scholarly journals Analysis maintenance costs of the transport fleet on example of the public communication system

2018 ◽  
Vol 19 (6) ◽  
pp. 437-441
Author(s):  
Piotr Gorzelańczyk ◽  
Adam Koszorowski
Keyword(s):  
Fuel Consumption ◽  
Transport System ◽  
Public Transport ◽  
Communication System ◽  
Theoretical Basis ◽  
Urban Transport ◽  
Public Communication ◽  
Maintenance Costs ◽  
The Public ◽  
Public Transport System

The article concerns the costs related to maintaining the transport fleet in a public transport system. It presents the theoretical basis for urban transport, the costs that appear in the context of the transport fleet, the characteristics of the enterprise in question. The next part of the article analyzes the costs related to fuel consumption, operation, service and insurance of vehicles. The analysis shows the differentiation of these costs between individual buses and draws conclusions.

How upright a public bus transport system is desirable for sustainable mobility?

2020 ◽  
pp. 47-61
Author(s):  
Pragati Jain ◽  
Prerna Jain ◽  
Roopesh Kaushik
Keyword(s):  
Factor Analysis ◽  
Transport System ◽  
Public Transport ◽  
Positive Association ◽  
Urban Transport ◽  
Sustainable Mobility ◽  
The Public ◽  
Public Transport System ◽  
Bus Transport ◽  
Bus System

Sustainable mobility demands the inclusion of environment, social and economic sustainabil-ity. Public transport especially the bus system can be explored to fulfill these three sub goals. Globally the uses of personal vehicles have noticed an exponential growth owing to high per capita income and not up to the mark standards of public transport system. The emphasis on the requirement to probe significant questions while designing urban transport policies moti-vates this study to investigate what an ideal public bus system should be like, in the eyes of, those who either do not use or have shifted from public to private mode of travel. A survey on 1554 respondents is conducted to identify the various attributes that the public desire for, of a public bus system. These 12 items or attributes are clubbed into four categories using factor analysis. The logit regression run on the binary outcome "Shift" variable of opting or not opt-ing for public bus system with the four predicator variables (institutional, personnel, personal and qualitative) obtained using factor analysis shows positive association of improvement in these predicators to the outcome of opting for public transport.

THE EXTENT OF INFLUENCE OF O–D MATRIX ON THE RESULTS OF PUBLIC TRANSPORT MODELING

Transport ◽  
2012 ◽  
Vol 27 (2) ◽  
pp. 165-170 ◽  
Author(s):  
Rasa Ušpalytė-Vitkūnienė ◽  
Vytautas Grigonis ◽  
Gražvydas Paliulis
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Break Point ◽  
Urban Transport ◽  
Transport Modelling ◽  
The Public ◽  
Public Transport System ◽  
Route Network ◽  
The Matrix ◽  
The Impact

A rapidly developing and equality-based society needs a reliable and attractive public transport system. With booming mobility in Lithuania, a great importance has been attached to the sustainable development concept, and public transport has been given priority in the urban transport system. Accessibility and comfort of public transport are essential indicators that guarantee equal travelling opportunities for all people. Transport modelling is the only economical and sufficiently reliable way to carry out a forward assessment of the impact of innovations to be applied to the overall system without involvement of passengers. This paper considers estimation of the origin–destination (O–D) matrix and its size correction. The public transport (PT) system of Vilnius City was taken as a basis for the research. Modelling of Vilnius City public transport was carried out with the help of VISUM software. Modelling of the public transport route network in Vilnius is aimed at improving the quality of life of inhabitants of the city. The O–D matrix is one of the key elements in modelling. Reliability of modelling results is based on reliability and size of the matrix. Although many scientists analyse the problem of estimating an O–D matrix, this paper focuses on the size of the O–D matrix required in order to give reliable results in PT modelling. During the first step, the matrix of 230 transport districts is estimated, which is reduced by 10 percent with every following step. The aim of this article is to find the break point in the size of O–D matrix where the reliability of PT modeling results falls.

Passenger exchange point modification in the urban transport system as response to current threats - Covid-19

2020 ◽  
Vol 130 ◽  
pp. 95-103
Author(s):  
Katarzyna Skrobot
Keyword(s):  
Adverse Effects ◽  
Transport System ◽  
Public Transport ◽  
Urban Transport ◽  
Transport Capacity ◽  
The Public ◽  
Public Transport System ◽  
Exchange Point ◽  
Urban Bus ◽  
Bus Transport

The article attempts to solve the necessity to introduce changes to the public transport system regarding passenger exchange points to increase the safety of people traveling with public transport. ZTM, which is servicing urban bus transport in Warsaw, needs to implement necessary elements very urgently to avoid the coronavirus pandemic's adverse effects. As the virus spreads rapidly, it is essential to propose solutions that will increase travelers' safety and increase public transport capacity. It is necessary to modify and extend the bus stop's functionality as a passenger exchange point with disinfection elements and ensure that people can only enter the bus after disinfection.

scholarly journals Competitiveness of the public transport and car owner behavior: interrelations and contradictions in the light of sustainable development of the metropolis

2020 ◽  
Vol 208 ◽  
pp. 05005
Author(s):  
Irina Skorobogatykh ◽  
Zhanna Musatova ◽  
Roman Sidorchuk ◽  
Natalia Ivashkova ◽  
Petr Nevostruev
Keyword(s):  
Sustainable Development ◽  
Transport System ◽  
Public Transport ◽  
Negative Impact ◽  
Urban Transport ◽  
Transport Systems ◽  
Successful Implementation ◽  
The Public ◽  
Public Transport System

Consistent actions taken by car manufacturers to improve the quality of vehicles make them easier to use and reduce their negative impact on the environment significantly strengthen the competitiveness of personal transport. At the same time, high investments in the development of urban transport systems (especially large ones) create conditions for the mobility of all population groups, but do not significantly affect the competitiveness of public transport. At the same time, the high competitiveness of the public transport system is a sign of the successful implementation of the concept of sustainable development of the territory, making it more attractive for tourism and stimulating its development. The study of the limitations of the analysis of the competitiveness of public transport is conducted in this article along with an analysis of the factors that influence the choice of citizens in terms of mobility for their daily tasks. The article presents the results of an empirical study of relations between Moscow residents and public transport, changes in the intensity of use of personal cars in the period 2015-2020. During this period, the transport system has undergone significant positive changes, which have affected the perception of comfort and accessibility of public transport in Moscow.

Using weighted multilayer networks to uncover scaling of public transport system

2022 ◽  
pp. 239980832110629
Author(s):  
Yanyan Gu ◽  
Yandong Wang
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Travel Demand ◽  
Urban Land Use ◽  
Urban Transport ◽  
Node Degree ◽  
Transport Networks ◽  
Multilayer Network ◽  
The Public ◽  
Public Transport System

The public transport system is considered as one of the most important subsystems in metropolises for achieving sustainability objectives by mediating resources and travel demand. Representing the various urban transport networks is crucial in understanding travel behavior and the function of the transport system. However, previous studies have ignored the coupling relationships between multi-mode transport networks and travel flows. To address this problem, we constructed a multilayer network to illustrate two modes of transport (bus and metro) by assigning weights of travel flow and efficiency. We explored the scaling of the public transport system to validate the multilayer network and offered new visions for transportation improvements by considering population. The proposed methodology was demonstrated by using public transport datasets of Shanghai, China. For both the bus network and multilayer network, the scaling of node degree versus Population were explored at 1 km * 1 km urban cells. The results suggested that in the multilayer network, the scaling relations between node degree and population can provide valuable insights into quantifying the integration between the public transport system and urban land use, which will benefit sustainable improvements to cities.

scholarly journals EFFICIENCY ASSESSMENT OF MEASURES TO INCREASE SUSTAINABILITY OF THE TRANSPORT SYSTEM

Transport ◽  
2021 ◽  
Vol 36 (2) ◽  
pp. 123-133
Author(s):  
Irina Makarova ◽  
Ksenia Shubenkova ◽  
Anton Pashkevich
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Urban Transport ◽  
Environmental Friendliness ◽  
The Public ◽  
Public Transport System ◽  
Social Sphere ◽  
Route Network ◽  
Efficiency Assessment ◽  
Radar Map

This paper considers managerial approaches to increase efficiency of the urban transport system such as promotion and integration of sustainable modes of transport, development of public transport route network, renewing the existing vehicle fleet and shift to environmental friendly fuel types in the public transport system. To assess such kind of efficiency, it is proposed to take into account the economic viability of suggested solutions as well as their influence on social sphere, environmental friendliness and sustainability of the urban transport system. The city of Naberezhnye Chelny (Russia) was chosen for the case study, where the following measures were modelled: changes of bus route network and choice of an optimal fleet on routes depending on passenger flow by hours of day. In addition, the efficiency of these measures were assessed. To evaluate the sustainability of the proposed route network, the method of “radar map” was used, which shows both strengths and weaknesses of selected indicators. Together with this evaluation, analysis of risks in managing the urban bus transportation was carried out.

scholarly journals Comparative TCO Analysis of Battery Electric and Hydrogen Fuel Cell Buses for Public Transport System in Small to Midsize Cities

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu
Keyword(s):  
Fuel Cell ◽  
Transport System ◽  
Public Transport ◽  
Transport Sector ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Fuel Cost ◽  
The Public ◽  
Public Transport System ◽  
Bus Body

This paper shows the results of an in-depth techno-economic analysis of the public transport sector in a small to midsize city and its surrounding area. Public battery-electric and hydrogen fuel cell buses are comparatively evaluated by means of a total cost of ownership (TCO) model building on historical data and a projection of market prices. Additionally, a structural analysis of the public transport system of a specific city is performed, assessing best fitting bus lines for the use of electric or hydrogen busses, which is supported by a brief acceptance evaluation of the local citizens. The TCO results for electric buses show a strong cost decrease until the year 2030, reaching 23.5% lower TCOs compared to the conventional diesel bus. The optimal electric bus charging system will be the opportunity (pantograph) charging infrastructure. However, the opportunity charging method is applicable under the assumption that several buses share the same station and there is a “hotspot” where as many as possible bus lines converge. In the case of electric buses for the year 2020, the parameter which influenced the most on the TCO was the battery cost, opposite to the year 2030 in where the bus body cost and fuel cost parameters are the ones that dominate the TCO, due to the learning rate of the batteries. For H2 buses, finding a hotspot is not crucial because they have a similar range to the diesel ones as well as a similar refueling time. H2 buses until 2030 still have 15.4% higher TCO than the diesel bus system. Considering the benefits of a hypothetical scaling-up effect of hydrogen infrastructures in the region, the hydrogen cost could drop to 5 €/kg. In this case, the overall TCO of the hydrogen solution would drop to a slightly lower TCO than the diesel solution in 2030. Therefore, hydrogen buses can be competitive in small to midsize cities, even with limited routes. For hydrogen buses, the bus body and fuel cost make up a large part of the TCO. Reducing the fuel cost will be an important aspect to reduce the total TCO of the hydrogen bus.

Multi-occupation segregation through London's tube network

2021 ◽  
pp. 0308518X2110271
Author(s):  
Yao Shen ◽  
Yiyi Xu ◽  
Zhuoya Huang
Keyword(s):  
Public Space ◽  
Transport System ◽  
Public Transport ◽  
Social Performance ◽  
Modern Society ◽  
City Centre ◽  
Segregation Index ◽  
The Public ◽  
Public Transport System ◽  
Transfer Stations

As an extension of public space, the public transport system in modern society is an arena for cross-group interactions. Uncovering social segregation in public transport space is an essential step in shaping a socially sustainable transport system. Based on 2011 origin–destination flow data for London, we simulate the working flows between each pair of connected tube stations for every occupation with minimised transfer times and travelling hours and calculate the multi-occupation segregation index for all tube stations and segments. This segregation index captures the density and diversity aspects of the working population. The results demonstrate that segregation levels vary significantly across stations, lines, and segments. Transfer stations and tube segments in the city centre do not necessarily have lower levels of segregation. Those stations or segments close to a terminus can also be socially inclusive, e.g., Heathrow. Victoria is the line with the lowest levels of segregation, and Green Park is the most socially inclusive station during commuting peaks. The proposed mapping approach demonstrates the spatial complexity in the social performance of the public transport system and provides a tool for implementing relevant policy with improved precision.

scholarly journals Data-Driven Analysis of Bicycle Sharing Systems as Public Transport Systems Based on a Trip Index Classification

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4315
Author(s):  
Mark Richard Wilby ◽  
Juan José Vinagre Díaz ◽  
Rubén Fernández Pozo ◽  
Ana Belén Rodríguez González ◽  
José Manuel Vassallo ◽  
...  
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Transport Systems ◽  
Mathematical Framework ◽  
The Public ◽  
Traffic Lights ◽  
Public Transport System ◽  
Specific Analysis ◽  
Last Mile

Bicycle Sharing Systems (BSSs) are exponentially increasing in the urban mobility sector. They are traditionally conceived as a last-mile complement to the public transport system. In this paper, we demonstrate that BSSs can be seen as a public transport system in their own right. To do so, we build a mathematical framework for the classification of BSS trips. Using trajectory information, we create the trip index, which characterizes the intrinsic purpose of the use of BSS as transport or leisure. The construction of the trip index required a specific analysis of the BSS shortest path, which cannot be directly calculated from the topology of the network given that cyclists can find shortcuts through traffic lights, pedestrian crossings, etc. to reduce the overall traveled distance. Adding a layer of complication to the problem, these shortcuts have a non-trivial existence in terms of being intermittent, or short lived. We applied the proposed methodology to empirical data from BiciMAD, the public BSS in Madrid (Spain). The obtained results show that the trip index correctly determines transport and leisure categories, which exhibit distinct statistical and operational features. Finally, we inferred the underlying BSS public transport network and show the fundamental trajectories traveled by users. Based on this analysis, we conclude that 90.60% of BiciMAD’s use fall in the category of transport, which demonstrates our first statement.

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