FESTA. D2.4 Data analysis and modelling
The chapter of the handbook and the deliverable on data analysis will provide guidance andgeneral principles for- pre-testing to check the usability of the system and the feasibility of the evaluation process,- controlling the consistency of the chain and the precision with different sampling schemes,- modelling the impact for each indicators and for an integrated evaluation including asystemic and multidisciplinary interpretation of the effects,- integrating and controlling the quality of space-time data from various sources (numerical,video, questionnaires),- selecting the appropriate statistical techniques for data processing, PI estimation andhypothesis testing in accordance to the list of indicators and experimental design,- scaling up from experimental data and identified models to population and network level.Experimentalists stress the role and importance of a preliminary field test in FOT. Three mainobjectives have been defined to make a preliminary diagnosis of usability of the systems andto check the relevance and feasibility of the evaluation process. These preliminary tests arevery important for the practical deployment of the FOT as well as for the overall scientificevaluation process.Recommendations about the monitoring of local and global consistency of the chain ofoperations from the database extraction to the hypothesis testing are given, especially toensure the validation of the calculation of the Performance indicators.Integration of the outputs of the different analysis and hypothesis testing requires a kind ofmeta-model and the competences of a multidisciplinary evaluation team, specially forinterpretation of the system impact and secondary effects (behavioural adaptation, learningprocess, long-term retroaction, …).In cooperation with WP2.2, methods for data quality control have been defined. Four types ofchecks have been defined to complement the information of the data base in order to preparethe data for the analysis.Statistical methods have been described for three steps of the chain: data processing, PIcalculation and hypothesis testing. They belong either to exploratory data analysis or toinferential analysis. Special attention has been given to the precision of the estimates of theeffects or impacts of the system on the Performance indicators by stressing the importance ofcontrolled randomisation and application of mixed regression models.Scaling-up relies upon the potential to extrapolate from the PIs to estimates of the impact atan aggregated level. Three approaches have been defined to carry out the scaling up processfrom direct estimations to simulation models with the related assumptions. Models and methodologies for scaling up results on traffic flow, environmental effects (e.g. PM10, CO2,Noise emissions in db) and traffic safety have been collected.
Year of publication: |
2008
|
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Authors: | Lenard, James ; Morris, Andrew |
Institutions: | FESTA Consortium |
Publisher: |
FESTA |
Saved in:
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