Identifying Patterns of Neighbourhood Change Based on Spatiotemporal Analysis of Airbnb Data in Dublin

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Title: Identifying Patterns of Neighbourhood Change Based on Spatiotemporal Analysis of Airbnb Data in Dublin
Authors: Rabiei-Dastjerdi, HamidrezaMcArdle, Gavin
Permanent link: http://hdl.handle.net/10197/12629
Date: 21-Aug-2020
Online since: 2021-11-11T14:19:32Z
Abstract: In general, neighbourhoods are susceptible to changes such as economic expansion or decline, new developments and infrastructure, new business and industry, gentrification or super gentrification, decline and abandonment. In this paper, we assess the ability of Airbnb data to identify locations prone to neighbourhood change using data from the Airbnb platform in Dublin, Ireland. Emerging Hotspot Analysis was utilized to identify areas where change is potentially occurring. The results of the analysis were validated by analysing literature about different types of neighbourhood change occurring in Dublin. The results show patterns of change which are occurring in many neighbourhoods in Dublin can be captured by changes in the Airbnb data. The city centre appears to have reachedsaturation point in the volume of Airbnb lettings, while other areas which are undergoing differentforms of Airbnb change are emerging as changing neighbourhoods. This paper shows that Airbnb data has a high potential to reveal underlying socioeconomic processes in the city and also highlights the importance of open access to data for urban studies and monitoring.
Funding Details: European Commission Horizon 2020
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: Neighbourhoud changeSpatiotemporal analysisSpace-time cubeAirbnbDublinGentrification
DOI: 10.1109/ICSGSC50906.2020.9248558
Other versions: https://www.ieee-pes.org/meetings-and-conferences/conference-calendar/monthly-view/166-technically-cosponsored-by-pes/979-2020-4th-international-conference-on-smart-grid-and-smart-cities-icsgsc
Language: en
Status of Item: Peer reviewed
Is part of: The 4th International Conference on Smart Grid and Smart Cities (ICSGSC 2020)
Conference Details: The 2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC), Osaka, Japan, 18-21 August 2020
ISBN: 9781728194042
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Computer Science Research Collection

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