The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)

Abstract : This article questions the effects on urban research dynamics of the Big Data and AI turn in urban management. To identify these effects, we use two complementary materials: bibliometric data and interviews. We consider two areas in urban research: one, covering the academic research dealing with transportation systems and the other, with water systems. First, we measure the evolution of AI and Big Data keywords in these two areas. Second, we measure the evolution of the share of publications published in computer science journals about urban traffic and water quality. To guide these bibliometric analyses, we rely on the content of interviews conducted with academics and higher education officials in Paris and Edinburgh at the beginning of 2018.
Complete list of metadatas

Cited literature [48 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02386954
Contributor : Marion Maisonobe <>
Submitted on : Friday, November 29, 2019 - 3:13:15 PM
Last modification on : Sunday, December 1, 2019 - 1:26:39 AM

File

AI&society_vf_Maisonobe_prepri...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02386954, version 1
  • ARXIV : 1912.00532

Citation

Marion Maisonobe. The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019). 2019. ⟨hal-02386954⟩

Share

Metrics

Record views

83

Files downloads

24