scholarly journals MODELING THE TRAVEL DEMAND IN A COUNTY ROAD PUBLIC TRANSPORT SYSTEM

Author(s):  
Ilie Sorin ◽  
Mitran Gabriela
Author(s):  
Yanyan Gu ◽  
Yandong Wang

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.


Author(s):  
Adni Bidari Putri ◽  
◽  
Muhammad Farda ◽  
Sigit Puji Santosa ◽  
Puspita Dirgahayani ◽  
...  

Bali Province in Indonesia is one of the most attractive tourist destinations in the world. The number of tourists visiting this province keeps increasing year by year parallel with the increase of the population of local citizens. Such a phenomenon will certainly increase travel demand and put pressure on the current transport infrastructure. Hence, transport infrastructure development is essential to support the travel demand. This study explores the possibility of implementing a new public transport system in the South Bali District, a district with numerous tourist attractions and activity centres. Data collection on the current transport system and land use in the district were carried out to understand potential corridors for public transport. A stated preference survey was also conducted to discover the public transport mode preferred by the respondents, encompassing tourists and local citizens. This study then recommends the type of public transport mode to be implemented in the district based on i) space availability, ii) respondent preference, and iii) ability to accommodate demand based on calculation. The study concludes that Automated Rapid Transit (ART) is a mode that has the highest potential to be implemented in South Bali Districts.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu

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.


2021 ◽  
pp. 0308518X2110271
Author(s):  
Yao Shen ◽  
Yiyi Xu ◽  
Zhuoya Huang

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.


2021 ◽  
Vol 13 (6) ◽  
pp. 3440
Author(s):  
Michał Baran ◽  
Duszan Józef Augustyn

The phenomenon of social exclusion caused by transport exclusion is one of the main causes of social problems in peripheral areas, as well as a major organizational challenge for public service providers and all organizations operating in the areas where this problem occurs. Transport exclusion has a negative impact on the dynamics of socioeconomic processes and may interfere with sustainable development plans of stakeholders operating in a given area. The phenomenon is characterized by particular intensity in peripheral border localities with a low population density and outdated public transport system (established in the past to meet the needs of industrial society). The aim of this analysis is to present the basic principles of a conceptual model that combines the estimation of the scale of the transport exclusion phenomenon (in accordance with the specificity of peripheral border areas) with the idea of institutionalized carpooling based on effective information management. The usefulness of the said model underwent verification with respect to the possibility of estimating the scale of transport exclusion in peripheral border areas based on the example of the Polish–Slovak border area (Lesko Commune and Snina District). During the course of the research, factors characterizing the currently functioning public transport system were also indicated. They proved the system’s inadequacy for the challenges faced by the post-industrial society.


1987 ◽  
Vol 20 (3) ◽  
pp. 95-100
Author(s):  
P. Michelberger ◽  
L. Lesley ◽  
P. Varlaki

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