017;Currie, 2018), the role of intelligent technologies for efficient power supply in transport systems (Bosyi, 2017;Grabski, 2017). The high level of interest makes it profitable to use Modeling in transport management (Kii, 2014;Chauhan, 2016;Dolinayova, 2017;Hanumappa, 2018).…”

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confidence: 99%

Innovation Activity Development of Urban Public Transport Service Providers: Multifactor Economic and Mathematical Model

Borysova

Monastyrskyi

Zielińska

et al. 2019

MMI

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Systematization literary sources and approaches for solving the problem of ecologists of «smart» city indicates that among factors that probably can affect the innovativeness of Ukrainian providers of urban public transport services have been used environmental factor, marketing expenses, financial potential, wear rate, level of quality of service, level of management skills, market share, tariff for passenger transportation. The purpose of the study is to identify the ways to improve the innovativeness of urban public transport service providers of the regional centres of Ukraine. The main aim of the research is to estimate the impact of several factor variables on the resulting attribute used multivariate regression analysis, which provided an adequate model. A significant contribution to the development of the theory and methodology of management of urban public transport enterprises were made by Nunes, Krasnyanskiy, Umpleby, Walters, Huang, Morchadze. The results of the evaluation of the innovativeness of Ukrainian providers of urban public transport services carried out based on the mathematical multifactor model are presented in the article. In January-March 2018, the authors initiated a study on the current state of urban public transport in regional Ukrainian cities. Methodological tools of the research were multivariate correlation-regression analysis and survey (the requests for public information were submitted by the Law of Ukraine «On Access to Public Information» to all city councils of Ukraine's regions except temporarily occupied territories). The study included a survey of 20 experts (marketers and experienced managers of transport companies) to determine weighting factors and the level of innovativeness through questionnaires. The expert evaluation was carried out using the marks method. The research has shown that the size of the innovativeness of providers of public transport services can be successfully interpreted through functional and statistical dependencies, which reflect the general and individual laws of the development of such entities using multi-factor mathematical models. The econometric model was tested for the adequacy with the Fisher criterion and the presence of autocorrelation. The research empirically confirms and theoretically proves thatsuch controllable factors are an environmental factor, financial potential, level of quality of service, level of management skills, the tariff for passenger transportation. The model can be used to predict the influence of controllable factors at the level of the innovativeness of providers of urban public transport services. The results of the research can be useful for scientific and practical workers, teachers, students of higher educational establishments. Keywords: econometric model, factors of innovativeness, innovativeness, urban transport, ecologists.

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