Cai, Meng (2021)
Natural language processing for urban research: A systematic review.
In: Heliyon, 7 (3)
doi: 10.1016/j.heliyon.2021.e06322
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Natural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application of NLP in studying cities is still in its infancy. Current applications fell into five areas: urban governance and management, public health, land use and functional zones, mobility, and urban design. NLP demonstrates the advantages of improving the usability of urban big data sources, expanding study scales, and reducing research costs. On the other hand, to take advantage of NLP, urban researchers face challenges of raising good research questions, overcoming data incompleteness, inaccessibility, and non-representativeness, immature NLP techniques, and computational skill requirements. This review is among the first efforts intended to provide an overview of existing applications and challenges for advancing urban research through the adoption of NLP.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Cai, Meng |
| Art des Eintrags: | Bibliographie |
| Titel: | Natural language processing for urban research: A systematic review |
| Sprache: | Englisch |
| Publikationsjahr: | 1 März 2021 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Heliyon |
| Jahrgang/Volume einer Zeitschrift: | 7 |
| (Heft-)Nummer: | 3 |
| Kollation: | 8 Seiten |
| DOI: | 10.1016/j.heliyon.2021.e06322 |
| Kurzbeschreibung (Abstract): | Natural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application of NLP in studying cities is still in its infancy. Current applications fell into five areas: urban governance and management, public health, land use and functional zones, mobility, and urban design. NLP demonstrates the advantages of improving the usability of urban big data sources, expanding study scales, and reducing research costs. On the other hand, to take advantage of NLP, urban researchers face challenges of raising good research questions, overcoming data incompleteness, inaccessibility, and non-representativeness, immature NLP techniques, and computational skill requirements. This review is among the first efforts intended to provide an overview of existing applications and challenges for advancing urban research through the adoption of NLP. |
| Zusätzliche Informationen: | Artikel-ID: e06322 |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr > Institut für Verkehrsplanung und Verkehrstechnik |
| Hinterlegungsdatum: | 28 Mär 2024 10:19 |
| Letzte Änderung: | 28 Mär 2024 10:19 |
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