A general framework for assessing the value of social data for disaster response logistics planning
| Autor: | Ashlea Bennett Milburn, Emre Kirac |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Value (ethics)
050210 logistics & transportation 021103 operations research Information Systems and Management Humanitarian Logistics General Computer Science Situation awareness Emergency management business.industry Computer science 05 social sciences 0211 other engineering and technologies Context (language use) 02 engineering and technology Management Science and Operations Research Disaster response Industrial and Manufacturing Engineering Variety (cybernetics) Risk analysis (engineering) Modeling and Simulation 0502 economics and business Key (cryptography) business |
| Zdroj: | European Journal of Operational Research. 269:486-500 |
| ISSN: | 0377-2217 |
| DOI: | 10.1016/j.ejor.2018.02.011 |
| Popis: | Social media may play a critical role in disaster response by identifying needs in a shorter amount of time and thereby improving situational awareness. However, needs identified through social media initially have not been verified and some may be inaccurate. This can create a barrier to its use during disaster response decision making. Consequently, a key tradeoff between the timeliness and accuracy of social data for disaster response logistics planning must be assessed. This study aims to stimulate interest in a research agenda aimed at evaluating this tradeoff. A general framework for investigating whether it is worthwhile to act on user-generated data prior to its absolute verification in the context of disaster response logistics planning is presented. While the framework is applicable to a variety of logistics planning problems, this paper demonstrates its use via an application in mobile delivery of disaster response commodities. A case study motivated by the 2010 Haiti earthquake is developed using real social data, and is presented for use in conjunction with the framework. The types of insights that are possible via the framework are revealed through the small computational study included in the paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect