Indicator Definition
| Indicator Name | WFC 1.13 Proportion of people reporting reduced travel time to markets, schools, and health centers |
|---|---|
| Indicator Definition | This indicator measures the proportion of people who report reduced travel time to essential services (markets, schools, health centers) after project interventions in the project area. This includes both projects where the construction or rehabilitation of trail bridges, tracks, or roads have been managed by Helvetas or indirectly by supported institutions. |
| Indicator Level | Outcome |
Disaggregation
| Disaggregation |
|
|---|---|
| Measuring Unit | People living in the project intervention area who use the improved infrastructure to access markets, schools, or health centers. |
Kobo Questionnaires
The column "final_accessibility_score" indicates the final score for respondents
Examples of Actvities
Construction of new trail bridges and rehabilitation of existing ones to improve access across rivers or valleys.
Building or rehabilitating roads and tracks that connect remote communities to essential services.
Establishing and supporting maintenance mechanisms to ensure the sustainability of constructed infrastructure.
Coordination with local authorities to integrate newly constructed or rehabilitated roads and bridges into existing transportation networks.
Capacity building and technical support to institutions responsible for infrastructure development.
Community mobilization and engagement to support infrastructure maintenance.
Data Collection
| Data Source and Means of Verification |
|
|---|---|
| Measuring Frecuency | At least endline |
| Data Collection Guidance | Household Surveys: Conduct surveys with a sample of people living in the project area at the end (endline) of the project and ask people directly whether their travel times have reduced as a result of the project. |
| Common Challenges | Challenge: Ensuring accurate self-reported data on travel times. Approach: Validate data using GPS or GIS methods. Challenge: Lack of baseline data collected prior to the intervention will make it difficult to measure access changes afterwards. In such cases, projects have to rely on beneficiaries’ recall, which is not always reliable. Approach: Possible approaches to improve accuracy of baseline measure: Use GIS or remote sensing to estimate pre-project travel times based on terrain and infrastructure prior to intervention or ensure clear communication during surveys to minimize recall bias, focusing on specific reference points or timeframes (e.g., "travel time two years ago").
|
How to report
Calculate the proportion by counting the number of people who report that, as a result of the project, their travel time to markets, schools, OR health centers is now reduced compared to before AND they can be reached by less than one hour on foot. Then, divide this number by the total number of people who responded to the survey.
Report the numerator and the denominator. In that way the proportions can be aggregated across projects.
This indicator is collected at the end of the intervention, hence it may not be reported on every year.
Numerator: The number of people who report that, as a result of the project, their travel time to markets, schools, and health centers has been reduced and is now less than one hour on foot.
Denominator: Total number of people who responded to the survey.