Cities in low and middle-income countries (LMICs) often have inadequate transport systems which fail to enable safe, affordable and efficient travel. At the same time it is common for local transport authorities to lack the resources and capacity to plan and regulate the sector.
Good availability of relevant information contributes to the planning and implementation of successful development programmes, but authorities’ budgets often don’t meet the requirements for this level of data collection. This presents a vicious cycle in which a data deficit makes it difficult to plan interventions and secure additional funding, but without this funding they do not have the capacity to collect the data.
In this report we present a computer-vision-based data collection tool that seeks to address this issue by reducing the cost and complexity of data collection, with a focus on data that can be used in the development of city-wide transport strategies or Sustainable Urban Mobility Plans (SUMPs).
