Building Stronger Transport Policy: An Evidence Gap Map - Dataset
type: Dataset
title: Construyendo Políticas de Transporte Más Sólidas: Un Mapa de Brechas de Evidencia - Conjunto de datos @es
title: Construire une Politique de Transport Plus Forte : Une Carte des Lacunes de Preuves - Jeu de données @fr
title: Construindo Políticas de Transporte Mais Fortes: Um Mapa de Lacunas de Evidências - Conjunto de dados @pt-br
description: Efficient and reliable transport systems are central to economic growth, social inclusion, and environmental sustainability. In Latin America and the Caribbean (LAC), transport and logistics performance remains below that of advanced economies, constraining access to services, social inclusion (Scholl et al., 2021), competitiveness, and productivity (Calatayud & Montes, 2021). The EGM, available at https://developmentevidence.3ieimpact.org/egm/transportation-evidence-gap-map, presents global effectiveness evidence on transportation interventions, including roads, regional transportation and logistics; urban mobility infrastructure; and laws, regulations, and policies governing public transit, mobility, traffic, and transportation. Financed and co-produced by the Inter-American Development Bank (IDB), the EGM compiles, curates, and classifies studies that estimate causal effects, displaying where evidence is clustered and where gaps remain. It aims to help decision-makers identify the most promising approaches for improving transport systems, highlight priority areas for future research, and ultimately support evidence-informed policymaking, enhance the allocation of scarce resources, and contribute to safer, more inclusive, and more sustainable transport in LAC and beyond. Know of any studies that could be included in this map? We invite you to share them with us using this form. Note: This map includes studies published between 2005 and April 2025. Eligible studies from China—mainly focused on high-speed rail—are listed separately here. This Evidence Gap Map was co-produced by the Inter-American Development Bank’s Transport and Knowledge and Learning Divisions, and the International Initiative for Impact Evaluation (3ie). It is part of the broader collaboration between the IDB and 3ie, formalized through a Memorandum of Understanding signed in October 2023. The authors are solely responsible for any errors or omissions. IDB project collaborators: Camilo Acosta, Leo…
description: Los sistemas de transporte eficientes y confiables son fundamentales para el crecimiento económico, la inclusión social y la sostenibilidad ambiental. En América Latina y el Caribe (ALC), el desempeño del transporte y la logística sigue estando por debajo del de las economías avanzadas, lo que limita el acceso a los servicios, la inclusión social (Scholl et al., 2021), la competitividad y la productividad (Calatayud & Montes, 2021). El MVE (Mapa de Brechas de Evidencia), disponible en https://developmentevidence.3ieimpact.org/egm/transportation-evidence-gap-map, presenta evidencia global de efectividad sobre intervenciones de transporte, incluyendo carreteras, transporte regional y logística; infraestructura de movilidad urbana; y leyes, regulaciones y políticas que rigen el tránsito público, la movilidad, el tráfico y el transporte. Financiado y coproducido por el Banco Interamericano de Desarrollo (BID), el MVE compila, cura y clasifica estudios que estiman efectos causales, mostrando dónde se agrupa la evidencia y dónde persisten las brechas. Su objetivo es ayudar a los responsables de la toma de decisiones a identificar los enfoques más prometedores para mejorar los sistemas de transporte, destacar áreas prioritarias para futuras investigaciones y, en última instancia, apoyar la formulación de políticas informadas por la evidencia, mejorar la asignación de recursos escasos y contribuir a un transporte más seguro, inclusivo y sostenible en ALC y más allá. ¿Conoce algún estudio que pueda ser incluido en este mapa? Le invitamos a compartirlo con nosotros usando este formulario. Nota: Este mapa incluye estudios publicados entre 2005 y abril de 2025. Los estudios elegibles de China—enfocados principalmente en trenes de alta velocidad—se enumeran por separado aquí. Este Mapa de Brechas de Evidencia fue coproducido por las Divisiones de Transporte y de Conocimiento y Aprendizaje del Banco Interamericano de Desarrollo, y la Iniciativa Internacional para la Evaluación de… @es
description: Des systèmes de transport efficaces et fiables sont essentiels à la croissance économique, à l'inclusion sociale et à la durabilité environnementale. En Amérique latine et dans les Caraïbes (ALC), la performance des transports et de la logistique reste inférieure à celle des économies avancées, limitant l'accès aux services, l'inclusion sociale (Scholl et al., 2021), la compétitivité et la productivité (Calatayud & Montes, 2021). L'EGM (Carte des Lacunes de Preuves), disponible sur https://developmentevidence.3ieimpact.org/egm/transportation-evidence-gap-map, présente des preuves d'efficacité mondiales sur les interventions dans le domaine des transports, y compris les routes, le transport régional et la logistique ; les infrastructures de mobilité urbaine ; et les lois, réglementations et politiques régissant les transports publics, la mobilité, la circulation et le transport. Financée et coproduite par la Banque Interaméricaine de Développement (BID), l'EGM compile, organise et classifie des études qui estiment les effets causals, montrant où les preuves sont concentrées et où les lacunes demeurent. Elle vise à aider les décideurs à identifier les approches les plus prometteuses pour améliorer les systèmes de transport, à souligner les domaines prioritaires pour la recherche future et, finalement, à soutenir l'élaboration de politiques fondées sur des preuves, à améliorer l'allocation des ressources rares et à contribuer à des transports plus sûrs, plus inclusifs et plus durables en ALC et au-delà. Connaissez-vous des études qui pourraient être incluses dans cette carte ? Nous vous invitons à les partager avec nous en utilisant ce formulaire. Note : Cette carte inclut les études publiées entre 2005 et avril 2025. Les études éligibles de Chine—principalement axées sur le train à grande vitesse—sont répertoriées séparément ici. Cette Carte des Lacunes de Preuves a été coproduite par les Divisions des Transports et de la Connaissance et de l'Apprentissage de la Banqu… @fr
description: Sistemas de transporte eficientes e confiáveis são centrais para o crescimento econômico, a inclusão social e a sustentabilidade ambiental. Na América Latina e no Caribe (ALC), o desempenho dos transportes e da logística permanece abaixo do observado nas economias avançadas, restringindo o acesso a serviços, a inclusão social (Scholl et al., 2021), a competitividade e a produtividade (Calatayud & Montes, 2021). O Mapeamento de Lacunas de Evidências (EGM), disponível em https://developmentevidence.3ieimpact.org/egm/transportation-evidence-gap-map, apresenta evidências globais de eficácia sobre intervenções em transportes, incluindo estradas, transporte regional e logística; infraestrutura de mobilidade urbana; e leis, regulamentos e políticas que regem o transporte público, a mobilidade, o tráfego e o transporte. Financiado e coproduzido pelo Banco Interamericano de Desenvolvimento (BID), o EGM compila, organiza e classifica estudos que estimam efeitos causais, exibindo onde as evidências estão concentradas e onde persistem as lacunas. O objetivo é ajudar os tomadores de decisão a identificar as abordagens mais promissoras para melhorar os sistemas de transporte, destacar áreas prioritárias para pesquisas futuras e, em última análise, apoiar a formulação de políticas informadas por evidências, melhorar a alocação de recursos escassos e contribuir para um transporte mais seguro, inclusivo e sustentável na ALC e além. Conhece algum estudo que poderia ser incluído neste mapa? Convidamos você a compartilhá-lo conosco usando este formulário. Nota: Este mapa inclui estudos publicados entre 2005 e abril de 2025. Estudos elegíveis da China—focados principalmente em trens de alta velocidade—estão listados separadamente aqui. Este Mapeamento de Lacunas de Evidências foi coproduzido pelas Divisões de Transporte e de Conhecimento e Aprendizagem do Banco Interamericano de Desenvolvimento e pela Iniciativa Internacional para Avaliação de Impacto (3ie). Faz parte da colaboração mai… @pt-br
accrual periodicity: {'en': '', 'es': '', 'fr': '', 'pt_BR': ''}
issued: 2025-11-12T19:42:45.132396
modified: 2025-11-14T20:47:39.850877
language: English
temporal: PeriodOfTime
  start date: 2005-01-01
  end date: 2025-01-01
publisher: 03h9b6r55
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Administrative Data
type: Concept
preferred label: Datos Administrativos @es
preferred label: Donnée administrative @fr

3ie TSP EGM Protocol Outline
type: Distribution
description: PDF file containing the 3ie TSP EGM Protocol Outline.
language: English
license: deed
format: PDF
issued: 2025-11-12T19:43:57.321503
modified: 2025-11-12T19:43:59.846841

1.1 TSP EGM Final_ier
type: Distribution
description: The dataset with impact evaluations.
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:49:17.644558
modified: 2025-11-12T19:49:29.989876
checksum: Checksum
variable: ID
variable: Title
variable: Authors
variable: Publication year
variable: URL link
variable: Multi-component intervention
variable: Study type
variable: IDB study
variable: Cost information
variable: Journal Rank
variable: Intervention 1
variable: Intervention 2
variable: Intervention 3
variable: Outcome 1
variable: Outcome 2
variable: Outcome 3
variable: language
variable: journal
variable: journal_volume
variable: journal_issue
variable: pages
variable: doi
variable: abstract
variable: open_access
variable: publication_type
variable: keywords
variable: continent
variable: country
variable: income_level
variable: evaluation_design
variable: evaluation_method
variable: additional_method

1.2 TSP EGM FINAL srr
type: Distribution
description: The dataset with systematic reviews
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:49:53.362903
modified: 2025-11-14T16:46:28.922232
checksum: Checksum
variable: ID
variable: Title
variable: Authors
variable: Publication year
variable: URL link
variable: Multi-component intervention
variable: Study type
variable: IDB study
variable: Cost information
variable: Journal Rank
variable: Intervention 1
variable: Outcome 1
variable: language
variable: Journal
variable: Journal volume
variable: Journal issue
variable: Pages
variable: DOI
variable: Abstract
variable: Keywords
variable: continent
variable: country
variable: income_level
variable: QA_A1.1
variable: QA_A1.2
variable: QA_A1.3
variable: QA_A1.4
variable: QA_A1
variable: QA_A2.1
variable: QA_A2.2
variable: QA_A2.3
variable: QA_A2.4
variable: QA_A2.5
variable: QA_A2
variable: QA_A3
variable: QA_A4.1
variable: QA_A4.2
variable: QA_A4.3
variable: QA_A4
variable: QA_A5.1
variable: QA_A5.2
variable: QA_A5.3
variable: QA_A5
variable: QA_A6
variable: QA_B1.1a
variable: QA_B1.1b
variable: QA_B1.2
variable: QA_B1.3
variable: QA_B1
variable: QA_B2
variable: QA_B3.1
variable: QA_B3.2
variable: QA_B3.3
variable: QA_B3
variable: QA_B4.1
variable: QA_B4.2
variable: QA_B4.3
variable: QA_B4
variable: QA_B5.1
variable: QA_B5.2
variable: QA_B5
variable: QA_B6.1
variable: QA_B6.2
variable: QA_B6
variable: QA_B7
variable: QA_C1
variable: QA_C2
variable: QA_C3

2. Interventions
type: Distribution
description: The hierarchy of interventions for this map.
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:50:41.676947
modified: 2025-11-12T19:50:53.802903
checksum: Checksum
variable: Category
variable: Intervention
variable: Description

3. Outcomes
type: Distribution
description: The hierarchy of the outcomes for this map.
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:51:24.197565
modified: 2025-11-12T19:51:34.253758
checksum: Checksum
variable: Category
variable: Outcome
variable: Description

4. Author Database
type: Distribution
description: Database containing the authors of the studies in 1.1 and 1.2 and their affiliations
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:52:06.118097
modified: 2025-11-12T19:52:21.282882
checksum: Checksum
variable: id
variable: authors
variable: author_affiliation
variable: department
variable: author_country

Dictionary TSP EGM FINAL srr
type: Distribution
description: Dictionary for the dataset with impact evaluations
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:53:52.295226
modified: 2025-11-14T16:48:27.024743
checksum: Checksum
variable: Column
variable: Type
variable: Description

Dictionary_TSP EGM FINAL_ier
type: Distribution
description: Dictionary for the database with impact evaluations.
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:54:50.718692
modified: 2025-11-12T19:55:01.848674
checksum: Checksum
variable: Column
variable: Type
variable: Description

dictionary_TSP Author Database
type: Distribution
description: Dictionary of the database containing the authors of the studies in 1.1 and 1.2 and their affiliations
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:56:58.686899
modified: 2025-11-12T19:57:10.243252
checksum: Checksum
variable: Column
variable: Type
variable: Description

Dictionary_TSP Interventions
type: Distribution
description: Dictionary of the hierarchy of the outcomes for this map
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:57:43.045608
modified: 2025-11-12T19:57:52.257543
checksum: Checksum
variable: Column
variable: Type
variable: Description

Dictionary_TSP outcomes
type: Distribution
description: Dictionary of the hierarchy of the outcomes for this map.
language: English
license: deed
format: XLSX
issued: 2025-11-12T19:58:30.474796
modified: 2025-11-12T19:58:39.904218
checksum: Checksum
variable: Column
variable: Type
variable: Description

03h9b6r55
type: Agent
type: organizational

Organization
name: {'en': 'Knowledge and Learning Division (VPS/VPS/KLD); Transport Division (VPS/INE/TSP)', 'es': 'Knowledge and Learning Division (VPS/VPS/KLD); Transport Division (VPS/INE/TSP)', 'fr': 'Knowledge and Learning Division (VPS/VPS/KLD); Transport Division (VPS/INE/TSP)', 'pt_BR': 'Knowledge and Learning Division (VPS/VPS/KLD); Transport Division (VPS/INE/TSP)'}

Structured Data
type: Concept
preferred label: Datos Estructurados @es

Panel Data
type: Concept
preferred label: Datos del Panel @es
preferred label: Donnée de Panel @fr

Borja, Leonel
type: Person

Acosta, Camilo
type: Person
url: https://orcid.org/0000-0003-0326-5090

Porto, Indira
type: Person

Anda, María Daniela
type: Person
url: https://orcid.org/0000-0003-3703-918X

Description
type: Variable

id
type: Variable

country
type: Variable

QA_A2
type: Variable

Multi-component intervention
type: Variable
identifier: Multi-component intervention

Journal issue
type: Variable
identifier: Journal issue

Type
type: Variable

QA_B6
type: Variable

QA_B5
type: Variable

QA_C3
type: Variable

Outcome 1
type: Variable
identifier: Outcome 1

QA_C2
type: Variable

Abstract
type: Variable

ID
type: Variable

Study type
type: Variable
identifier: Study type

keywords
type: Variable

QA_B7
type: Variable

Journal Rank
type: Variable
identifier: Journal Rank

Type
type: Variable

QA_A1.4
type: Variable

QA_B1.1a
type: Variable

Description
type: Variable

QA_B6.2
type: Variable

Column
type: Variable

continent
type: Variable

Cost information
type: Variable
identifier: Cost information

Authors
type: Variable

QA_B2
type: Variable

QA_B3
type: Variable

Study type
type: Variable
identifier: Study type

QA_B4
type: Variable

URL link
type: Variable
identifier: URL link

DOI
type: Variable

QA_A3
type: Variable

evaluation_design
type: Variable

additional_method
type: Variable

QA_B5.1
type: Variable

QA_A4.2
type: Variable

Column
type: Variable

QA_C1
type: Variable

Multi-component intervention
type: Variable
identifier: Multi-component intervention

Type
type: Variable

Outcome 3
type: Variable
identifier: Outcome 3

authors
type: Variable

QA_A2.2
type: Variable

QA_B4.1
type: Variable

QA_B4.2
type: Variable

doi
type: Variable

Type
type: Variable

QA_B1
type: Variable

QA_A1.1
type: Variable

QA_B6.1
type: Variable

Title
type: Variable

income_level
type: Variable

Keywords
type: Variable

author_affiliation
type: Variable

Column
type: Variable

QA_B4.3
type: Variable

Outcome
type: Variable

income_level
type: Variable

QA_B1.2
type: Variable

Publication year
type: Variable
identifier: Publication year

QA_A5.3
type: Variable

QA_A4
type: Variable

QA_B3.2
type: Variable

Description
type: Variable

Publication year
type: Variable
identifier: Publication year

Title
type: Variable

Journal
type: Variable

QA_A2.5
type: Variable

QA_A5
type: Variable

Description
type: Variable

QA_A6
type: Variable

department
type: Variable

Outcome 2
type: Variable
identifier: Outcome 2

QA_B3.3
type: Variable

continent
type: Variable

QA_A1.2
type: Variable

Journal volume
type: Variable
identifier: Journal volume

journal
type: Variable

IDB study
type: Variable
identifier: IDB study

QA_A4.3
type: Variable

Journal Rank
type: Variable
identifier: Journal Rank

ID
type: Variable

Authors
type: Variable

QA_A2.1
type: Variable

QA_A2.4
type: Variable

QA_A4.1
type: Variable

Description
type: Variable

language
type: Variable

QA_B1.3
type: Variable

Intervention 1
type: Variable
identifier: Intervention 1

Column
type: Variable

Pages
type: Variable

QA_A1.3
type: Variable

journal_volume
type: Variable

QA_B3.1
type: Variable

open_access
type: Variable

Column
type: Variable

abstract
type: Variable

QA_B1.1b
type: Variable

Description
type: Variable

QA_A2.3
type: Variable

Intervention 2
type: Variable
identifier: Intervention 2

Outcome 1
type: Variable
identifier: Outcome 1

QA_B5.2
type: Variable

journal_issue
type: Variable

Intervention 3
type: Variable
identifier: Intervention 3

QA_A1
type: Variable

Category
type: Variable

URL link
type: Variable
identifier: URL link

Category
type: Variable

IDB study
type: Variable
identifier: IDB study

evaluation_method
type: Variable

Intervention
type: Variable

pages
type: Variable

Type
type: Variable

QA_A5.2
type: Variable

Intervention 1
type: Variable
identifier: Intervention 1

Cost information
type: Variable
identifier: Cost information

country
type: Variable

Description
type: Variable

language
type: Variable

QA_A5.1
type: Variable

author_country
type: Variable

publication_type
type: Variable