: Katrin Dziekan, Veronique Riedel, Stephanie Müller, Michael Abraham, Stefanie Kettner, Stephan Daubi
: Evaluation matters A practitioners' guide to sound evaluation for urban mobility measures
: Waxmann Lehrbuch
: 9783830978817
: 1
: CHF 15.80
:
: Politik
: English
: 177
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF
Based on the authors' rich experiences, this book demonstrates that evaluation of measures aimed at more sustainable mobility is a useful task which can be learned by everybody. By integrating theory and practice it offers richly-illustrated case examples and cartoons to provide hands on advice. It offers a framework for thinking about evaluation of mobility-related measures and outlines the necessary steps for good evaluation practice. Key Features•Richly illustrated by comics and on real measure examples.•A step-by-step hands on guide for practitioners.
Buchtitel1
Preface8
1 Introduction11
1.1 What is evaluation?11
1.2 What is the point of evaluation anyway?12
1.3 How does evaluation work?14
1.4 Whom do I need to get involved?17
1.5 Why do we need this book?18
2 Impact evaluation22
2.1 Objectives of your measure24
2.2 Effect analysis28
2.3 Indicators32
2.4 Evaluation design35
2.5 Data collection45
2.6 Data analysis60
2.7 Discussion of results from data analysis76
3 Process evaluation78
3.1 Aim and outcome78
3.2 Barriers and drivers80
3.3 Activities related to barriers and drivers83
3.4 Methods for process evaluation84
4 Information reporting and utilisation93
4.1 Result presentation93
4.2 Up-scaling of results102
4.3 Transferability108
5 And now: back to reality116
5.1 Some myths about evaluation116
5.2 ‘Things’ which can mess up your evaluation118
5.3 Strengthening the quality of your evaluation120
6 The very last chapter123
6.1 Some words to the evaluator123
6.2 Some words to politicians124
7 Evaluation examples126
7.1 Utrecht Road Safety Label126
7.2 Utrecht Cargohopper139
7.3 Tallinn Knitting Bus150
8 Index172
9 List of useful evaluation literature173
9.1 Evaluation literature173
9.2 Evaluation resource web sites173
9.3 Data collection and analysis methods175
9.4 Links to helpful software175
10 References and picture credits177