Leveraging the Potentials of Data Sharing
and long-distance trains , and a private transportation infrastructure . It should be noted , however , that these efforts are not the sole responsibility of the airport . A number of other organizations and companies are part of and contribute to the transportation ecosystem .
To fully realize this potential , organizations must participate in the data economy , sharing data and collaborating to develop data-driven services based on shared data [ 1 ]. This process is known as data sharing , which can be defined as "[...] the domain-independent process of giving third parties access to the data sets of others . These third parties can be other companies ( usually not direct competitors ), individuals , or public institutions . The shared data is often used to develop new applications and services .[...]" [ 2 ]. Unlike the straightforward approach of integrating different data sources , data sharing addresses critical issues such as data ownership , sovereignty , and collaboration in areas where established APIs or traditional integration methods are either unavailable or inefficient [ 3 ]. By creating frameworks that allow participants to retain control over their data while facilitating standardized and secure exchanges , data sharing enables solutions in contexts where integration alone cannot . This approach fosters innovation , expands the scope of applications , and makes it possible to create cooperative services across organizational boundaries [ 4 ]. In doing so , data sharing opens opportunities to exchange information in domains where a data-based cooperation was previously impractical or nonexistent , while ensuring that stakeholders can maintain their proprietary interests and trust [ 5 ].
This article examines how Düsseldorf Airport and other organizations are using data sharing to improve digital twin-based applications and services , thereby enhancing the travel experience at Düsseldorf Airport . It looks further into the critical issue of fostering trust and transparency between stakeholders in heterogeneous ecosystems . It argues that enabling solutions based on data sharing requires addressing a multifaceted problem that demands a systematic approach . The method presented here represents a first step toward overcoming these challenges , offering valuable insights into creating data based cooperations that drive innovation and digital service creation .
2 TRANSPORTATION TESTBED
This paper examines a transportation testbed focusing on the SkyTrain , a driverless passenger suspension railway system at Düsseldorf Airport . The system connects the airport terminals , parking facilities , and a nearby long-distance train station . The route is utilized by a considerable number of passengers and employees daily for travel to and from the airport . As the railway system is driverless , the system operators rely extensively on data . This makes the SkyTrain an ideal asset for a testbed approach . The FSTI collaborated with Düsseldorf Airport to identify potential partners who could provide support by sharing pertinent data and contributing specialized expertise . Contact was made with the relevant organizations , and a testbed setting was arranged . Table 2-1 provides an overview of the testbed setting .
The Airport oversees the operation , while a major traffic engineering company handles the maintenance and technical operations of the physical train system in close proximity to the
56 February 2025