SESAME: Exploring small businesses’ behaviour to enhance resilience to flooding

Abstract

Abstract. In the United Kingdom, small and medium sized enterprises (SMEs) account for approximately 99.9% of businesses, 60% of the working population and 47% annual turnover. However, despite the important contribution that SMEs make to the economy, this size of business remains under-researched with a significant gap in understanding how the disruption caused by flooding impacts on SMEs from the time at which a flood event occurs through to the µUHWXUQ ¶ WR QRUPDO RSHUDWLRQV. Business continuity management is a recognised approach for enhancing organisational resilience to major disruptions (ISO 22301, 2012). However, this strategic approach to building such resilience in SMEs is under-explored in the literature with a limited range of empirical data to draw on. This paper presents an overview of an inter-disciplinary research SURMHFW IXQGHG E\ WKH 8. ¶V (QJLQHHULQJ DQG 3K\VLFDO 6FLHQFH Research Council, called 6(6$0( ZKLFK H[DPLQHV 60(V ¶ RSHUDWLRQDO UHVSRQVH DQG SUHSDUHGQHVV WR IORRGLQJ. Furthermore, SESAME consists of four stands of research which bring together a number of disciplines including agent based modelling and simulation, flood modelling, business continuity management, economic modelling and behavioural science. This paper provides an overview of the different research stands within the SESAME project DLPHG DW HQKDQFLQJ 60(V ¶ UHVLOLHQFH WR IORRGLQJ

Flood resilience: a systematic review

“…Simulation based approaches typically involved using hydraulic modelling software to simulate flood events as a means of analysing system performance (see Birgani and Yazdandoost 2016;Owotoki et al 2006;Mugume et al 2015;Schinke et al 2016;Golz, Schinke, and Naumann 2015;Pregnolato et al 2016;Gersonius et al 2008). Alternatively, Coates et al (2016) and Song, Huang, and Li (2017) use other simulation methods, such as Agent-Based Modelling and Change Detection Analysis, respectively. The indicator methods used are all similar in principle; however they are applied differently and can be easily tailored to different contexts and hazards across geographical boundaries.…”

Resilience of art cities to flood risk: A quantitative model based on depth‐idleness correlation

“…Quantitative approaches for assessing flood resilience are commonly based on indicators or simulations which evaluate system performances, during or in the immediate aftermath of the event, starting from flood models (Coates et al, 2016; Pregnolato et al, 2016; Schinke et al, 2016). However, conceptual and theoretical frameworks are more popular and highlight difficulties in operationalizing resilience (McClymont et al, 2020).…”