项目周期内交通部门参与的大数据工具包（英）2025

Big Data Toolkitfor Transport Sector EngagementsAcross the Project Cycle Aiga Stokenberga and Brock Rowberry © 2025 The World Bank1818 H Street NW, Washington DC 20433, USATelephone: +1-202-473-1000; Internet:https://www.worldbank.org/transport Standard Disclaimer This work is a product of the staff of the International Bank for Reconstruction and Development/World Bank. The findings, interpretations, and conclusions expressed in this work do not necessarilyreflect the views of Executive Directors of the World Bank or the governments they represent.TheWorld Bank does not guarantee the accuracy of the data included in this work. The boundaries,colors, denominations, and other information shown on any map in this work do not imply anyjudgment on the part of the World Bank concerning the legal status of any territory or theendorsement or acceptance of such boundaries. This work is available under the Creative Commons Attribution Non-commercial 3.0 IGO license(CCBY-NC 3.0 IGO)https://creativecommons.org/licenses/by-nc/3.0/igo/deed.en. Under theCreative Commons Attribution license, you are free to copy, distribute, transmit, and adapt thiswork, for noncommercial purposes as long as full attribution to this work is given. Attribution Please cite the work as follows: Stokenberga, Aiga, and Brock Rowberry,2025. Big Data Toolkit forTransport Sector Engagements Across the Project Cycle, Mobility and Transport Connectivity Series,Washington DC: WorldBank, License:Creative Commons Attribution Non-commercialCCBY-NC3.0IGO. Translations If you create a translation of this work, please add the following disclaimer along with the attribution:This translation was not created by the World Bank and should not be considered an officialWorldBank translation. The World Bank shall not be liable for any content or error in this translation. Adaptations If you create an adaptation of this work, please add the following disclaimer along with theattribution: This is an adaptation of an original work by the World Bank. Views and opinionsexpressed in the adaptation are the sole responsibility of the author or authors of the adaptationand are not endorsed by the World Bank. Copyright Statement The material in this publication is copyrighted. Copying and/or transmitting portions or all ofthis work without permission may be a violation of applicable law. The International Bank forReconstruction and Development/The World Bank encourages dissemination of its work and willnormally grant permission to reproduce portions of the work promptly. Table of Contents Acknowledgements.......................................................................................................................................viiiAcronyms.........................................................................................................................................................ixExecutive Summary.........................................................................................................................................11.Big vs. Traditional DataSources...........................................................................................................42.Menu of Data and Methodologies............................................................................................................72.1 Open-source data.........................................................................................................................................92.2 Privileged data accessible through World Bank platforms orspecialized teams.......................122.3 Call detail records.......................................................................................................................................162.4 Satellite imagery.........................................................................................................................................183.Big Data Applications Along the Project Cycle..................................................................................213.1 Diagnostic, identification, business development..............................................................................233.2 Project preparation and Monitoring and Evaluation.........................................................................523.3 Ex-post policy evaluation and impact evaluation.............................................................................58References......................................................................................................................................................63Image Credits.................................................................................................................................................65 Figures Figure 1.1.Applying CDR data: Data requirements increase with indicator complexity......................6Figure 2.1.Waze congestion analysis steps...............................................................................