Public Open Data is data that can be freely used, re-used and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike.
If you’re wondering why it is so important to be clear about what open means and why this definition is used, there’s a simple answer: interoperability.
Interoperability denotes the ability of diverse systems and organizations to work together (inter-operate). In this case, it is the ability to interoperate – or intermix – different datasets.
Personal or privacy related data, which does not contain information about specific individuals, commercially sensitive data or national security government related data should not be part of the Public Open Data.
Publishing open data creates a virtuous circle that benefits those using and delivering transport networks.
Public Open Data that can be freely used, re-used and redistributed by anyone can support operational service improvements, the development of new customer facing products and services, increase transparency and innovation and challenge existing ways of working.
Private Open Data sets (such as proprietary processed data) will be available also free of charge to those who can complete specific challenges, launched by the Municipalities or Public Transport Operators.
tranzy.ai does not release any personal or commercially sensitive data.
Our philosophy centers around common good and the action of doing good first, and we strongly believe that providing fair and equal access to public data is far more valuable to us and our society than utilizing it exclusively for a perceived competitive advantage, regardless of ownership.
tranzy.ai is the first private company that has a growth strategy based on Open Data, because we believe a private company is better suited to orchestrate open data initiatives than a public institution.
ExpertisePrivate companies often have specific expertise in data management, analytics, and visualization. They may have dedicated teams and resources for collecting, analyzing, and presenting data in a user-friendly format that can benefit the public.
InnovationPrivate companies are typically driven by profit and are more likely to invest in innovative technologies and solutions to make data more accessible and valuable. They may also be more flexible in adapting to changing technologies and user needs.
AccountabilityPrivate companies are accountable to their customers and shareholders, who demand high standards of transparency and quality. This can translate into a higher level of accountability and responsiveness to user needs compared to some public institutions.
Partnership opportunitiesPrivate companies may be more willing to partner with other organizations to develop and promote open data initiatives, such as academic institutions, non-profit organizations, and government agencies. This can lead to a more collaborative and diverse ecosystem of data providers, users, and stakeholders.
Overall, a private company can bring a unique set of skills, resources, and perspectives to the task of orchestrating open data initiatives, which can complement and enhance the efforts of public institutions. However, it’s important to note that public institutions also have a critical role to play in ensuring that open data is used for the public good and that access to data is equitable and non-discriminatory.
Research by Deloitte shows that the release of open data by TfL is generating annual economic benefits and savings of up to £130m a year.
This useful tool was created only using Public Open Data sets.
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Tranzy.ai aligns with the European Commission’s practices and recommendations regarding transportation and urban mobility, as highlighted by the Directorate-General for Mobility and Transport (DG MOVE) in the New EU Urban Mobility Framework (COM/2021/811). With the prospect of large-scale automation of mobility in Europe, tranzy.ai enables the creation and open access to a multimodal network that serves citizens’ interests by intelligently connecting mobility solutions to the tranzy.ai platform and by using innovative artificial intelligence on open data.