This chapter includes a description of how the study was conducted. In order to explore the possibilities for private companies to use open data, an extensive literature review was conducted. Furthermore, this helped to get familiarized with the subject of open data and understand how it is utilized today by public companies. While researching different methods for data analytics that are being used in transportation, it was found that predictive analytics was one of the most prominent methods as it can be used in numerous ways in order to improve predictions and planning within organizations. The use of predictive analytics in transportation includes predicting delays and traffic conditions which were found to be appropriate areas of analy...
This paper explores the opportunities and challenges of open data. Open and free interfaces can prov...
In recent years the growth in the amount of available data has increased enormously. More and more c...
The importance that governments put into open government data policies has increased over the last d...
This chapter includes a description of how the study was conducted. In order to explore the possibil...
As more and more governmental datasets are going from being locked inside a drawer to being public a...
Open data is broadly expected to generate innovation and economic value for both the public and priv...
As congestion on Danish roads is increasing, it is imperative that solutions be suggested for the is...
In this research-in-progress paper, we present findings from the diagnosing phase of a Canonical Act...
Large amounts of data and information is generated for different purposes every day in the traffic s...
**Purpose** This case study describes how one of the world’s largest public transport operations, T...
City councils produce large amounts of data. As this data becomes available, and as information and ...
The overall goal of the Road Data Lab (RoDL) project is to establish a community platform around ope...
The Internet has significantly reduced the cost of producing, accessing, and using data, with govern...
This research focuses on how private companies can use open data in order to innovate. The research ...
Big data analytics allows a vast amount of structured and unstructured data to be effectively proces...
This paper explores the opportunities and challenges of open data. Open and free interfaces can prov...
In recent years the growth in the amount of available data has increased enormously. More and more c...
The importance that governments put into open government data policies has increased over the last d...
This chapter includes a description of how the study was conducted. In order to explore the possibil...
As more and more governmental datasets are going from being locked inside a drawer to being public a...
Open data is broadly expected to generate innovation and economic value for both the public and priv...
As congestion on Danish roads is increasing, it is imperative that solutions be suggested for the is...
In this research-in-progress paper, we present findings from the diagnosing phase of a Canonical Act...
Large amounts of data and information is generated for different purposes every day in the traffic s...
**Purpose** This case study describes how one of the world’s largest public transport operations, T...
City councils produce large amounts of data. As this data becomes available, and as information and ...
The overall goal of the Road Data Lab (RoDL) project is to establish a community platform around ope...
The Internet has significantly reduced the cost of producing, accessing, and using data, with govern...
This research focuses on how private companies can use open data in order to innovate. The research ...
Big data analytics allows a vast amount of structured and unstructured data to be effectively proces...
This paper explores the opportunities and challenges of open data. Open and free interfaces can prov...
In recent years the growth in the amount of available data has increased enormously. More and more c...
The importance that governments put into open government data policies has increased over the last d...