Impact Evaluation of Transport Interventions: A Review of the Evidence
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Impact Evaluation of Transport Interventions - David A. Raitzer
IMPACT EVALUATION OF TRANSPORT INTERVENTIONS
A REVIEW OF THE EVIDENCE
David A. Raitzer, Nina Blöndal, and Jasmin Sibal
APRIL 2019
Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO)
© 2019 Asian Development Bank
6 ADB Avenue, Mandaluyong City, 1550 Metro Manila, Philippines
Tel +63 2 632 4444; Fax +63 2 636 2444
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Some rights reserved. Published in 2019.
ISBN 978-92-9261-586-4 (print), 978-92-9261-587-1 (electronic)
Publication Stock No. TCS190095-2
DOI: http://dx.doi.org/10.22617/TCS190095-2
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In this publication, $
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ADB recognizes China
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On the cover: Impact evaluation needs to consider the effects of transport sector interventions on various sectors (photos by ADB).
Cover design by Joe Mark Ganaban.
Contents
Tables, Figures, and Boxes
Foreword
Strategy 2030 of the Asian Development Bank emphasizes the creation of knowledge from investment operations and the use of evidence from past projects to design new interventions. The Strategy also seeks a more proactive role for research to help to replicate good project practices across Asia and the Pacific region. For these ambitions to be fulfilled, evidence on the intended and unintended effects of interventions needs to be accumulated. Impact evaluation is a central means for generating evidence.
To build a broader body of evidence on what works
in development, impact evaluation needs to be mainstreamed across a range of development investments. In recent years, impact evaluation coverage has made substantial progress in the health and education sectors. Although sectors dominated by hard infrastructure,
such as transport, account for far more development investment, the number of impact evaluations on these sectors has remained limited. Moreover, transport investments have become very complex and more oriented toward making transport sustainable and inclusive. Along with these innovations has come an increasing array of behavioral assumptions underpinning interventions, which impact evaluations can help to test.
At the same time, transport sector interventions have special challenges for impact evaluation. Many transport investments, such as highways or mass transit, are small-n
interventions, which affect large geographies, so that there are insufficient numbers of treated and untreated units for enabling conventional statistical analyses. Transport costs condition where households and firms chose to be located, so that exposure to transport interventions can be endogenous to household and firm characteristics over long time periods. Capturing spillover effects can also be a challenge, as changes to transport costs can be transmitted across large transit networks.
This review is intended to help offer insights