scholarly journals The Impact of COVID 19 Pandemic on Service Quality Concerns and Expectations of Passengers towards Public transport Systems in Kerala

2020 ◽  
Vol 1 (1) ◽  
METRON ◽  
2021 ◽  
Author(s):  
Maria Iannario ◽  
Anna Clara Monti

AbstractThe paper deals with ordinal response models to evaluate urban public transport systems with the purpose of interpreting consumers’ responses with reference to their profiles. New methodological developments provide opportunities for a more thorough and accurate analysis of perceived service quality. The evaluation of the uncertainty component accounts for accuracy in the assessments. Diagnostic procedures allow to evaluate model specification, with respect to the proportional odds assumption, the adequacy of the mean structure and the occurrence of heterogeneity. The impact of the covariates on the discrete distribution of the observed response is appraised through their marginal effects. The selection of the appropriate covariates leads to the identification of clusters of users, which are compared through ordinal superiority measures. Consequently critical situations are detected.


The urban population in 2014 accounted for 54% of the total global population, up from 34% in 1960, and continues to grow. The global urban population is expected to grow approximately 1.84%, 1.63% and 1.44% between 2015 and 2020, 2020 and 2025, and 2025 and 2030 respectively. This growing population puts pressure on government not only to accommodate the current and potential citizens but also provide them facilities and services for a better living standard. Providing a sustainable growing environment for the citizens is the biggest challenge for the government. As the populations increase, complexity network of transportation, water and sanitation, emergency services, etc. will increase many folds. SMART CITY Mission is being implemented to resolve this issue. As the cities turn smart, so should the transportation facilities. India on June 2018 had only 20 cities with populations of over 500,000 have organized public transport systems, pointing to the large gap to be bridged in their journey to turn smart. The aim of this paper is to examine the impact of smart card data from public transport for improving the predictions and planning of public transport usage and congestions. The mobile apps like M-Indicator, Google Maps don’t interlink, do not have a real time tracking of vehicles, fare distribution, congestion-based route mapping for public transportation. These factors are addressed in the paper with its advantages and disadvantages. This paper also talks about how information from smart card is to be extracted, how Big Data is to be managed and finally come to a smart, sustainable Urban Transit System. This paper also brings into light the data security issues and measures to curb those issues. This paper proposes and emphasizes on a single smart card for all modes of public transport


Transport ◽  
2006 ◽  
Vol 21 (3) ◽  
pp. 201-206 ◽  
Author(s):  
Rasa Ušpalyte-Vitkūniene ◽  
Marija Burinskiene ◽  
Vytautas Grigonis

The application of information technologies preconditions the optimisation of performance of transport systems: improvement of the performance quality, safety and efficiency of the overall system, increase in capacity, reduction of the trip duration without high financial investment into construction of the new technical infrastructure. The transport modelling is the only economical and sufficiently reliable way to carry out a forward assessment of the impact of the innovations to be applied on the overall system. The network of Vilnius public transport was built up on the data of 2002, and the year 2002 saw the last comprehensive surveys. Building up the PT network the data was taken from the VIDAS database, created in 2002 while drafting the special plan for Vilnius transport infrastructure (tram) development. The morning rush hour, when the passenger flows are maximum, was chosen for the modelling. Calibration of Vilnius PT network was carried out after selection of three possible methods: TSys‐based, Headway‐based and Timetable‐based. In the timetable‐based model Logit, Kirchhoff, BoxCox and Lochse distribution factors are inter‐changed. Analysis of all coefficients received when modelling allows a conclusion that further modelling of the development of Vilnius public transport network should be based on Timetable‐based model choosing Kirchhoff or BocCox distribution laws, whereof conformity to the basic averages of coefficients of the 2002 survey is respectively 0,82 and 0,81. This would facilitate adopting solutions to the development of the public transport systems and would increase their reliability. The calculated coefficients revealed that TSys‐based methods were mostly removed from reality, and the average coefficient of failure to conform to the data of the 2002 survey is 0,24. This method did not give any data about the load on the stops, although the number of trips modelled with the help of this method was most proximate to the survey data, i.e. 0,69 %.


Author(s):  
Deepak Baindur ◽  
Pooja Rao

In most urban areas, buses are the most heavily used form of public transportation[1] and more so in Indian cities where buses make up for over 90% of public transport ridership[2]. In the selected Indian metro cities, where formal bus based PT systems are operated by public agencies, they are over-reliant on state support to sustain operations as fare box collections are inadequate in spite of having relatively high ridership. The main challenge for all this is to achieve long term financial sustainability of public transport systems while providing good quality and affordable bus services.This paper investigates internal and external factors that led to the steep and recurrent fare increases in the Bangalore city bus services in the period from 2012–2014 which are operated by Bangalore Metropolitan Transport Corporation. In order to estimate the impact of the recent bus fare increases that have had on the economically weaker sections of the society dependent on these services, the paper presents the results of a random sampling survey study carried out in a central locality in the city that has a large slum area.The key findings throw light on the various ways in which the low income bus users have adapted to reduce their travel costs through changes in travel behavior, travel pattern and modal shifts. The cost of the behavioral changes through lost opportunities and the cost of the modal shifts of the persons earlier favoring public transportation draw attention to the significance of public transport fare policies. Furthermore, the management and operations of the BMTC agency show scope for improvement which can translate into better revenue generation and consequent reduction in fares.


2021 ◽  
Vol 14 (1) ◽  
pp. 87-103
Author(s):  
Helena Bohman ◽  
Désirée Nilsson

Property prices are known to be higher in places with high accessibility, such as in proximity to train stations and especially to commuter rail, than in places without this access. This study provides a better understanding of how regional accessibility, through the structure of railway networks, can influence local agglomeration economies by providing accessibility to large labor markets. Previous literature has shown a positive impact of proximity to railway stations on housing prices, and our study adds to the literature by analyzing the impact of network structure. We argue that public transport systems can support the benefits of city networks in line with Alonso’s concept of borrowed sizes (1973). Using network theory to measure accessibility provided by the network, we show that stations that provide accessibility to large labor markets across the region are perceived as more attractive by households. Cities in proximity to other cities are strengthened through their public transport links, which allow agglomeration benefits to be exploited by residents.


Author(s):  
E. Dronova ◽  
E. Boklag

The features of the socio-geographic research of urban transport systems impact on the people vital functions are disclosed in this paper. The indicators of transport networks development and current requirements for public transport are analyzed. It is revealed that a key concept of the investigation of transport impact on the population is accessibility. Accessibility is defined as the ability of individual to access to certain centers or services. It involves such aspects as services availability and quality, travel time, cost and effort of movement in space. Article emphasizes that the indigents suffer the cumulative effect of poor transport accessibility, because of their habitats in low-price neighborhoods are often located far from the places of employment or services. The high cost of transportation and required high travel efforts restricts mobility. The map of travel time accessibility to the Kyiv center by public transport was created using the isochronous method. The analysis of this map allows identifying the disparities in the development of the transport network. In some areas a very low accessibility can be revealed due to lack of access roads, land forms complexity, individual housing system, the airport location, railway lines with insufficient number of bridges etc. Particularly difficult situation is typical for such areas as Darnytskyi Railway Carriage Repair Plant region, Juliani, Troyeshchyna and Borschagivka. The average daily passenger traffic flow of the stations of three subway lines in Kiev was analyzed. The maximum and minimum loads and factors that affect them are considered. It is revealed in the research that Kiev transport system has a low level of availability, safety, environmental friendliness and comfort and not enough advantageous for persons with disabilities. The excessive level of automobilization in Kiev can be considered as the evidence of imperfection and inconvenience of the public transport there. From the other hand the motorized vehicles are a factor that displaces public transport from the urban transport system and prevent its development. The priority measures for the improvement of transport situation in Ukraine capital are outlined. They include solving the problem of Dnipro river bridges congestion; enhancement the accessibility of areas cut off by railways in the way of expanding the network of overpasses; construction of the new modes of high-speed light-rail transit; adoption of the traffic automated management system; development and encouragement of the use of environmentally sound forms of transport (vehicles powered by electricity or alternative fuels, etc.).


Author(s):  
Fei Ma ◽  
Fei Liu ◽  
Kum Yuen ◽  
Polin Lai ◽  
Qipeng Sun ◽  
...  

In recent years, the frequent occurrence of rainstorms has seriously affected urban–public transport systems. In this study, we examined the impact of rainstorms on the vulnerability of urban–public transport systems consisting of both ground bus and metro systems, which was abstracted into an undirected weighted Bus–Metro complex bilayer network (Bus–Metro CBN) and the passenger volume was regarded as its weight. Through the changes in the node scale, network efficiency, and passenger volume in the maximal connected component of the Bus–Metro CBN, we constructed a vulnerability operator to quantitatively calculate the vulnerability of the Bus–Metro CBN. Then, the flow-based couple map lattices (CMLs) model was proposed to simulate cascading failure scenarios of the Bus–Metro CBN under rainstorm conditions, in which the rainstorm is introduced through a perturbation variable. The simulation results show that under the condition of passenger flow overload, the network may have a two-stage cascading failure process. The impact analysis shows that there is a rainstorm intensity threshold that causes the Bus–Metro CBN to collapse. Meanwhile, we obtained the optimal node and edge capacity through capacity analysis. In addition, our analysis implies that the vulnerability of the Bus–Metro CBN network in most scenarios is mainly caused by the degradation of network structure rather than the loss of passenger flow. The network coupling strength analysis results show that the node coupling strength has greater potential to reduce the vulnerability than edge coupling strength. This indicates that traffic managers should prioritize controlling the mutual influence between bus stops (or metro stations) to reduce the vulnerability of the Bus–Metro CBN more effectively.


2017 ◽  
Vol 18 (3) ◽  
pp. 28-32
Author(s):  
Adam Selwon ◽  
Kamil Roman

The dynamic development of urban areas has created the need to adapt computer systems used to increased passenger traffic. Increasingly common phenomenon of congestion, contributed to intensify efforts to improve the efficiency of the control flows in agglomerations. For this purpose cities begin to use more and more modern-solving software to improve the functioning of public transport. The aim of the article is to assess and review of current solutions that can be successfully implemented in communication systems, cities in Poland. The publication is also intended to determine the prospects for the development of intelligent transport systems in the future as well as the effects resulting from their continued use.


2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-16
Author(s):  
Mahesh L. Chaudhary

Urban public transport is gaining significant importance in today’s world. This is evident from the fact that it has found its place in United Nations Development Programme’s Sustainable Development Goals in the eleventh goal pertaining to ‘Sustainable cities and communities’. The competitiveness of the cities largely depends on the robustness of their transport systems. In India there has been huge spending on the public transport projects in cities across the country. Ahmedabad, Surat and Rajkot from Gujarat, India have been the beneficiaries of these investments. Capturing the demand side quality of services is very important for such projects and hence the attempt has been made to study whether the commuters’ perceptions on quality of services of Bus Rapid Transit systems vary across different demographic cohorts. There are nine demographic cohorts used for the study. SERVPERF model has been adopted to study the performance of Bus Rapid Transit systems in the said citied. The performance is evaluated over the six factors namely; tangibles, empathy, cleanliness, reliability, safety and affordability. It has been found that Surat tops among the three cities followed by Rajkot and Ahmedabad on various service quality factors. Also commuters’ perception towards quality of service dimensions vary across demographic cohorts like gender, time of travel, education, employment status, length of patronization and purpose of trip.


Sign in / Sign up

Export Citation Format

Share Document