scholarly journals Determination of Operational Efficiency in Urban Public Transport Lines

2021 ◽  
Vol 2 (1) ◽  
pp. 16-20
Author(s):  
Ahmet Atalay

The increasing number of urban centers and the increasing number of vehicles caused by industrialization caused problems such as lack of infrastructure in traffic, environmental pollution and an increase in energy requirements. This situation led the city administrators to search for solutions in order to improve the efficiency of public transportation systems and increase their efficiency. In this study, it is aimed to determine the functional efficiency of the bus lines used in urban public transportation. For this purpose, the lines are classified according to their functional activities by using the functional data of the lines. Both classical cluster analysis and self-organizing mapping (SOM) method were used for classification. Data from Erzurum main public transport lines were used to implement the methods. According to the findings of this study, it was determined that the two methods achieved similar results. As a result, it has been determined that classification of public transportation lines used in cities according to their functional efficiency will be beneficial for decision makers to make correct planning. With the right planning in public transport lines, significant economic and environmental benefits will be obtained.

2021 ◽  
Vol 6 (1) ◽  
pp. 234-244
Author(s):  
Mohd Sahrul Syukri BIN Yahya ◽  
Edie Ezwan Mohd Safian ◽  
Burhaida Burhan

Currently, the trends in urban public transport have been changing over the years in developing countries for mobilization and accessibility development. Urban public transportation systems are the most popular in Selangor State, including big cities such as the Klang Valley Region. Objective measures of spatial pattern and hotspots have been used to understand how urban public transport development relate to open access. This method relies on specific spatial information and available web-based tool that shows the pattern primarily based on given vicinity and statistics connectivity. To date, several studies have finished tested in developed countries. In this study, we use Geographic Information Systems to analyse and consider hotspots identification precisely and efficaciously. Therefore, in this paper, we focus on two types of point sample evaluations – Gi* hot spot and point density analysis evaluation as statistical operations. Public rail transport was evaluated as a validation to describe the percentage of distribution of open access. The final result, GIS mapping capabilities to show that GIS's technology offers to the variation of urban public transport relate to public services, is to create maps and spatial interpretations.


Author(s):  
Maria Morfoulaki ◽  
Yannis Tyrinopoulos ◽  
Georgia Aifadopoulou

This paper addresses quality considerations in public transportation systems and, in particular, the relation between quality of public transport service and customer satisfaction. Its aim is to provide insights into the factors that affect transit-rider satisfaction and to present a model to calculate the probability of customer satisfaction. The proposed model identifies the most important attributes of public transport service quality that can be used for service planning.


2021 ◽  
Vol 23 (06) ◽  
pp. 1608-1617
Author(s):  
K. Sivakumar ◽  

A significant population of our country is folks with an average income who depend on public transportation to go about. But this method of transport has become one of the most chaotic and also has a high percentage of crime sites for numerous incidents. Hence this method has the most insecure position for the public and also pollution generating state. Out of the full population of India as of 2017, around 5.5 percent of the total GDP goes by road dependent on public transit. The aim of this work is to develop a Smart automatic Public transport System with improved security to provide convenience to passengers who are unaware of the complete information about the buses such as availability of seats, journey time, distance traveled, and to make sure they experience the same comfort as their personal vehicles.


Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.


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