A simple framework to measure impact and success of infrastructure projects - GIC

A simple framework to measure impact and success of infrastructure projects
February 23, 2024

Infrastructure projects provide essential services and other benefits to people from all walks of life, and play an integral role in the welfare and economic stability of a nation. However, it’s often difficult for developers and clients to measure how impactful and successful a project will be once completed.

“While every precaution is taken in the planning and construction phases to ensure the structure’s long-term durability and utility, the only true measure of a project’s capabilities is how people use it every day,” explains Olebogeng Manhe, Chairman of the Gap Infrastructure Corporation.

“There is value in understanding a project’s impact and success once completed. Post-analyses help determine whether what we deliver is of value and meets the needs of the client, and especially the communities we serve. It further identifies potential future issues that the system may experience, what the long-term maintenance requirements will be, what additions need to be made, and how developers can improve upon their processes in future projects.”

Post-project analyses are systematic and comprehensive assessments of the project’s performance, outcomes, and impact after its completion. These assessments can be conducted at different levels and stages, depending on scope and evaluation.

For example, some analyses may focus on the technical aspects of the project, such as the design, construction, operation, and maintenance of the infrastructure. Others may focus on the economic, social, environmental, or institutional aspects of the project, such as the cost-benefit ratio, stakeholder satisfaction, environmental impact, or governance and accountability.

Measuring impact and success

There is no one-size-fits-all method for measuring the impact and success of infrastructure projects. Different projects may have different objectives, characteristics, contexts, and challenges that require different approaches and indicators. However, some general steps and principles can guide the process of developing and applying appropriate methods for measuring impact and success.

  • First, it is important to define clear and relevant measures of success that reflect the project’s objectives and value. These measurements should be aligned with the expectations and interests of the stakeholders involved. For example, a public sector client may be more concerned with the social and environmental benefits of an infrastructure project than a private sector contractor who is more focused on financial returns.
  • Second, it is essential to collect reliable and valid data to support the measurement of success. This may involve using various sources and methods of data collection, such as surveys, interviews, observations, records, or sensors. Some data may be quantitative, such as numbers or statistics. Others may be qualitative, such as opinions or stories. The data collection should be planned and conducted in a systematic and ethical manner.
  • Third, data must be analysed and interpreted to draw meaningful conclusions and recommendations. This may involve using various tools and techniques of data analysis, such as descriptive statistics, inferential statistics, regression analyses, or content analyses. The analysis should be rigorous and transparent, with clear assumptions, limitations, and declaration of uncertainties.

There are a few methods that can help both infrastructure developers and their clients measure the impact and success of a project.

A fault-tree analysis is a graphical technique that identifies and analyses possible causes that may lead to an undesired event once the infrastructure is in use. The method uses logic symbols and rules to represent the relationships between events, and to calculate their probabilities. A fault-tree analysis can be drawn up directly after a project’s completion, using simulated data to determine what future issues may come to pass.

Georeferenced data, in combination with demand peak indicators, reflect the highest level of demand for or usage of a completed project, using real-time geographic location data. This analysis can be used to, for example, monitor peak traffic periods and high traffic loads to estimate how well a road or bridge will function under certain circumstances, what future maintenance requirements will be, and when said road or bridge will need large-scale reparations or replacement.

Similar to demand peak indicators, a demand forecast analysis can be used to estimate future demand for an infrastructure project based on various factors such as population growth, local income level changes, user behaviour, and other trends that would affect how people will use the infrastructure.

Finally, an accessibility analysis measures how accessible infrastructure is, whether the service is easily or conveniently reachable or available to users, whether there are any gaps or disparities in access coverage, and whether there are opportunities or challenges to be improved upon.

“By using some of these methods to measure the success of our projects, project developers can improve the quality and functionality of future projects, enhance decision-making processes, optimise resource allocation, and increase client and user satisfaction. Through being more aware of our successes and failures, we’re able to improve and implement enhanced techniques with every new project, ensuring that South Africa’s infrastructure continues to improve over time,” says Manhe

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