Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

Cities and Climate Change: Global Report on Human Settlements 2011

Input—Output Economics. By Wassily Leontief. New York and London, Oxford University Press, 1966. ix, 257 p. 914″. 60s.

Input-Output Economics.

The aim of this research was to evaluate the predictive performances of frequency ratio (FR), logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in China. In addition, the ensemble WoE and LR and ensemble FR and LR techniques were applied and used in the evaluation. The flood inventory map, consisting of 196 flood locations, was extracted from a number of sources. The flood inventory data were randomly divided into a testing data-set, allocating 70% for training, and the remaining 30% for validation. The 15 flood conditioning factors included in the spatial database were altitude, slope, aspect, geology, distance from river, distance from road, distance from fault, soil type, land use/cover, rainfall, Normalized Difference Vegetation Index, Stream Power Index, Topographic Wetness Index, Sediment Transport Index and curvature. For validation, success and prediction rate curves were developed using area under the curve (AUC) method. The results indicated that the ...

https://tandfonline.com/doi/pdf/10.1080/19475705.2017.1362038

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

Extreme weather and climate-related events affect human health by causing death, injury, and illness, as well as having large socioeconomic impacts. Climate change has caused changes in extreme eve...

https://www.tandfonline.com/doi/pdf/10.1080/10962247.2017.1401017

Changes in extreme events and the potential impacts on human health.

This paper investigates the impact of floods on the global economy through supply chains, and proposes measures for the related supply chain risk. We examine Thailand’s 2011 flood since it is a notable example of the impact of floods both on industries and the whole economy. The protracted floods affected the primary industrial sectors in Thailand, i.e., the automotive and electronics industries, with a devastating impact on the whole economy. The impact of natural hazards on the global supply chain is increasing. However, the impact on each firm that is exposed is different depending on how well they are prepared and how they respond to the risks. Designing supply chains in a more resilient way will ultimately reduce risks to the economy. Comparing different supply chains and industries’ structure in Thailand, this study identifies the factors in private investment decision- making, such as locations of facilities, alternate locations of production, the diversified sources of procurement, emergent assistance from other partner companies in the same supply chain, and degree of the recovery of customers and proposes a hypothesis and related questions for future research.

Flood Risks and Impacts: A Case Study of Thailand’s Floods in 2011 and Research Questions for Supply Chain Decision Making

Purpose




This study aims to investigate the impact of Hurricane Sandy from the perspective of interdependence among different sectors of critical infrastructure in New York City and to assess the interconnected nature of risks posed by such a hurricane.




Design/methodology/approach




This study uses indirect damages of each sector to estimate the degree of functional interdependence among the sectors. The study examines the impact of the hurricane on different critical infrastructures by combining hazard maps of actual inundation areas with maps of critical infrastructure. The direct damages of each sector are calculated from the inundation areas in the flood map. The indirect damages are estimated by considering the areas that were not inundated but affected by Sandy through the interconnected infrastructure.




Findings




The electricity sector was the key sector to propagate risks to other sectors. The examination of new initiatives to increase the resilience of critical infrastructures in New York City after Sandy reveals that these initiatives focus primarily on building hard infrastructures to decrease direct damages. They understate the importance of interdependent risk across sectors. Future disaster risk reduction strategies must address interdependent infrastructures to reduce indirect damages.




Originality/value




This paper focuses on estimating the direct and indirect damages caused by Hurricane Sandy in each critical infrastructure sector, using GIS mapping techniques. It also introduces a Bayesian network as a tool to analyze critical infrastructure interdependence.

Masahiko Haraguchi

Papers

Flood Risks and Impacts: A Case Study of Thailand’s Floods in 2011 and Research Questions for Supply Chain Decision Making

Critical infrastructure interdependence in New York City during Hurricane Sandy

Stochastic cost-benefit analysis of urban waste-to-energy systems

Building Private Sector Resilience: Directions After the 2015 Sendai Framework

Urban waste to energy recovery assessment simulations for developing countries