2024-02-10-世界银行-制定流动性和性别指数_45页_830kb
报告摘要
Mobility and Gender Index Report Summary
This report explores the development of a Mobility and Gender Index (MGI) to track gender-based inequalities in transportation mobility. Key Findings and Progress:
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Conceptual Framework:
- A 6-dimension theoretical framework has been proposed to analyze gender and mobility:
- Gender and mobility patterns (modes, locations, timings)
- Gendered barriers to mobility
- Gender and mobility infrastructure
- Gendered perceptions of transport
- Women’s representation in the transport sector
- Legal and policy frameworks
- A 6-dimension theoretical framework has been proposed to analyze gender and mobility:
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Measurement Framework:
- A metric-based system (minmax approach) was used to score indicators, rescaled to 0–1, focusing on levels rather than gaps.
- Scores were aggregated using arithmetic means per dimension.
- Data pre-processing involved filters for geographic coverage, periodicity, data availability, and statistical validity.
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Visualizations:
- Heatmaps for Dimension 2 (Safety and Security) and Dimensions 4 & 5 (Perceptions and Women’s Representation) revealed significant disparities:
- High gender gaps in cross-country safety perceptions.
- Lower women’s employment in the transport sector in regions like MENA and Sub-Saharan Africa.
- Heatmaps for Dimension 2 (Safety and Security) and Dimensions 4 & 5 (Perceptions and Women’s Representation) revealed significant disparities:
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Preliminary Challenges:
- Data limitations restrict current index computation (e.g., insufficient sex-disaggregated data).
- The analysis was hindered by a binary-only gender perspective, lack of intersectionality, and reliance on limited data sources (e.g., Gallup surveys, OECD).
- Findings are not time-sensitive and rely heavily on open datasets.
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Policy Implications:
- The MGI, once fully operational, could prioritize addressing gendered mobility gaps and improve data collection.
- Action is needed to enhance sex-disaggregated mobility data and promote collaborations among stakeholders.
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Next Steps:
- Data enhancement to improve geographic coverage and granularity.
- Refinement of indicators and methodological approaches.
- Development of the dashboard and stakeholder engagement for wider applicability.
Core Limitations:
- Insufficient data precludes a fully functional MGI.
- The analysis remains exploratory and is not intended for benchmarking.
Note: This report serves as a foundational step toward creating a robust MGI, highlighting the feasibility of measuring and visualizing gender inequalities in mobility.
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