scholarly journals Benchmarking and Assessment of Good Practices in Public Transport Information Systems

2013 ◽  
Vol 14 (4) ◽  
pp. 325-336 ◽  
Author(s):  
Irina Yatskiv ◽  
Eugene Kopytov ◽  
Domenico Casellato ◽  
Giuseppe Luppino ◽  
Rob McDonald
Keyword(s):  
Information Systems ◽  
Public Transport ◽  
Transport Sector ◽  
Analytic Hierarchy ◽  
Good Practices ◽  
The Public ◽  
Transport Services ◽  
Funded Project ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Abstract The development of the Public Transport (PT) services in the last decade is characterized by wide implementation of various information systems and technologies, which cover different transport services, such as traffic planning, traffic network monitoring, management of operation of PT fleets, providing information to the passengers, ticketing payment, etc. The article considers the research part of a large EU-funded project POLITE aimed at public transport sector and increasing the awareness of infomobility services and PT attractiveness through the application of identified Good Practices and Best Practices. The objective of this paper is presentation of the methodology of benchmarking and assessment of Good Practices and choice of the best one on the basis of the multi-criteria comparative analysis. For assessment of Good Practices the AHP (Analytic Hierarchy Process) method is applied.

Bus Accidents in India, Nepal, Tanzania, and Zimbabwe

2000 ◽  
Vol 1726 (1) ◽  
pp. 16-23 ◽  
Author(s):  
T. Pearce ◽  
D.A.C. Maunder ◽  
T. C. Mbara ◽  
D. M. Babu ◽  
T. Rwebangira
Keyword(s):  
Public Transport ◽  
High Growth ◽  
Transport Sector ◽  
Operational Environment ◽  
Rapid Urbanization ◽  
The Sustainable Development ◽  
The Public ◽  
Transport Services ◽  
Rural And Urban ◽  
Bus Accidents

Countries of the developing world are characterized by rapid urbanization, high growth rates of traffic and congestion, and decreasing regulation of public transport. Because the majority of the developing world’s inhabitants depend on public transport services for their mobility needs, safe, effective, and efficient public transport is essential to ensure adequate and affordable accessibility and the sustainable development of livelihoods in the rural and urban sectors. The operational environment of the public transport sector in Nepal, India, Tanzania, and Zimbabwe is examined, as well as the extent of accidents involving public transport vehicles and the likely causes. Finally, recommendations are made to reduce both the severity and the number of public transport accidents.

scholarly journals DENGAN MENGGUNAKAN METODE AHP (ANALYTICAL HIREARCHY PROCESS) MENENTUKAN OBAT SARIAWAN YANG PALING BANYAK DIMINATI MASYARAKAT

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Leon Deon ◽  
Poningsih Poningsih ◽  
Jalaluddin Jalaluddin
Keyword(s):  
Analytic Hierarchy Process ◽  
Level Structure ◽  
Complex Problem ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
The Public ◽  
Pair Comparisons ◽  
Multi Level ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Many hot medicine products are marketed to the public. Because many products are marketed, making people confused in choosing the best hot medicine in the best. Hot medicine in the most popular community means that the drug is the best medicine for the community. In this research, there are two main problems in the research that can be formulated, namely whether the use of the AHP method can make the decision to determine the heat medication in the most popular community and how to look for a hot medicine decision in the most popular community. Analytic Hierarchy Process (AHP) method is used to find the ratio scale, both from discrete and continuous pair comparisons. AHP decomposes complex multi-factor or multi-criteria problems into a hierarchy. Hierarchy is defined as a representation of a complex problem in a multi-level structure where the first level is the goal, followed by the level of factors, criteria, sub-criteria, and so on down to the last level of alternatives.Keywords: Decision Support System, Analytic Hierarchy Process Method, Internal Medicine

Public Service Evaluation Based on Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 450-451 ◽  
pp. 672-675
Author(s):  
Rong Zou
Keyword(s):  
Analytic Hierarchy Process ◽  
Public Service ◽  
Service Evaluation ◽  
Service Organization ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
The Public ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Public service evaluation based on fuzzy analytic hierarchy process is presented in the paper. Firstly, evaluation indexes of public service are analyzed,and the three-layer evaluation indexes structure is composed of these evaluation indexes of public service. A certain public service organization is employed to study the evaluation performance of the proposed fuzzy analytic hierarchy process method,and the evaluation values of second-level evaluation indexes are given.By analyzing based on fuzzy analytic hierarchy process,the evaluation values of the public service are given.The experimental results indicate that the evaluation level of the public service organization is consistent with the actual situation.

scholarly journals A COVID-19 Public Transport Frequency Setting Model That Includes Short-Turning Options

2021 ◽  
Vol 1 (1) ◽  
pp. 3-20
Author(s):  
Yoran de Weert ◽  
Konstantinos Gkiotsalitis
Keyword(s):  
Public Transport ◽  
Mixed Integer ◽  
Transport Sector ◽  
Quadratic Program ◽  
High Demand ◽  
Social Distancing ◽  
The Public ◽  
Passenger Demand ◽  
Transport Services ◽  
The Impact

The COVID-19 pandemic has had an enormous impact on the public transport sector. After the start of the pandemic, passenger demand dropped significantly for public transport services. In addition, social distancing measures have resulted in introducing pandemic-imposed capacity limitations to public transport vehicles. Consequently, public transport operators should adjust their planning to minimize the impact of the COVID-19 pandemic. This study introduces a mixed-integer quadratic program that sets the optimal frequencies of public transport lines and sublines in order to conform with the pandemic-imposed capacity. The focus is on cases where the public transport demand is high, but the crowding levels inside public transport vehicles should remain below the pandemic-imposed capacities. Of particular interest are public transport lines with skewed demand profiles that can benefit from the introduction of short-turning sublines that serve the high-demand line segments. The frequency setting model is tested on a network containing two high-demand bus lines in the Twente region in the Netherlands, and it demonstrates that the revenue losses due to social distancing can be reduced when implementing short-turning service patterns.

scholarly journals Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman

2019 ◽  
Vol 9 (22) ◽  
pp. 4759 ◽  
Author(s):  
Ahmad Alkharabsheh ◽  
Sarbast Moslem ◽  
Szabolcs Duleba
Keyword(s):  
Analytic Hierarchy Process ◽  
Transport System ◽  
Public Transport ◽  
Market Competition ◽  
Quality Criteria ◽  
Primary Objective ◽  
Urban Transport ◽  
Analytic Hierarchy ◽  
The Public ◽  
Hierarchy Process

The demand for a service includes generally two major components; quality elements and the reasonable and affordable price. Public transport can be considered as a special service, there is no direct market competition for the provider, but the use of private transport modes substitutes the usage of public vehicles. The dominating competitor, the usage of private cars, causes higher CO2 emission and has a serious impact on the environment. Thus, it is important to analyze from market and sustainability point of view which are the preferences of the public for the improvement of the urban transport system. This paper aims to conduct this analysis by including quality criteria and transport fare criteria related to the current service of a city and by setting up and testing a generally applicable model for decision support. Since the acquisition of public preference was the primary objective, and the problem can be considered as decision making, the Analytic Hierarchy Process was selected as methodology. There are previous research results of applying this method on public transport, however, not in an integrated model, in which quality and cost considerations are pairwise compared. Thus, the conventional Analytic Hierarchy Process (AHP) technique was used and the well-proven requisites of consistency and sensitivity check were analyzed. The new model was tested in a case study: surveying the public transport demand in the capital of Jordan, Amman.

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.

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