scholarly journals Estimation of Satisfied Customers in Public Transport Systems: A New Methodological Approach

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.

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1501
Author(s):  
Juan Ruiz-Rosero ◽  
Gustavo Ramirez-Gonzalez ◽  
Rahul Khanna

There is a large number of tools for the simulation of traffic and routes in public transport systems. These use different simulation models (macroscopic, microscopic, and mesoscopic). Unfortunately, these simulation tools are limited when simulating a complete public transport system, which includes all its buses and routes (up to 270 for the London Underground). The processing times for these type of simulations increase in an unmanageable way since all the relevant variables that are required to simulate consistently and reliably the system behavior must be included. In this paper, we present a new simulation model for public transport routes’ simulation called Masivo. It runs the public transport stops’ operations in OpenCL work items concurrently, using a multi-core high performance platform. The performance results of Masivo show a speed-up factor of 10.2 compared with the simulator model running with one compute unit and a speed-up factor of 278 times faster than the validation simulator. The real-time factor achieved was 3050 times faster than the 10 h simulated duration, for a public transport system of 300 stops, 2400 buses, and 456,997 passengers.


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.


2020 ◽  
Vol 308 ◽  
pp. 01005 ◽  
Author(s):  
Chinasa Sueyoshi ◽  
Hideya Takagi ◽  
Yoshihiro Yasutake ◽  
Kentaro Inenaga

Public transportation is becoming increasingly important in regions where the residential population is decreasing. In Japan, many regional transportation systems are experiencing financial challenges. It is difficult for fixed-route transportation systems to operate at a surplus when serving only local resident users. We consider one of the problems of these regional public transport systems to be the lack of information on the Internet about regional public transportation routes. For people who are unfamiliar with the region, such as inbound tourists, there is no easy way to conduct a route search. In this paper, we describe our efforts to build a fundamental database of the regional public transportation provided by municipalities and to publish this data for those conducting route searches on the Internet. Specifically, we converted fundamental data regarding regional public transportation to the feed of the General Transit Feed Specification-Japan (GTFS-JP), which is based on the Google GTFS, as formulated by the Ministry of Land in Japan. Then we encouraged municipalities to publish these transit data to enable route searches on Google Maps and other domestic-content providers.


2018 ◽  
Vol 229 ◽  
pp. 04020
Author(s):  
Yossyafra ◽  
Ingrid Haryana B ◽  
Yessi Ferdina

Flood disaster in the urban area can have an impact on the transport of people, goods, and animals. It will certainly result in the disruption of public transportation activities because the road and utilities are probably cannot be passed by vehicles. The objective of the research is to contribute to the analytical basis related to urban public transport services resilience evaluation during the flood. The simulation model is based on the assumption that the primary objective of an urban public transport service during a flood disaster is to continue serving passengers on a predefined service corridor. An example of the application and analysis of this simulation model, simulated for three floods condition, i.e. the first is a high flood prediction that may occur in Padang city (based on The Padang City Development Planning document) and two floods that hit in the year 2016 and 2017. These simulations showed that urban public transport service in Padang city is relatively vulnerable to flood disaster. Lesson learned here have implication for urban public transport services. An interesting outcome of this simulation model has obtained the deviation of urban public transport service route during the flood. There are many parameters that affect the resilience of urban public transport services in the face of floods, and these parameters could be a topic for future research


2020 ◽  
Vol 12 (15) ◽  
pp. 5875 ◽  
Author(s):  
Trynos Gumbo ◽  
Thembani Moyo

There have been growing concerns with regards to the state public transportation systems, particularly in the cities of developing countries. Chief among these concerns has been the lack of well-coordinated, efficient, and reliable transportation systems. The city of Johannesburg, just like any other fast-growing municipality in developing and emerging economies, has not been spared with regards to incessant public transport challenges. Consequently, there have been collective efforts from both public and private stakeholders to invest immensely in both innovative rail and road transport systems in the past decade. This article sought to achieve twin objectives. First, the work identified the state of connectivity between the rapid rail transportation and rapid bus transit systems based on Geoweb 2.0 data. Second, the work visualized the level of connectivity between these two modes to develop and formulate policy frameworks in integrating public transit systems in cities of the developing world, learning from the metropolitan city of Johannesburg. A mixed-method approach consisting of spatial and quantitative aspects was used to examine the state of connectedness and the promotion of access and mobility between the two modes. The local Moran’s I index was used to compute node clusters within the public transport system. Results from the analysis demonstrated that both high-clusters and low-clusters exist in the public transportation network, which have a high degree of centrality. It was revealed that commuters navigate from these nodes/stops with relative ease due to the short walking radius. However, the work revealed that most rail networks and bus routes, as well as the stations and bus stops, are not connected and are not significant in the local Moran’s I index, thus, making it difficult for commuters to conveniently move from the Gautrain to the Rea Vaya bus. There are, therefore, gaps with regards to the sharing of infrastructure between the two public transport modes and systems.


2019 ◽  
Vol 8 (5) ◽  
pp. 150 ◽  
Author(s):  
Sara Ramos ◽  
Paula Vicente ◽  
Ana M. Passos ◽  
Patrícia Costa ◽  
Elizabeth Reis

This article presents the outcomes of a qualitative study involving users of public transportation in the metropolitan area of Lisbon in order to obtain a deeper understanding of attitudes towards public transport and to explore perceptions of the public transport service. It is important to know what people think and feel about public transport so that strategies can be designed to attract people to public transport. Ethnographic interviews and focus group discussions were conducted to identify factors that potentially influence people’s perceptions and determine their satisfaction, or dissatisfaction with the public transport service. The key findings suggest that public transport usage would increase if the level of service was brought in line with users’ expectations; more specifically, there should be a better connection between inter-modal options, more compliance with timetables, and a more appropriate response to users’ needs.


Author(s):  
Gerhard Grundnig ◽  
Christian Pucher

Wheel detection and axle counting systems provide the basic information for track vacancy detection, for controlling level crossing systems and a range of switching tasks or trigger functions. This technology is established throughout the world for standard gauge railways and is increasingly replacing track circuits. The requirements and the framework conditions in rail-based public transportation systems do, however, differ significantly from those in the standard-gauge railway and long distance track sectors. Nevertheless, in this segment too there is a clear trend towards wheel detection and axle counting systems. New lines and projects are increasingly being equipped with modern axle counting systems due to the benefits in terms of functionality and operating costs. Nowadays even in railed public transport systems, there is a clear move from track circuit systems to wheel detection and axle counting technology.


2015 ◽  
Vol 14 (3) ◽  
pp. 286-310 ◽  
Author(s):  
Gwendolyn Y. Purifoye

Research on public transportation systems has often focused on racialized and institutionalized dynamics that result in poor and ethno–racial minority neighborhoods being underserved. Few scholars have studied raced social interactions on the buses and trains themselves. In this article, I explore how legacies of racism are reproduced through raced social interactions on public buses and trains in Chicago. Drawing on over 3 years of ethnographic field work and interviews, this article demonstrates how ethno–racial minorities, particularly Blacks, experience racial hostilities that are often masked as nice–nastiness. Nice–nastiness is a type of individual expression that combines expressions of politeness with disdain and distancing. Nice–nastiness can be expressed as (1) pretending the “other” does not exist; (2) whispering and lowering one's voice; (3) standing instead of taking a seat; (4) letting others have space for auditory expression; and (5) pseudo–swagger. I locate nice–nastiness on the racial microaggressions and color–blindness continuum and show that this expressive tool is shaped, at least in part, by the closeness, confinement and mobility of public transportation, where escape is not possible, unlike in wide–open spaces. I use public transportation as a space to examine how raced behaviors are enacted in everyday life, and shaped by confinement and motion.


Author(s):  
Gabriel E. Sánchez-Martínez

Origin–destination matrices provide vital information for service planning, operations planning, and performance measurement of public transportation systems. In recent years, methodological advances have been made in the estimation of origin–destination matrices from disaggregate fare transaction and vehicle location data. Unlike manual origin–destination surveys, these methods provide nearly complete spatial and temporal coverage at minimal marginal cost. Early models inferred destinations on the basis of the proximity of possible destinations to the next origin and disregarded the effect of waiting time, in-vehicle time, and the number of transfers on path choice. The research reported here formulated a dynamic programming model that inferred destinations of public transportation trips on the basis of a generalized disutility minimization objective. The model inferred paths and transfers on multileg journeys and worked on systems that served a mix of gated stations and ungated stops. The model is being used to infer destinations of public transportation trips in Boston, Massachusetts, and is producing better results than could be obtained with earlier models.


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