Search results

The purpose of this paper is to estimate and compare the service quality of the city bus service measured by two different approaches which are subjective service quality dimensions and objective service quality dimensions.

The objective service quality dimensions have been estimated based on the benchmarking technique provided by the Ministry of Urban Development, India. For the analysis of subjective service quality dimensions, a questionnaire survey has been conducted to measure the users’ satisfaction and dissatisfaction about the service. The questionnaire consists of users’ socioeconomic characteristics and 23 questions related to city bus service quality dimensions. Questionnaire data have been analyzed by factor analysis, regression analysis and path analysis to find out the indicators representing subjective service quality dimensions. Finally, the overall service quality of the bus service has been determined based on both the measures.

The study indicates that the overall service quality of the bus service is different for subjective and objective analyses. While the objective measures show that the service quality is very good, the subjective measures indicate that the service is not doing well.

The analysis of the subjective dimensions is complicated. Analysis of the subjective dimensions needed more expertise and resources than the objective analysis.

In this study, the estimated service quality of the bus service is more reliable than the other methods as it comprises of both operators’ perspective and passengers’ expectations from the service.

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

This paper produces a viable option for transit agencies to reduce their operation costs.

This study aims to optimize the traffic capacity allocation to solve the problem of low share of public transit in the landside system so as to get rid of the congestion trouble in landside traffic. The optimal timetable for airport buses can be searched by changing the departure interval of each line and evaluating the corresponding performance continuously.

This paper constructs a simulation model based on the real-world situation in Beijing Capital International Airport (BCIA), which simulates the whole process of airport bus schedules and analyzes the connections among multiple steps for transferring. The evaluation system is constructed by considering the benefits of passengers, airports and companies comprehensively. The optimal timetable for airport buses can be searched by changing the departure interval of each line and evaluating the corresponding performance continuously.

According to the experimental results, an excellent evacuation effect can only be achieved when the majority of departure intervals of airport buses are shortened to 50% of their original values, and some busy routes such as the Beijing Station line are supposed to be reduced to one-third of their original fixed intervals. As the airport bus passenger flow presents an obviously periodic variation over days, the timetable of the airport bus is supposed to be redesigned every day. A flexible bus timetable can not only meet the dynamic passenger flow but also enhance the attractiveness of public transit.

This paper constructs a simulation model based on the real-world situation in BCIA, which can not only model the complex scenes in the whole process of airport bus schedules but also reflect the intricate interaction between transferring passengers and vehicles caused by dense streamlines.

The transport system is fundamental to both meeting social needs and providing the lifeblood for the economy. In recent years, transport and especially the automotive sector has had to respond to increased competition and environmental concerns. Technological innovations in transport appear particularly important since they could provide competitive advantage for providers of transport technology and also address environmental issues. This article considers both short‐term and long‐term policy implications which emerge from analysis of national foresight studies in the area of transport.

Fully automatic operation (FAO) metro system is the trend of urban rail in modern cities. This study aims to develop a service quality scale for measuring passenger service perception in the context of FAO metro system.

Based on the interviews and the dimensions proposed in the previous service quality scales of the public transport sector, this study develops a multidimension service quality scale. Face-to-face interviews and surveys are conducted to obtain the riding experience and satisfaction of passengers in the metro stations of Beijing Subway Yanfang Line and Beijing Daxing International Airport Express that are FAO metro lines. Reliability, validity and nomological validity of our scale are demonstrated.

Six dimensions (i.e. tangibles, information, safety, efficiency, empathy and innovation) and 22 items are included in the scale through quantitative analysis. It is found that all of the six dimensions have a significant relationship with passenger satisfaction. Especially information and innovation are the more important dimensions of FAO metro system service quality.

This study contributes to the service quality literature in the public transport sector taking the FAO metro system as the object. The findings may provide a guide for the FAO metro operators to evaluate and improve their service quality.

The Algerian transport sector has undergone profound changes in recent decades with its privatization. Transport sector liberalization has achieved its primary objectives aimed at increasing public transport supply, but it has been accompanied by travel conditions deterioration because of public regulation insufficiency. For this, the Algerian State has put regulatory and institutional mechanisms to improve urban transport service quality. These mechanisms directly impose on operators and managers of transport means reception stations to meet the expectations of road users. The purpose of this study is to draw a portrait of the service quality of the Algerian urban transport. For this, a fieldwork was carried out in Batna city to know the degree of satisfaction of urban transport users toward the service offered.

In this work, the authors used questionnaires as a means of data collection. The study sample is composed of 102 users of the line. The questionnaire deals with personal data (age, sex, level of education, family and professional data), data on the nature of travel between the city of Batna and Tazoult (reasons for travel, travel time and the number of trips undertaken) and measure of user satisfaction on the Tazoult–Batna line according to the criteria of service offer, accessibility, information, duration, attention to the customer, comfort, security and environmental impact. In this work, participatory observation was also used to give a better understanding on how the urban network operates in the city. To this end, an observation grid with key questions has been prepared. It is concentrated on three axes: the actual organization of private operators providing urban bus transport, the state of buses, stations and stopping points and the practice of control by the services concerned. For this, trips were made on all urban lines during the study period. Discussions were conducted with some private operators to find out their positions and their roles in the operation of urban bus transport.

The results of this work show that satisfaction levels were average for transport supply, accessibility, duration, attention paid to customer, comfort and safety; however, they were low concerning information and environmental impact. The present work has made it possible to highlight the impacts of urban transport disorganization on the offered service. In addition, taking into account the expectations of users in terms of service quality should have positive impacts for the users themselves, for private and public operators and for urban transport managers.

This work presents a state of knowledge on the service quality in an urban environment and delivers information on the situation in Algeria without pretending to be exhaustive. However, the contribution of this study is not limited to the evaluation of the various criteria themselves, which are found in whole or in part in many studies devoted to this kind of evaluations. The real contribution of this work lies in highlighting the impacts of urban transport disorganization on the offered services quality. This disorganization is essentially characterized by a weakness or absence of an institutional framework and the multiplication of actors at different levels of intervention, which creates overlapping responsibilities or organizational gaps.

The purpose of this paper is to analyze the identification, evaluation and treatment of risks, as well as the appetite and corporate maturity in relation to enterprise risk management in the urban bus market of the city of São Paulo, Brazil.

A qualitative case study was formulated in two stages: the first one includes an interview with a bus market specialist and the second stage comprehends eight interviews with executives from bus chassis and coachwork manufacturers and bus fleet operators of this market.

The results show that larger companies tend to manage their risks in a more structured way when compared with smaller ones, although there are some exceptions. The most critical risks evaluated concerns to the political type followed by the economic/financial, strategic, environmental, social, operational, technological, image and ethical types; and the risk appetites are generally consistent with the risks criticality level.

This case study of an important sector in the economy can be emblematic for the adoption of good practices of risk management by managers.

Risk appetites are generally consistent with criticality and the main forms of treatment are to reduce, share and follow, linked to participation in representative associations.

The history and development of urban transportation sysems in Brazil are reviewed in some detail. Early urban developments were served by rail and relied upon the rail transit systems but this has deteriorated since the 1930s as a result of high urban growth rate. Rail transport has chiefly been replaced by buses and micro‐buses, and latterly by cars but these have compounded rather than improved the situation. Industrialisation in the 1950s had a profound effect as existing networks were unable to cope with rapid urban development and growth. The social implications of transport costs, wasted travel time, the development of slum areas in inner cities, are considered and viewed as a poor reflection on an industrial and urban economy such as Brazil. The conclusion is drawn that the transportation system may ultimately jeopardise the continuity of Brazil′s industrialisation and modernisation.

The study aims to propose an intelligent real-time traffic model to address the traffic congestion problem. The proposed model assists the urban population in their everyday lives by assessing the probability of road accidents and accurate traffic information prediction. It also helps in reducing overall carbon dioxide emissions in the environment and assists the urban population in their everyday lives by increasing overall transportation quality.

This study offered a real-time traffic model based on the analysis of numerous sensor data. Real-time traffic prediction systems can identify and visualize current traffic conditions on a particular lane. The proposed model incorporated data from road sensors as well as a variety of other sources. It is difficult to capture and process large amounts of sensor data in real time. Sensor data is consumed by streaming analytics platforms that use big data technologies, which is then processed using a range of deep learning and machine learning techniques.

The study provided in this paper would fill a gap in the data analytics sector by delivering a more accurate and trustworthy model that uses internet of things sensor data and other data sources. This method can also assist organizations such as transit agencies and public safety departments in making strategic decisions by incorporating it into their platforms.

The model has a big flaw in that it makes predictions for the period following January 2020 that are not particularly accurate. This, however, is not a flaw in the model; rather, it is a flaw in Covid-19, the global epidemic. The global pandemic has impacted the traffic scenario, resulting in erratic data for the period after February 2020. However, once the circumstance returns to normal, the authors are confident in their model’s ability to produce accurate forecasts.

To help users choose when to go, this study intended to pinpoint the causes of traffic congestion on the highways in the Bay Area as well as forecast real-time traffic speeds. To determine the best attributes that influence traffic speed in this study, the authors obtained data from the Caltrans performance measurement system (PeMS), reviewed it and used multiple models. The authors developed a model that can forecast traffic speed while accounting for outside variables like weather and incident data, with decent accuracy and generalizability. To assist users in determining traffic congestion at a certain location on a specific day, the forecast method uses a graphical user interface. This user interface has been designed to be readily expanded in the future as the project’s scope and usefulness increase. The authors’ Web-based traffic speed prediction platform is useful for both municipal planners and individual travellers. The authors were able to get excellent results by using five years of data (2015–2019) to train the models and forecast outcomes for 2020 data. The authors’ algorithm produced highly accurate predictions when tested using data from January 2020. The benefits of this model include accurate traffic speed forecasts for California’s four main freeways (Freeway 101, I-680, 880 and 280) for a specific place on a certain date. The scalable model performs better than the vast majority of earlier models created by other scholars in the field. The government would benefit from better planning and execution of new transportation projects if this programme were to be extended across the entire state of California. This initiative could be expanded to include the full state of California, assisting the government in better planning and implementing new transportation projects.

To estimate traffic congestion, the proposed model takes into account a variety of data sources, including weather and incident data. According to traffic congestion statistics, “bottlenecks” account for 40% of traffic congestion, “traffic incidents” account for 25% and “work zones” account for 10% (Traffic Congestion Statistics). As a result, incident data must be considered for analysis. The study uses traffic, weather and event data from the previous five years to estimate traffic congestion in any given area. As a result, the results predicted by the proposed model would be more accurate, and commuters who need to schedule ahead of time for work would benefit greatly.

The proposed work allows the user to choose the optimum time and mode of transportation for them. The underlying idea behind this model is that if a car spends more time on the road, it will cause traffic congestion. The proposed system encourages users to arrive at their location in a short period of time. Congestion is an indicator that public transportation needs to be expanded. The optimum route is compared to other kinds of public transit using this methodology (Greenfield, 2014). If the commute time is comparable to that of private car transportation during peak hours, consumers should take public transportation.

This paper aims to address the urban mobility and traffic congestion problem under environmental dynamics to improve mobility and reduce traffic congestion using system dynamics (SD) simulation and scenarios.

SD simulation was used to analyze urban mobility and traffic congestion. Data were collected from the Transportation Department of Surabaya City. Several scenarios to improve urban mobility and reduce traffic congestion were developed by modifying the structures and parameters of the model.

Several factors influence urban mobility, including modal split, trip frequency, delay performance and the ratio of public transport supply and demand. Urban mobility, daily traffic and road capacity are some factors that affect traffic congestion. Scenarios can be designed based on the assumptions of the proposed strategy.

The study was conducted at Surabaya City, East Java, Indonesia, which is the fourth most-congested city in the world.

By implementing several strategies (mass rapid transit and bus rapid transit development and public transport delay reduction), mobility performance is projected to be improved by 70.34-92.96%. With this increased mobility, traffic congestion is projected to decline by 52.5-65.8%.

The novel contributions of this research are: formulating relationships between several variables; modeling dynamic behavior of urban mobility and traffic congestion; and building scenario models to improve mobility and reduce traffic congestion in Surabaya. With the increase in urban mobility and the decrease in average daily traffic, traffic congestion could be reduced by a minimum of 57.6% and a maximum of 69%.