Impact of introducing a metro line on urban bus services

Many cities have introduced metro rail systems over the past two decades, particularly in developing countries. However, there is lack of knowledge on the impacts of new lines on the service and ridership for the related urban bus lines, and in particular those directly affected by the opening of the new service(s). We undertake a...

Selective Edge Computing for Mobile Analytics

An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers. However, due to memory and computing limitations, the devices often cannot support the...

Macomi Maintenance: A user-centric data-analytic platform for railway maintenance planning optimisation

This thesis project investigated how user-centred design(UCD) contributes to the railway maintenance planning optimisation. A new UX concept and digital prototype were designed to provide intuitive interaction and clear structure to support the planners confidently and independently optimise railway maintenance planning on a digital platform. ...

Preserving Confidentiality in Data Analytics-as-a-Service

The enhancements in computation technologies in the last decades enabled businesses to analyze the data that is collected through their systems which helps to improve their services.<br/>However, performing data analytics remains a challenging task for small- and medium-scale companies due to the lack of in-house experience and computational...

Recommendation functionality for smart data analytics toolbox to support choosing task-relevant data analytics tools

Though many enhancements are still possible and needed, data analytics software packages invaded all segments of industrial businesses. Since product designers are not specialized data analysts, an op- portunity of enhancement is to provide advice by smart data analytics toolboxes (SDATBs). For in- stance, SDATBs can provide guidance at...

Using data analytics to extract knowledge from middle-of-life product data

Data analytics needs dedicated tools, which are getting complex. In this paper we summarize the results of our literature research done with special attention to existing and potential future tools. The attention is paid mainly to processing big data, rather than to effective semantic processing of middle-of-life data (MoLD). The issue of...

Light into the Urban Black Box – A Comprehensive Urban Metabolism Approach for Strategic Policy Making: A Case Study of Household Waste Management in Amsterdam

The limitation of natural resources forces humanity to rethink its current habits of material use. Plastic product packaging, fossil fuels for transportation and energy generation are just a few examples of highly resource intensive processes in modern society. Urgency of this matter increases due to the fast-growing world population and big...

Data driven design in sustainability: Development of software prototype to aid the conceptual design of industrial warehouses on sustainability

The construction sector contributes to a significant portion of global energy consumption, CO2 emissions and the use of material resources. As climate change escalates with rapidly increasing temperatures, more extreme weather patterns and rising sea levels, an urge to reduce the environmental impact is evident. <br/><br/>A discrepancy is...

From Condition Monitoring to Maintenance Management in Electric Power System Generation with focus on Wind Turbines: Sustainable concrete infrastructure design

With increase in the number of sensors installed on sub-assemblies of industrial components, the amount of data collected is rapidly increasing. These data hold information in the areas of operation of the system and evolution of health condition of the components. Therefore, extracting the knowledge from the data can bring about significant...

What Does Data Analytics Offer for Extracting Knowledge from Middle-of-Life Product Data?

Companies are getting increasingly interested in learning how different customers use their products. Collecting data about the use of products provides useful insights and facilitates design enhancements. Effective data analytics needs dedicated tools. In this paper, we summarize the results of our literature research done with special...

Data Analytics in Web-based Education in the Higher-education Classroom

Attention span of students in a classroom is very short. To overcome this, different active learning methodologies have been used in the past. Active learning keeps the students busy and engaged throughout the lecture. It breaks the lecture into certain time intervals by intermixing breaks, demonstrations and questions after each interval. For...

Using data analytics to understand why certain rail sections at the Dutch high-speed line are affected by RCF

This paper describes the use of big data for analysing Rolling Contact Fatigue (RCF) phenomena at the High Speed Line (HSL Zuid) in The Netherlands. The authors developed a data model to investigate the impacting parameters in train-track interaction. This has been done to gain more insight in the circumstances where RCF occurs and to conclude...

Application of a bottom-up approach for the analysis of rolling contact fatigue in the Dutch high speed line

This paper describes the use of big data analytics for understanding the Rolling Contact Fatigue (RCF) phenomena at the High Speed Line (HSL Zuid) in The Netherlands. The authors developed a data model to investigate the impacting parameters in train-track interaction. This has been done to gain more insight<br/>about the circumstances under...

Social Web Data Analytics: Relevance, Redundancy, Diversity

In the past decade, the Social Web has evolved into both an essential channel for people to exchange information and a new type of mass media. The immense amount of data produced presents new possibilities and challenges: algorithms and technologies need to be developed to extract and infer useful information from the Social Web. One of the main...