scholarly journals THE PROBLEM OF OPTIMIZING BUS ROUTE USING GEOINFORMATION ENVIRONMENT

2022 ◽  
Vol 1 (15) ◽  
pp. 139-144
Author(s):  
Ol'ga Lebedeva
Keyword(s):  
Time Delay ◽  
Transport System ◽  
Public Transport ◽  
Optimal Planning ◽  
Optimization Criteria ◽  
The Public ◽  
Public Transport System ◽  
Urgent Task ◽  
Level Model ◽  
Multi Level

The public transport system is characterized by a complex transport network, intersecting routes and fragmented stopping points. In this regard, the functioning of the transport system to ensure optimal planning of bus transportation is an urgent task. A solution to this problem can be a multi-level model that allows you to represent network objects at several spatial levels, calculate the exact time delay, and meet the needs of planning bus trips with various optimization criteria

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.

Global (Be)Longings

2017 ◽  
Author(s):  
Lindsey B. Green-Simms
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Social Death ◽  
Social State ◽  
The Public ◽  
Public Transport System ◽  
The Difference

You have crossed that awkward, deeply uncomfortable, sometimes shameful social state of being without a car. I mean in some countries where the public transport system works, not having a car is no big deal. But you are in Nigeria, where public transport is living hell, and owning a car can be the difference between life and social death....

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.

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