Passenger perceptions on reliability of an inter-campus bus system

Abstract: Passenger perceptions about reliability are influenced by a number of factors. These factors include average lateness, excess wait time, and buses arriving on time, buses cancelled and buses departing on time. Literature, informs us that passengers have different perceptions about lateness, excess wait time, and buses arriving and departing on time and cancelled buses. Over 60 % of employed South Africans rely on public transport. The research question is, what are the important reliability indicators are for passengers of a University transport system? Extensive research has been done in the areas of transport reliability, but not in the field of transport designated for students. Engineered systems may fail, especially in passenger transport if the perceived value is not experienced by passengers. Among other findings, is that passengers place a great value on the bus schedule times and how those are communicated

Evaluation of the reliability performance of an inter-campus bus system

Abstract: Performance evaluation is important especially in the field of operations management in order to suggest or to find ways to improve existing systems. This research study is part of a large qualitative and quantitative mini-dissertation study and seeks to unpack the reliability performance indicators for an intercampus bus system. Travel time and service reliability measure the performance of any passenger transport system. These look at the time spent on waiting, time spent in transit, punctuality and adherence to the time schedule. This study results are drawn from 121 questionnaires which were successfully completed. Recommendations on the use of Six Sigma and involving other divisions in the operation of the University of Johannesburg Intercampus bus shuttle service in order to improve performance are presented in this study

Evaluating the effects of road hump on speed and noise level at a university setting

This study is carried out to determine the effectivness of road humps to reduce the traffic speed and traffic noise in institutional area. The difference in hump profiles in terms of height, width and length are the main factors in determing the effectiveness of road humps. The difference in the profiles of the road hump will cause changing driver behaviour of the users especially when approaching the road hump. The road humps with different design profiles are selected to measure the speed and noise level of the vehicles at, before and after each of the selected road humps. Radar speed gun and noise level meters are used to measure speed and noise level of the vehicles at each of designated points along the major circular road in IIUM. The changes in speed and noise level at different selected points at each of the different profiles of the road humps are the expected findings of this study

Evaluating the effects of road hump on the speed of vehicles in an institutional environment

Vehicles travelling at speed above the permissible speed limit have jeopardized the safety of road users. The concern is greater at institutional environment whereby most road users travel by walking. Road hump is considered as an efficient traffic calming measure in reducing the speed of the vehicle. This paper investigates the effects of different road hump dimensions in decreasing the speed of vehicles at the main road of International Islamic University Malaysia. Six (6) road humps with different design profile were selected. The design profile and spot speed of the vehicles at all six (6) road humps were measured. The speed of vehicles at the road hump was analyzed by using descriptive analysis and t-test. The findings of this study suggest that road hump is effective in lowering the speed of vehicles in an institutional environment. The dimensions of road hump, especially height, influence significantly the speed reduction of vehicles

Optimizing the B.O.B.

The Kennesaw State University Department of Transportation manages the Big Owl Bus (B.O.B.). The B.O.B. has 9 routes which provide transportation around and between the Kennesaw and Marietta campuses, as well as to select off-campus apartment complexes and shopping centers. We utilized a number of methodologies to recommend improvements to the efficiency and accessibility of the B.O.B. We first used the vehicle routing problem to develop a binary integer linear programming model. This allowed us to determine a new set of routes that minimize total travel time across the routes. Next, we developed an integer non-linear programming model to assign a set of buses to each of the new routes, with the goal of minimizing overall cost. Performing a sensitivity analysis of our solution allowed our recommendations to be more robust. We then created a simulation model to verify our solution. We performed a financial analysis and conducted student surveys and driver interviews to inform our recommendations

The Perceived Image of Transjakarta Bus Rapid Transit

Public transport services provided by Bus Rapid Transit TransJakarta has been launched by the local government of DKI Jakarta as a mass and rapid transport mode that can attract the users of personal vehicle to use this mode of transport. Although the passengers are increasing, but the condition has not reached the optimum level yet. This study is done as an attempt to map the image perceived by the users, either frequent users, occasional users, or non-frequent users. The image projected by the users will depend on the experience degree and information each individual has. The method used here is descriptive analysis and reduction factor to obtain the dimensions of image in the respondents' mind toward TransJakarta bus. The result shows five dimensions that construct the image, namely affective dimension (Eigenvalue = 5,488, or 26% of all variances), dimension of vehicle aspects (Eigenvalue = 1,794, or 8.5% of all variances), dimension of service characteristic (Eigenvalue = 1,635, or 7.8% of all variances), dimension of impact on the trip (Eigenvalue = 1,348, or 6.4% of all variances), and dimension of impact on the user/other people (Eigenvalue = 1,088, or 5.1% of all variances)

Commercial Short-Haul Flight or Autonomous Mobility-On-Demand: Modeling Air Passengers’ Modal Choice

Commercial short-haul flights (SF) are vital to airports and airlines because they account for one-third of hub traffic and have higher profit margins than the long-haul market. While U.S. commercial air passenger travel has increased steadily over the past decades, SF has been declining and was doing so before the unprecedented decrease in air travel caused by restrictions related to the COVID-19 global pandemic. Once autonomous mobility-on-demand (aMoD) is more viable than the human-driven car, demand for SF could be negatively impacted. Although there is published research on SF and aMoD, studies on factors influencing the choice between SF and aMoD are missing. Based on goal framing theory (GFT) variables, contextual trip attributes, COVID-19 items, and demographics, this study used a quantitative survey design to answer two research questions. The first question sought to identify factors that most influence U.S. air travelers’ modal choice for inter-regional travel. The second question aimed to identify distinct passenger clusters for SF and aMoD and evaluate the similarities and differences within these passenger segments. An online questionnaire of 69 items was developed based on extant literature and the theoretical foundation of the GFT. The survey was administered online with an air passenger sample in October 2021 via Amazon’s MTurk Results from 1,388 air passenger respondents qualified for data analyses, including exploratory factor analysis (EFA), multinomial logistic regression (MNL), two-step cluster analysis (CA), and multivariate analysis of variance (MANOVA). The findings support the GFT as a theoretical framework for modeling future mode choice and SF and aMoD clusters. The current primary transport mode was the most critical predictor for future mode choice. Self-efficacy, value of time, trust, and habit are new variables added to the GFT framework. The first two were useful in predicting future mode choice; trust and habit were not. Two-thirds (66%) of the current SF passengers intend to shift to other transport modes once aMoD is available; 31% of the current SF market share could be lost to aMoD and 20% to conventional driving. More than half of the current most-traveled air passengers intend to use aMoD as their main transport choice. The potential significant shifts in the ground- and air-mode shares revealed in this study may have crucial impacts on airlines, airports, infrastructure, future air/land-use planning, and the travel and hospitality industries

An Overview of Sustainability of Transportation Systems: A Quality Oriented Approach

Sustainable transportation system-structure is crucial for the population of mega countries. This system aims to provide better and more qualified alternatives of supplying specific and household requirements while decreasing the ecological and social effects of present mobility applications. The objective of this study is to investigate the risk factors of substantial transportation arrangement in the ordinary railway system and highway transportations. According to the basic issue, which is indicated in this study, the purpose of this research is to define improvements, which can support flexible transportation and control the traffic jams and properties of the proposed structure for the populations in the system. This research supports a conventional review for transportation systems in environmental conditions, pollutions, and forestlands. To address this topic, a quality-oriented implementation was applied to evaluate the failure modes and effect analysis and the significant factors were determined via Pareto Analysis to control and prevent the probable failures in the transportations systems

MethOds and tools for comprehensive impact Assessment of the CCAM solutions for passengers and goods. D1.1: CCAM solutions review and gaps

Review of the state-of-the-art on Cooperative, Connected and Automated mobility use cases, scenarios, business models, Key Performance Indicators, impact evaluation methods, technologies, and user needs (for organisations & citizens)