Estimating lifeline resilience factors using post-disaster business recovery data

2020 ◽  
pp. 875529302095245
Author(s):  
Huan Liu ◽  
Hirokazu Tatano ◽  
Yoshio Kajitani

Recent studies have discussed lifeline resilience factors for industrial sectors. However, these results are derived from business surveys on hypothetical disasters or estimations based on expert opinions: this is mainly due to a lack of data from businesses that actually experienced lifeline disruptions after a disaster. Therefore, this study proposes a modeling framework to estimate the remaining proportions of production capacity after lifeline disruptions due to a disaster, called lifeline resilience factors, in different business sectors. Lifeline resilience factors are estimated using a production function based on responses from a post-disaster business survey in areas affected by the 2011 Great East Japan Earthquake. A comparative study between the manufacturing and non-manufacturing sectors was conducted to understand their relative resilience and vulnerability. The results show the varying importance of different lifeline services among sectors and are consistent with those of existing studies. These findings make a significant contribution in confirming the reliability and stability of lifeline services for post-disaster economic impact analysis.

Author(s):  
Sigitas Brazinskas ◽  
Vida Pipirienė ◽  
Shukrullo Khayrzoda

Purpose – digital platforms play a growing role in business development and create opportunities beyond earlier existed boundaries as countries, regions and industrial sectors. Industrial Internet concepts as a holistic application emerge, disruptive challenges trigger changes and evolution of existing business models. This paper unravels and analyses models and features of networks, market places, media platforms across various sectors along with arising opportunities. Research methodology – research is based on benchmarking across selected digital platforms and impact analysis according to defined criteria and selected business models. Findings – results justify scientific approach and contribute with a benchmarked view across different sectoral platforms, assess opportunities of the emerging digital era. The evolution of business patterns and the impact on changing models are key findings of the paper. Research limitations – a certain number of platform models and their features are analyzed as well as impact, represented sectors are largely grouped. Practical implications – results will have substantial practical application to business strategies adjustment, updated view on existing transformations across several business sectors and emerging business models. Originality/Value – a united view is possessed on different platforms across regions and sectors, it combines several integrated angles towards digital development and provides with clear and applicable solutions


2020 ◽  
Vol 24 (1) ◽  
pp. 47-56
Author(s):  
Ove Oklevik ◽  
Grzegorz Kwiatkowski ◽  
Mona Kristin Nytun ◽  
Helene Maristuen

The quality of any economic impact assessment largely depends on the adequacy of the input variables and chosen assumptions. This article presents a direct economic impact assessment of a music festival hosted in Norway and sensitivity analyses of two study design assumptions: estimated number of attendees and chosen definition (size) of the affected area. Empirically, the article draws on a state-of-the-art framework of an economic impact analysis and uses primary data from 471 event attendees. The results show that, first, an economic impact analysis is a complex task that requires high precision in assessing different monetary flows entering and leaving the host region, and second, the study design assumptions exert a tremendous influence on the final estimation. Accordingly, the study offers a fertile agenda for local destination marketing organizers and event managers on how to conduct reliable economic impact assessments and explains which elements of such analyses are particularly important for final estimations.


2020 ◽  
Author(s):  
Carishma Gokhale-Welch ◽  
James McCall ◽  
David Keyser ◽  
Alexandra Aznar ◽  
Dr. Darghouth

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 745
Author(s):  
Dimitrios Meimaroglou ◽  
Sandrine Hoppe ◽  
Baptiste Boit

The kinetics of the hydrolysis and polycondensation reactions of saccharides have made the subject of numerous studies, due to their importance in several industrial sectors. The present work, presents a novel kinetic modeling framework that is specifically well-suited to reacting systems under strict moisture control that favor the polycondensation reactions towards the formation of high-degree polysaccharides. The proposed model is based on an extended and generalized kinetic scheme, including also the presence of polyols, and is formulated using two different numerical approaches, namely a deterministic one in terms of the method of moments and a stochastic kinetic Monte Carlo approach. Accordingly, the most significant advantages and drawbacks of each technique are clearly demonstrated and the most fitted one (i.e., the Monte Carlo method) is implemented for the modeling of the system under different conditions, for which experimental data were available. Through these comparisons it is shown that the model can successfully follow the evolution of the reactions up to the formation of polysaccharides of very high degrees of polymerization.


2014 ◽  
Vol 11 ◽  
pp. 585-593 ◽  
Author(s):  
Claudia Ventura

Event Marketing and Regional Studies are widely considered discipline with still uncertain and not fully defined contours. In order to highlight the extent and the relevance of developing researches into these fields, it is proposed here a study able to demonstrate the operational validity of marketing in favor territorial development. The research work has addressed the issues of territorial promotion and analysis of touristic attitude of destinations providing an innovative application of the input-output methodology, used in the economic impact analysis.


Sign in / Sign up

Export Citation Format

Share Document