{'fraction_non_alphanumeric': 0.015105740181268883, 'fraction_numerical': 0.0, 'mean_word_length': 5.371794871794871, '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}}
A Time-location-Based Itinerary Visualization

With the advent of linked data sources, transportation information systems are no longer limited to indicating how to get from one location to another. They can suggest where to go shopping on the way or plan several synchronized itineraries for groups of travelers. Along with these developments, information about stopovers evolves from mere additional data to a crucial part of the itinerary. However, current time-based visualizations of itineraries cannot adequately convey the stopovers contained in an itinerary. We propose a time-locationbased itinerary visualization that can be used when planning trips, which allows for the easy comparison of itineraries with different routes, and for aligning itineraries of several travelers in collaborative scenarios. We describe the visualization concept and report on a user study that confirms the basic ideas and provides a number of insights on how the visualization can be developed further.