{'fraction_non_alphanumeric': 0.0175561797752809, 'fraction_numerical': 0.0, 'mean_word_length': 5.277533039647577, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Data Asset Management and Analytics in China High Speed Railways: Challenges and Perspectives

With the fast expansion of China's high-speed railway network and the rapid development of information and communication technologies (ICTs) in railways, more and more operation data of the China high-speed railway have been collected and will continue increasing forever. As a valuable asset, the big data of China high-speed railway need effective and dedicated management, which not only helps the railway operators to transform its daily operation to provide better services to passengers, but also has the potential to create new value to the whole industry chain and the stake-holders. The rise of artificial intelligence (AI) and big data technologies open up a new era allowing new application of railway data and the realization of data asset appreciation. This article discusses how AI-driven data management technology may tap and play the value of data assets to convert the value asset of data assets. Since dispatching and transportation are the core business of railways, the data asset management in the new generation of train dispatching system and railway passenger transportation system are investigated from the perspective of the acquisition, analysis and application of China's high-speed railway operation data. Future trends in data analysis technologies and evaluation of data assets are also discussed.