Identifying opportunity places for urban regeneration through LBSNs

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Title: Identifying opportunity places for urban regeneration through LBSNs
Authors: Martí Ciriquián, Pablo | Garcia-Mayor, Clara | Serrano-Estrada, Leticia
Research Group/s: Urbanística y Ordenación del Territorio en el Espacio Litoral
Center, Department or Service: Universidad de Alicante. Departamento de Edificación y Urbanismo
Keywords: Urban regeneration | Urban planning | Liveliness | Neighborhood | Social networks | Public space
Knowledge Area: Urbanística y Ordenación del Territorio
Issue Date: Jul-2019
Publisher: Elsevier
Citation: Cities. 2019, 90: 191-206. doi:10.1016/j.cities.2019.02.001
Abstract: The use of location based social networks—LBSNs—for diagnosing phenomena in contemporary cities is evolving at a fast pace. However, methodological frameworks for informing urban regeneration at a fine-grain neighborhood scale through LBSNs is still by and large an unchartered territory, which this research seeks to address. This research bridges the knowledge gap by proposing a method to identify urban opportunity spaces for urban regeneration that involves pre-processing, analyzing and interpreting single and overlapped LBSN data. A two-fold perspective—people-based and place-based—is adopted. Data from four LBSNs—Foursquare, Twitter, Google Places and Airbnb—represent the people-based approach as it offers an insight into individual preferences, use and activities. The place-based approach is provided by an illustrative case study. Local unexpected nuances were gathered by the interlinking of data from different LBSNs, and opportunity places for urban regeneration have been recognized, as well as potential itineraries to boost urban liveliness and connectivity at both intra and inter- neighborhood scales. Findings show that overlapping data from various LBSNs enriches the analysis that would previously have relied on a single source.
Sponsor: This work was supported by the Council of Education, Research, Culture and Sports – Generalitat Valenciana (Spain). Project: Valencian Community cities analyzed through Location-Based Social Networks and Web Services Data. Ref. no. AICO/2017/018.
URI: http://hdl.handle.net/10045/88827
ISSN: 0264-2751 (Print) | 1873-6084 (Online)
DOI: 10.1016/j.cities.2019.02.001
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.1016/j.cities.2019.02.001
Appears in Collections:INV - UOTEL - Artículos de Revistas

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