Computational experiments ( multiple objective functions are transformed into a single objective function. Then, the single-objective form of the ETNDP has been solved using the branch-and-cut algorithm

Interview analysis (no specific description)

Evaluation through scenario•n.a.Heuristic evaluation:•Analyzing results of questionnaire Experimental evaluation•Analyzing results questionnaireIn detail for the heuristic evaluation of the usability of the mashup application:Experts examined the interface several times and reported a list of usability problems in the interface, as well as positive aspects, about previously defined heuristics (compatibility, consistency, flexibility, learnability, minimal action, minimal memory load, perceptual limitation, and user guidance.

The post training measurement was conducted at the end of the last day of training. For the follow-up test, the participants were mailed a copy of the survey, with a self-addressed return envelope, 12 months after the training had been completed.Most data were reported as scores. Frequency and confidence scores were derived for each domain by participants’ responses to the frequency questions and the self-efficacy questions. Repeated-measures analysis of variance was used to test differences between pre-test, post-test and follow-up test. The data from semi-structured interviews were categorized independently by three authors using the triangulation method, and the individual results of the analysis were compared and discussed until consensus was reached. All results were expressed as mean standard deviation. Data were analysed by one-way analysis of variance using Statistical Package for the Social Sciences for Windows, Version 12.0 (SPSS. Inc., Chicago, IL, USA).

Radio Records’ Analysis: During the post-exercise analysis, communications were sorted into eight categories: asking for support, answering a request, reporting position, requesting assistance, commanding, waiting for instructions, giving information, and other. A diagram of points and lines representing relations among rescuers to display position of power and lines of communication was plotted.Anecdotal observations. These images were integrated into the CITE Explorer® software package (VLS System AB, Linkoping, Sweden), which allowed a time-synchronized discrete event representation of rescue operations.Statistical Analysis: Contingency table tests were used to compare the mean triage classes. Non-parametric were used to compare the triage delay, evacuation time from crash area, and collecting area between triage categories. The appropriateness of the triage and the evacuation priorities were evaluated to reveal any significant statistical differences between planned and assigned triage color code and delay time. Treatment means were also analyzed statistically to point out different levels of efficiency. The further division of incorrect maneuvers into categories of overtreatment and under-treatment, and their comparison, was viewed as an index of available resources in a particular situation.

Manipulaiton Check3-item scale of responsibilityANOVA TestMANOVA Test

Qualitative (not specific)

Collected monitoring information was archived in a spatiotemporal database with a 2-h interval. Statistics of service performance distributions were generated according to different services, spatial regions and the great circle distance between monitoring site and the service (user–server distance). Temporal characteristics were analysed based on performance curve monthly, each day of a week, and each hour of a day. By analysing this performance information, spatiotemporal service performance patterns were identified.

An after-action review was performed and subsequently reviewed for deficiencies, which were broadly defined as the inability to use tools or fully execute patient care strategies in the intended format.

Comparison against manual human geotagging, existing solutions, existing data sets.