Search results

A search and rescue incident is ultimately all about the location of the missing person; hence, geotechnical tools are critical in providing assistance to search planners. One critical role of Geographic Information Systems (GISs) is to define the boundaries that define the search area. The literature mostly focuses on ring- and area-based methods but lacks a linear/network approach. The purpose of this paper is to present a novel network approach that will benefit search planners by saving time, requires less data layers and provides better results.

The paper compares two existing models (Ring Model, Travel Time Cost Surface Model (TTCSM)) against a new network model (Travel Time Network Model) by using a case study from a mountainous area in Austria. Newest data from the International Search and Rescue Incident Database are used for all three models. Advantages and disadvantages of each model are evaluated.

Network analyses offer a fruitful alternative to the Ring Model and the TTCSM for estimating search areas, especially for regions with comprehensive trail/road networks. Furthermore, only few basic data are needed for quick calculation.

The paper supports GIS network analyses for wildland search and rescue operations to raise the survival chances of missing persons due to optimizing search area estimation.

The paper demonstrates the value of the novel network approach, which requires fewer GIS layers and less time to generate a solution. Furthermore, the paper provides a comparison between all three potential models.

Stephen Hodgetts read the e-mail over and over again and still could hardly believe what he had read. He had just come back from his vacation, well rested and refreshed, and this e-mail had dampened his high enthusiasm. It took time to absorb such bad news and for Hodgetts to get over his incredulity.Yet in the end Hodgetts accepted the truth‐a deep, dark terrible truth that would not go away. Robert Davis, his business partner’s son, had confirmed in an e-mail his worst fears about their newest business partner, David Russ.Many thoughts were running through his mind simultaneously yet each screamed to be heard.“How could he and his partner Richard Davis have been so blind, so trusting?” “How could Russ not have heeded the advice of his business partner, Richard Davis, Russ’s former English professor?” And most important, “What was now going to happen to their new business?” Yet the one thought that continued to echo among them all was surprisingly a quote from Sir Arthur Conan Doyle’s beloved character, Sherlock Holmes: “But there are always some lunatics about. It would be a dull world without them.”

This paper is a response to a frequently asked question from prospective industry partners searching for opportunities to collaborate with the Computer Science Department of Swansea University, UK. This paper seeks to provide structured guidance in the form of what is titled the Industry Engagement Ladder.

The Industry Engagement Ladder presents a selection of collaboration opportunities, outlining the possible cooperation mechanisms between an industry partner and the academic institution.

Opportunities are described and ranked according to the amount of investment required by the industrial partner, and therefore risk, from low to high.

This concise paper provides a quick reference for perspective industry academia collaboration opportunities, the risks involved with each, the possible funding available to help foster these partnerships and the benefits to industry. These collaborative activities (and variations thereof) can be incorporated by any university department. The manuscript offers an ideal starting point for industry–university collaboration.