{'fraction_non_alphanumeric': 0.018140589569160998, 'fraction_numerical': 0.0, 'mean_word_length': 5.006802721088436, '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 Production for Urban Goods Transport Planning and Management

This chapter deals with data production within the paradox of big-no data in urban logistics. More precisely, the chapter aims to make an overview on data production in urban logistics and present the main issues, as well as a framework, to overcome that paradox. First, the big-no data paradox is defined and motivated. Second, the question of demand and route estimation in urban logistics is examined more in-depth via an overview of current data production methods and techniques used to estimate demand and transport flows. Third, a framework to produce unified databases filling those data lacks is introduced as well as an analysis on how the different data production techniques can be used to overcome that paradox. Finally, research directions regarding urban goods transport data production are provided.