Delaney, Aoife and Kitchin, Rob (2020) Progress and prospects for data-driven coordinated management and emergency response: the case of Ireland. Territory, Politics, Governance. ISSN 2162-2671
Preview
21622671.2020.pdf
Download (941kB) | Preview
Abstract
Internationally, there is a drive to make coordinated management and emergency response (CMER) more data-driven and centralized through shared data infrastructures and control centres. While there are a few well-known case examples of data-driven CMER, in general it has been partially implemented. In this paper, we highlight the importance of historical institutional and spatial context and path dependencies in shaping the development of CMERs within and across jurisdictions. We examine the progress and prospects of data-driven CMER in Ireland, with respect to the general landscape of inter-agency cooperation and with reference to a single key agency: An Garda Síochána (AGS), the Irish police force. To do so, we draw on 36 in-depth interviews with key stakeholders and a critical discourse analysis of 15 key policy/guideline documents. Our analysis reveals the ways in which embedded institutional cultures, structures and working practices, which are relatively resistant to change, have thwarted data-sharing and data-driven analysis and decision-making. These factors act as barriers to the adoption of smart-city approaches more generally, not just in Ireland but globally
Item Type: | Article |
---|---|
Keywords: | coordinated management and emergency response (CMER); big data; smart cities; all-hazards approach; |
Academic Unit: | Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI |
Item ID: | 16338 |
Identification Number: | 10.1080/21622671.2020.1805355 |
Depositing User: | Prof. Rob Kitchin |
Date Deposited: | 20 Jul 2022 13:44 |
Journal or Publication Title: | Territory, Politics, Governance |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/16338 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year