Publication:
Incorporating Resilience in Infrastructure Prioritization: Application to the Road Transport Sector

Loading...
Thumbnail Image
Files in English
English PDF (1.17 MB)
699 downloads
English Text (93.54 KB)
37 downloads
Published
2018-09
ISSN
Date
2018-09-14
Editor(s)
Abstract
Disruption of infrastructure services can cause significant social and economic losses, particularly in the event of a natural disaster. The World Bank Group and the Government of Japan established the Quality Infrastructure Investment Partnership to focus attention on the quality dimensions of infrastructure in developing countries, with a focus on promoting disaster resilience. Moreover, to support infrastructure investment decision making for sustainable and resilient development, the World Bank and Kyoto University have operationalized key resilience concepts at the project level and developed quantitative indicators capturing key aspects of infrastructure resilience related to the road transport sector. These indicators estimate resilience, expressed as functionality loss and recovery time across four dimensions: travel time, economic benefit, provision of life-saving services, and provision of relief goods. The paper applies indicator calculations to three case studies of proposed bypass roads in Japan and provides an example comparison of calculated indicators across the three projects for each resilience dimension. Further piloting of the approach will help refine the indicators, test their relative utility in decision making, and offer a better understanding of the data and analytical demands.
Link to Data Set
Citation
Marcelo, Darwin; House, Schuyler; Raina, Aditi. 2018. Incorporating Resilience in Infrastructure Prioritization: Application to the Road Transport Sector. Policy Research Working Paper;No. 8584. © World Bank. http://hdl.handle.net/10986/30429 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    Rigging the Scores: Corruption through Scoring Rule Manipulation in Public Procurement Auctions
    (Washington, DC: World Bank, 2025-12-02) Chen, Qianmiao
    Public procurement is highly susceptible to corruption, especially in developing countries. Although open auctions are widely adopted to curb it, this paper finds that corruption remains prevalent even within this procurement format. Procurement officers can collaborate with firms to manipulate scoring rules, ensuring predetermined winners, while corrupt firms submit noncompetitive bids to meet minimum bidder requirements. Using extensive data from Chinese public procurement auctions, the paper introduces model-driven statistical tools to detect such corruption, identifying a corruption rate of 65 percent. A procurement expert audit survey confirms the tools’ reliability, with a 91 percent probability that experts recognize suspicious scoring rules when flagged. Firm-level analysis reveals that local, state-owned, and less productive firms are favored in corrupt auctions. Lastly, the paper explores policy implications. Analysis of the national anti-corruption campaign since 2012 suggests that general investigations may be insufficient to address deeply ingrained corrupt practices. Using counterfactuals based on an estimated structural model, the paper shows that implementing anonymous call-for-tender evaluations could improve social welfare by 10 percent by eliminating suspicious rules and encouraging broader participation.
  • Publication
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    Investment Policy Reforms and Foreign Direct Investment Inflows
    (Washington, DC: World Bank, 2025-12-01) Fwaga, Sammy; Chakrapani, Deepa; Abebe, Girum
    Foreign direct investment has the potential to introduce much-needed capital and expertise in emerging and developing economies. To attract foreign direct investment, many countries have eased restrictions on foreign ownership in various sectors, reformed their institutions, and set up investment promotion agencies. Until the mid-2010s, Ethiopia remained one of the few countries that resisted this trend, with several stringent restrictions in place on foreign direct investment entry and operations in the country. This study employs a synthetic control method to examine patterns in foreign capital inflows following a series of investment policy reforms that were substantively introduced in the mid-2010s (circa 2015). The study offers evidence that investment policy reforms contributed to a significant foreign direct investment inflow in Ethiopia, compared to what would have occurred in the absence of these policies. An alternative strategy that conservatively specifies the donor country pool using an AI-assisted deep search technique changes the donor pool weighting matrix of the synthetic control method, but the estimated policy effects largely remain robust to this specification. The findings highlight the importance of targeted reforms in promoting foreign direct investment inflow in developing countries.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Prioritizing Infrastructure Investments
    (World Bank, Washington, DC, 2018-10) Marcelo, Darwin; House, Schuyler; Raina, Aditi
    Governments worldwide face the difficult challenge of deciding which infrastructure projects to prioritize and select for implementation, given the limits of available funding and the need to attain their developmental goals. The key objective of this report is to conduct a comparative exercise between the World Bank's Infrastructure Prioritization Framework, a multicriteria analysis–based methodology to project prioritization, and a more complex cost-benefit analysis–based approach. The report focuses on Chile, which has a well-institutionalized evaluation process that uses cost-benefit analysis to assess projects on their quality and ability to generate value for money. The analysis compares the results of the Infrastructure Prioritization Framework alongside Chile's current cost-benefit analysis–based and multicriteria analysis approaches to the same subsets of projects in the road transport and water reservoir subsectors, respectively. The results show that the Infrastructure Prioritization Framework has application beyond its original proposition and can complement a traditional cost-benefit analysis by directly considering social and environmental policy goals that are otherwise difficult to quantify in a cost-benefit analysis. The analysis also finds that in Chile there is a discrepancy between the stated goals and objectives of the appraisal system and the actual implementation. In the case of transport sector projects, there is an evident deviation between cost-benefit analysis–based selection policy and actual decisions made for project implementation. In the case of water catchment selection, there is a bias toward projects with higher financial-economic performance as compared to social-environmental performance, despite policy intentions to afford consideration to environmental and social development goals.
  • Publication
    Prioritizing Water Supply Infrastructure Investments in Sri Lanka
    (World Bank, Washington, DC, 2018-02) Marcelo, Darwin; Saha, Deblina; Raina, Aditi; House, Schuyler
    Governments are challenged to balance multiple policy goals and make difficult choices when selecting infrastructure projects for public investment, particularly since available funds are often insufficient to implement the full suite of proposals. This paper presents the application of the Infrastructure Prioritization Framework, a systematic, multi-criteria approach to infrastructure project prioritization, to inform the selection of water supply investments in Sri Lanka. A set of 28 proposed water supply projects was prioritized at the request of the National Planning Department of Sri Lanka, based on consideration of multiple goals, including improved water quality and service, network extension, service provision to poor communities, job creation, and sound financial performance. This paper reviews the Infrastructure Prioritization Framework methodology; presents the results of the prioritization exercise, including an expanded sensitivity analysis; and discusses the way forward to apply the Infrastructure Prioritization Framework to inform infrastructure investment decisions.
  • Publication
    Prioritizing Infrastructure Investments in Panama
    (World Bank, Washington, DC, 2016-04) Marcelo, Darwin; Mandri-Perrott, Cledan; House, Schuyler
    Infrastructure services are significant determinants of economic development, social welfare, trade, and public health. As such, they typically feature strongly in national development plans. While governments may receive many infrastructure project proposals, however, resources are often insufficient to finance the full set of proposals in the short term. Leading up to 2020, an estimated US$836 billion - 1 trillion will be required each year to meet growth targets worldwide (Ruiz-Nunez and Wei, 2014; World Bank). Global estimates of infrastructure investments required to support economic growth and human development lie in the range of US$65-70 trillion by 2030 (OECD, 2006), while the estimated pool of available funds is limited to approximately US$45 trillion (B20, 2014). The past twenty years have also seen a shift towards decentralized infrastructure planning. Many subnational governments, regional entities, and sector agencies have been delegated responsibility for infrastructure planning promote local responsiveness, but responsibility for allocating funds often remains with a centralized finance agency (CFA). While constituencies may propose numerous projects, governments often have insufficient financial resources to implement the full suite of proposals. This report presents the IPF methodology and results of the pilot application to a select set of transport and water and sanitation projects in Panama. The report first gives background information on infrastructure prioritization in Panama, then follows with a description of the IPF in technical and implementation terms. Next, we present the results of the pilot and close with recommendations for implementing IPF to a wider set of projects.
  • Publication
    Prioritizing Infrastructure Investment
    (World Bank, Washington, DC, 2016-05) Marcelo, Darwin; Mandri-Perrott, Cledan; House, Schuyler; Schwartz, Jordan
    Governments must decide how to allocate limited resources for infrastructure development, particularly since financing gaps have been projected for the coming decades. Social cost-benefit analysis provides sound project appraisal and, when systematically applied, a basis for prioritization. In some instances, however, capacity and resource limitations make extensive economic analyses across all projects unfeasible in the immediate term. This paper responds to a need for expanding the available set of tools for project selection by proposing an alternative prioritization approach that is systematic and feasible within the current resource means of government. The Infrastructure Prioritization Framework is a multi-criteria decision support tool that considers project outcomes along two dimensions, social-environmental and financial-economic. When large sets of small- to medium-sized projects are proposed, resources are limited, and basic project appraisal data (but not full social cost-benefit analysis) are available, the Infrastructure Prioritization Framework can inform project selection by combining selection criteria into social-environmental and financial-economic indexes. These indexes are used to plot projects on a Cartesian plane, and the sector budget is imposed to create a project map for comparison along each dimension. The Infrastructure Prioritization Framework is structured to accommodate multiple policy objectives, attend to social and environmental factors, provide an intuitive platform for displaying results, and take advantage of available data while promoting capacity building and data collection for more sophisticated appraisal methods and selection frameworks. Decision criteria, weighting, and sensitivity analysis should be decided and made transparent in advance of selection, and analysis should be made publicly available and open to third-party review.
  • Publication
    Estimating Resiliency Benefits of Road Upgradation
    (World Bank, Washington, DC, 2020-03) Marcelo, Darwin; Raina, Aditi
    Governments and their multilateral partners are increasingly recognizing the importance of incorporating climate and disaster resilience considerations into infrastructure development plans as well as the related construction and financing decisions. The potential medium- and long-term benefits of increased resilience must be considered alongside short-term costs of resilient design and implementation. The objective of this paper to estimate the resiliency benefits, in terms of key socioeconomic outcomes, under several road upgradation options and rainfall scenarios. The estimated benefits are compared against the related lifecycle costs to inform investment decisions. The analysis is based on the methodology developed by the World Bank and Kyoto University to operationalize and measure key infrastructure resilience concepts at the project level. The East Road in Malaita in the Solomon Islands is used to pilot the this methodology and examine its applicability. The parameters selected to measure resiliency are based on the key benefits the road provides to the people living around it: economic benefits proxied by travel time, access to hospitals, and access to markets. Due to data constraints in Malaita, the report is based primarily on expert inputs and geo-spatial data. It considers mainly technical improvements to road upgradation that might impact resiliency.

Users also downloaded

Showing related downloaded files

  • Publication
    Classroom Assessment to Support Foundational Literacy
    (Washington, DC: World Bank, 2025-03-21) Luna-Bazaldua, Diego; Levin, Victoria; Liberman, Julia; Gala, Priyal Mukesh
    This document focuses primarily on how classroom assessment activities can measure students’ literacy skills as they progress along a learning trajectory towards reading fluently and with comprehension by the end of primary school grades. The document addresses considerations regarding the design and implementation of early grade reading classroom assessment, provides examples of assessment activities from a variety of countries and contexts, and discusses the importance of incorporating classroom assessment practices into teacher training and professional development opportunities for teachers. The structure of the document is as follows. The first section presents definitions and addresses basic questions on classroom assessment. Section 2 covers the intersection between assessment and early grade reading by discussing how learning assessment can measure early grade reading skills following the reading learning trajectory. Section 3 compares some of the most common early grade literacy assessment tools with respect to the early grade reading skills and developmental phases. Section 4 of the document addresses teacher training considerations in developing, scoring, and using early grade reading assessment. Additional issues in assessing reading skills in the classroom and using assessment results to improve teaching and learning are reviewed in section 5. Throughout the document, country cases are presented to demonstrate how assessment activities can be implemented in the classroom in different contexts.
  • Publication
    Digital Africa
    (Washington, DC: World Bank, 2023-03-13) Begazo, Tania; Dutz, Mark Andrew; Blimpo, Moussa
    All African countries need better and more jobs for their growing populations. "Digital Africa: Technological Transformation for Jobs" shows that broader use of productivity-enhancing, digital technologies by enterprises and households is imperative to generate such jobs, including for lower-skilled people. At the same time, it can support not only countries’ short-term objective of postpandemic economic recovery but also their vision of economic transformation with more inclusive growth. These outcomes are not automatic, however. Mobile internet availability has increased throughout the continent in recent years, but Africa’s uptake gap is the highest in the world. Areas with at least 3G mobile internet service now cover 84 percent of Africa’s population, but only 22 percent uses such services. And the average African business lags in the use of smartphones and computers as well as more sophisticated digital technologies that catalyze further productivity gains. Two issues explain the usage gap: affordability of these new technologies and willingness to use them. For the 40 percent of Africans below the extreme poverty line, mobile data plans alone would cost one-third of their incomes—in addition to the price of access devices, apps, and electricity. Data plans for small- and medium-size businesses are also more expensive than in other regions. Moreover, shortcomings in the quality of internet services—and in the supply of attractive, skills-appropriate apps that promote entrepreneurship and raise earnings—dampen people’s willingness to use them. For those countries already using these technologies, the development payoffs are significant. New empirical studies for this report add to the rapidly growing evidence that mobile internet availability directly raises enterprise productivity, increases jobs, and reduces poverty throughout Africa. To realize these and other benefits more widely, Africa’s countries must implement complementary and mutually reinforcing policies to strengthen both consumers’ ability to pay and willingness to use digital technologies. These interventions must prioritize productive use to generate large numbers of inclusive jobs in a region poised to benefit from a massive, youthful workforce—one projected to become the world’s largest by the end of this century.
  • Publication
    Brazil Country Climate and Development Report
    (World Bank Group, Washington DC, 2023-05-04) World Bank Group
    Brazil is highly exposed to climate change risks. The impacts of global climate change risks and local practices on the Amazon and Cerrado biomes are of particular concern, as they provide vital ecosystem services to Brazil, the South American region, and the world. The Brazil Country Climate and Development Report (CCDR) examines the implications of climate change and climate action for Brazil's development objectives and priorities. It identifies opportunities for Brazil to achieve both its development goals and its climate commitments. It lays out a combination of sectoral and economy-wide policy reforms, as well as targeted investments in near- and medium-term mitigation and adaptation measures to achieve more rapid and inclusive development with lower greenhouse gas (GHG) emissions. The idea is to maximize synergies between climate and development objectives, while addressing trade-offs among policy objectives and key transition challenges.
  • Publication
    Argentina Country Climate and Development Report
    (World Bank, Washington, DC, 2022-11) World Bank Group
    The Argentina Country Climate and Development Report (CCDR) explores opportunities and identifies trade-offs for aligning Argentina’s growth and poverty reduction policies with its commitments on, and its ability to withstand, climate change. It assesses how the country can: reduce its vulnerability to climate shocks through targeted public and private investments and adequation of social protection. The report also shows how Argentina can seize the benefits of a global decarbonization path to sustain a more robust economic growth through further development of Argentina’s potential for renewable energy, energy efficiency actions, the lithium value chain, as well as climate-smart agriculture (and land use) options. Given Argentina’s context, this CCDR focuses on win-win policies and investments, which have large co-benefits or can contribute to raising the country’s growth while helping to adapt the economy, also considering how human capital actions can accompany a just transition.
  • Publication
    Business Ready 2024
    (Washington, DC: World Bank, 2024-10-03) World Bank
    Business Ready (B-READY) is a new World Bank Group corporate flagship report that evaluates the business and investment climate worldwide. It replaces and improves upon the Doing Business project. B-READY provides a comprehensive data set and description of the factors that strengthen the private sector, not only by advancing the interests of individual firms but also by elevating the interests of workers, consumers, potential new enterprises, and the natural environment. This 2024 report introduces a new analytical framework that benchmarks economies based on three pillars: Regulatory Framework, Public Services, and Operational Efficiency. The analysis centers on 10 topics essential for private sector development that correspond to various stages of the life cycle of a firm. The report also offers insights into three cross-cutting themes that are relevant for modern economies: digital adoption, environmental sustainability, and gender. B-READY draws on a robust data collection process that includes specially tailored expert questionnaires and firm-level surveys. The 2024 report, which covers 50 economies, serves as the first in a series that will expand in geographical coverage and refine its methodology over time, supporting reform advocacy, policy guidance, and further analysis and research.