scholarly journals Towards Improving User Interaction with Navigation Apps: an Information Quality Perspective

2018 ◽  
Vol 3 (1) ◽  
pp. 119 ◽  
Author(s):  
Siam Yamsaengsung ◽  
Borworn Papasratorn
Keyword(s):  
Traffic Congestion ◽  
Information Quality ◽  
User Interaction ◽  
Congestion Avoidance ◽  
User Perceptions ◽  
Four Dimensions ◽  
Large Cities ◽  
Quality Framework ◽  
Concise Representation ◽  
Smart Mobility

Traffic congestion is a major problem for large cities, and with the ubiquitous use of smartphones with GPS capabilities, drivers have increasingly come to rely on navigation applications for avoiding traffic congestion and routing to unfamiliar destinations.  However, in certain situations the suggested route may not be what the user expects and could result in perceived delays over known routes, increased stress and frustration for the driver, or even back tracking.  This has created a situation where drivers perceive that the information provided by navigation applications are not completely reliable and do not follow the suggested routes, thereby reducing the overall effectiveness of congestion avoidance. Additionally, drivers also make additional interaction with the navigation applications to verify the believability of the suggestions routes, creating more distraction and reducing on-road safety.  As such, this preliminary work assesses mobility information quality provided by leading navigation applications (Google Maps and Waze) against four dimensions of the PSP/IQ information quality framework to identify areas for improving information quality in three common driving scenarios.  The results indicate that both apps have similar levels of completeness, concise representation, and consistent representation.  And while the relevancy of the information quality is also similar in both apps, Waze’s representation of the some information elements allowed for quicker comparison and decision making. The findings from this work can be used to enhance user interaction and information presentation in navigation applications in order to improve user perceptions of information quality.Keywords: smart mobility information, mobility information quality, congestion avoidance

User Perceptions of Information Quality in E-Learning Systems

2012 ◽  
pp. 138-145
Author(s):  
Mona Alkhattabi ◽  
Daniel Neagu ◽  
Andrea Cullen
Keyword(s):  
Information Exchange ◽  
Information Quality ◽  
Learning Systems ◽  
Relative Importance ◽  
Quality Factors ◽  
User Perceptions ◽  
Importance Weight ◽  
E Learning ◽  
Quality Framework ◽  
Relative Importance Weight

With the prevalent use of e-learning systems as an information exchange means, the need for quality published materials within these systems has become vital. In previous work by the authors, an information quality framework for e-learning systems was developed. The proposed framework consisted of 14 quality attributes grouped in three quality factors: intrinsic, contextual representation and accessibility. Within the proposed quality framework, the authors assigned a relative importance weight for each attribute within the main quality factors, and a relative importance weight for each factor in the overall quality score. The idea of using relative importance as a parameter for the measurement is important, since it provides the framework with the flexibility to be adopted and used in different e-learning environments and with different users. The importance weights could be updated if a quality attribute or factor appeared to have the same significant value for the quality assessment no longer. This study examines whether any significant gender and cultural related differences exist in user perceptions of the relative importance of the main quality factors within the proposed framework. Reported results are based on the collection of original questionnaire data and t-test analysis supporting the conclusions.

scholarly journals Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2143
Author(s):  
Sara Paiva ◽  
Mohd Abdul Ahad ◽  
Gautami Tripathi ◽  
Noushaba Feroz ◽  
Gabriella Casalino
Keyword(s):  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
City Planning ◽  
Smart Cities ◽  
The Sustainable Development ◽  
Current Trends ◽  
Enabling Technologies ◽  
Entry Points ◽  
Development Goals ◽  
Smart Mobility

The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.

scholarly journals Behavior of Traffic Congestion and Public Transport in Eight Large Cities in Latin America during the COVID-19 Pandemic

2021 ◽  
Vol 11 (10) ◽  
pp. 4703
Author(s):  
Renato Andara ◽  
Jesús Ortego-Osa ◽  
Melva Inés Gómez-Caicedo ◽  
Rodrigo Ramírez-Pisco ◽  
Luis Manuel Navas-Gracia ◽  
...  
Keyword(s):  
Latin American ◽  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Urban Transport ◽  
Control Measures ◽  
Johns Hopkins Hospital ◽  
Large Cities ◽  
Public Data ◽  
The Impact

This comparative study analyzes the impact of the COVID-19 pandemic on motorized mobility in eight large cities of five Latin American countries. Public institutions and private organizations have made public data available for a better understanding of the contagion process of the pandemic, its impact, and the effectiveness of the implemented health control measures. In this research, data from the IDB Invest Dashboard were used for traffic congestion as well as data from the Moovit© public transport platform. For the daily cases of COVID-19 contagion, those published by Johns Hopkins Hospital University were used. The analysis period corresponds from 9 March to 30 September 2020, approximately seven months. For each city, a descriptive statistical analysis of the loss and subsequent recovery of motorized mobility was carried out, evaluated in terms of traffic congestion and urban transport through the corresponding regression models. The recovery of traffic congestion occurs earlier and faster than that of urban transport since the latter depends on the control measures imposed in each city. Public transportation does not appear to have been a determining factor in the spread of the pandemic in Latin American cities.

scholarly journals A New Approach of Smart Mobility for Heavy Goods Vehicles in Casablanca

2021 ◽  
Author(s):  
Mohammed Mouhcine Maaroufi ◽  
Laila Stour ◽  
Ali Agoumi
Keyword(s):  
Environmental Sustainability ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Research Work ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Smart Mobility ◽  
Heavy Goods Vehicles

Managing mobility, both of people and goods, in cities is a thorny issue. The travel needs of urban populations are increasing and put pressure on transport infrastructure. The Moroccan cities are no exception and will struggle, in the short term, to respond to the challenges of the acceleration of the phenomenon of urbanization and the increase in demand for mobility. This will inevitably prevent them from turning into smart cities. The term smart certainly alludes to better use of technologies, but smart mobility is also defined as “a set of coordinated actions intended to improve the efficiency, effectiveness and environmental sustainability of cities” [1]. The term mobility highlights the preponderance of humans over infrastructure and vehicles. Faced with traffic congestion, the solutions currently adopted which consist of fitting out and widening the infrastructures, only encourage more trips and report the problem with more critical consequences. It is true that beyond a certain density of traffic, even Intelligent Transport Systems (ITS) are not useful. The concept of dynamic lane management or Advanced Traffic Management (ATM) opens up new perspectives. Its objective is to manage and optimize road traffic in a variable manner, in space and in time. This article is a summary of the development of a road infrastructure dedicated to Heavy Goods Vehicles (HGV), the first of its kind in Morocco. It aims to avoid the discomfort caused by trucks in the urban road network of the city of Casablanca. This research work is an opportunity to reflect on the introduction of ITS and ATM to ensure optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects.

An Exploratory Examination of Management Accounting Service and Information Quality

2016 ◽  
Vol 29 (2) ◽  
pp. 11-31 ◽  
Author(s):  
Gary M. Fleischman ◽  
Eric N. Johnson ◽  
Kenton B. Walker
Keyword(s):  
Image Quality ◽  
Service Quality ◽  
Information Quality ◽  
Management Accounting ◽  
Information Provision ◽  
Quality Model ◽  
Business Professionals ◽  
User Perceptions ◽  
Functional Quality ◽  
Service Information

ABSTRACT We develop and test a scale to measure perceptions of management accounting service information and quality. We use a theoretical framework adapted from Grönroos's (1978, 1983, 1984, 1990) service quality model that relates functional, technical, and image dimensions of service to perceived overall service quality. We develop constructs related to functional, technical, and image quality using questions derived from the accounting literature regarding the desirable characteristics of accountants and their information provision services. We test our predictions using survey data from 116 experienced business professionals. Results indicate that management accounting service quality can be mapped into functional, technical, and image dimensions. Furthermore, technical quality is more important to users than functional quality, and image quality partially mediates the technical and functional quality dimensions in forming user perceptions of overall service quality.

Purpose-Focused View of Information Quality

2011 ◽  
pp. 277-309
Author(s):  
Zbigniew J. Gackowski
Keyword(s):  
Public Administration ◽  
Information Quality ◽  
Operation Research ◽  
Quality Requirements ◽  
Symbolic Representations ◽  
Universal Principles ◽  
Or Methodology ◽  
Quality Programs ◽  
Quality Framework ◽  
Entire Universe

This chapter presents a logical technology-independent fully content-focused inquiry into the operations quality problems of any symbolic representations of reality. This teleological operations-research-based approach demonstrates that a purpose-focused view, natural within the operation- research (OR) methodology, facilitates faster progress in identifying the fundamental relationships of more lasting validity for business, public administration, and military purposive operations. Products of the Information Quality Programs and Initiatives at MIT (MITIQ Program) serve as recognized research references. It contains definitions of (1)A tentatively universal hierarchical taxonomy of the entire universe of quality requirements, (2) The tentative definitions of the first five tentatively universal operations quality requirements for any situation, (3) An economic sequence of their examination, and (4) The first seven tentatively universal principles in this domain. This quality framework may assist researchers in further studies and assist practitioners in understanding the intricate relationships among operations quality attributes. The chapter presents the tentative results of the author’s research in progress.

scholarly journals Traffic Congestion Avoidance System Using Foreground Estimation and Cascade Classifier

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 178859-178869
Author(s):  
Usman Masud ◽  
Fathe Jeribi ◽  
Mohammed Alhameed ◽  
Ali Tahir ◽  
Qasim Javaid ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Congestion Avoidance ◽  
Cascade Classifier

scholarly journals Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13855-13856 ◽  
Author(s):  
Lile Li ◽  
Wei Liu
Keyword(s):  
Traffic Congestion ◽  
Route Planning ◽  
Traffic Monitoring ◽  
Time Of Arrival ◽  
Traffic Data ◽  
Travel Time Prediction ◽  
Large Cities ◽  
Time Prediction ◽  
Real Time Traffic ◽  
Factorization Machine

Real-time traffic monitoring is one of the most important factors for route planning and estimated time of arrival (ETA). Many major roads in large cities are installed with live traffic monitoring systems, inferring the current traffic congestion status and ETAs to other locations. However, there are also many other roads, especially small roads and paths, that are not monitored. Yet, live traffic status on such un-monitored small roads can play a non-negligible role in personalized route planning and re-routing when road incident happens. How to estimate the traffic status on such un-monitored roads is thus a valuable problem to be addressed. In this paper, we propose a model called Spatial Factorization Machines (SFM) to address this problem. A major advantage of the SFM model is that it incorporates physical distances and structures of road networks into the estimation of traffic status on un-monitored roads. Our experiments on real world traffic data demonstrate that the SFM model significantly outperforms other existing models on ETA of un-monitored roads.

scholarly journals Rail-based Public Transport Service Quality and User Satisfaction – A Literature Review

2020 ◽  
Vol 32 (3) ◽  
pp. 423-435 ◽  
Author(s):  
Ahmad Nazrul Hakimi Ibrahim ◽  
Muhamad Nazri Borhan ◽  
Nur Izzi Md. Yusoff ◽  
Amiruddin Ismail
Keyword(s):  
Service Quality ◽  
Customer Service ◽  
Public Transport ◽  
User Satisfaction ◽  
Traffic Congestion ◽  
Information Quality ◽  
Service Providers ◽  
Delphi Approach ◽  
Rail Travel

While rail-based public transport is clearly a more advanced and preferable alternative to driving and a way of overcoming traffic congestion and pollution problems, the rate of uptake for rail travel has remained stagnant as a result of various well-known issues such as that commuters either use a more reliable and comfortable alternative to get from A to B and/or that they are not satisfied with the quality of service provided. This study examined the factor of user satisfaction regarding rail-based public transport with the aim of discovering precisely what factors have a significant effect on the user satisfaction and uptake of rail travel. This was approached using both the Delphi approach and a thorough review of the current literature, focusing on a total of nine possible factors affecting passenger satisfaction with rail travel availability of service, accessibility of service, ticket or pass, punctuality, clarity of information, quality of customer service, comfort, safety, and image. Also discussed were 29 extra possible attributes and several measures that were implemented in various countries to increase the service quality. It was concluded that this review will provide valuable information for policymakers, researchers and service providers in terms of specifying the service factors most worth investigating if the quality of this crucial means of transport is to be raised.

Sign in / Sign up

Export Citation Format

Share Document