{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/short-distance-commuters-in-the-smart-city","title":"Short-distance commuters in the smart city","arxiv_id":"1902.08028","date":"2019-02-16","proceeding":null,"authors":["Francisco Benita","Garvit Bansal","Georgios Piliouras","Bige Tunçer"],"abstract":"This study models and examines commuter's preferences for short-distance\ntransportation modes, namely: walking, taking a bus or riding a metro. It is\nused a unique dataset from a large-scale field experiment in Singapore that\nprovides rich information about tens of thousands of commuters' behavior. In\ncontrast to the standard approach, this work does not relay on survey data.\nConversely, the chosen transportation modes are identified by processing raw\ndata (latitude, longitude, timestamp). The approach of this work exploits the\ninformation generated by the smart transportation system in the city that make\nsuitable the task of obtaining granular and nearly real-time data. Novel\nalgorithms are proposed with the intention to generate proxies for walkability\nand public transport attributes. The empirical results of the case study\nsuggest that commuters do no differentiate between public transport choices\n(bus and metro), therefore possible nested structures for the public transport\nmodes are rejected.","url_abs":"http://arxiv.org/abs/1902.08028v1","url_pdf":"http://arxiv.org/pdf/1902.08028v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"short-distance-commuters-in-the-smart-city","repo_url":"https://github.com/Garvit244/Shapefile_to_Network","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}