The Rural Roads Planning and Prioritisation Model for Punjab was a technically demanding infrastructure economics assignment commissioned by DFID/UK Aid — the British government’s development finance and technical assistance programme in Pakistan. Dr. Ghulam Mohey-ud-din contributed as Transport Economist on this GBP 60,000, four-month engagement, leading the development of the economic analytical framework that underpins the model’s scoring and investment prioritisation logic for Punjab’s rural road network.
Challenge and Context
Punjab’s rural road network — spanning tens of thousands of kilometres across 36 districts — was chronically underinvested, with maintenance and upgrade decisions driven largely by political considerations rather than technical or economic evidence. The consequences were significant: farmers in high-potential agricultural zones faced prohibitive transport costs that eroded market returns; rural communities remained poorly connected to district markets, schools, and health facilities; and public infrastructure spending failed to maximise poverty reduction impact. DFID required a rigorous, transparent, and operationally practical prioritisation model that could channel rural road infrastructure investments toward corridors with the highest potential economic and social impact — and that could be embedded within government planning systems for sustained use.
Economic Framework and Methodology
The rural roads prioritisation model’s economic component drew on spatial analysis of Punjab’s agricultural production zones, identifying the highest-value agricultural output areas and the road corridors that constrain market access from these zones. Market access modelling estimated the economic value of improved connectivity between production areas and consumption markets, using transport cost functions calibrated to Punjab’s road types, vehicle loading profiles, and commodity price differentials. Poverty mapping was integrated to weight economic impact scores by population vulnerability — ensuring that road investments in poor, underserved communities received an appropriate priority uplift. Transport cost savings analysis quantified the direct economic gains from road quality improvements across a representative sample of corridor types. These economic benefit indicators were then integrated into a composite scoring framework alongside engineering assessments, network connectivity factors, and road condition data.
Key Deliverables
- Economic Framework for Rural Road Prioritisation — market access, poverty weighting, and transport cost analysis
- Market Access and Agricultural Connectivity Analysis — spatial mapping of high-value production-market corridors
- Poverty-Weighted Impact Indicators for Road Investment — integrating equity into prioritisation
- Integrated Prioritisation Model — GIS-enabled composite scoring framework for provincial use
- Technical Manual for Punjab Communication and Works Department operational use
Outcomes and Impact
The Rural Roads Planning and Prioritisation Model delivered a transparent, evidence-based investment prioritisation instrument that provided Punjab’s road planning agencies with a technically defensible methodology for allocating rural infrastructure budgets. The model improved the analytical basis for DFID programme investments, supported the provincial government’s rural infrastructure strategy, and demonstrated how spatial-economic analysis can rationalise rural infrastructure decision-making at provincial scale. This project reflects Dr. Mohey-ud-din’s expertise in transport economics, rural infrastructure planning, and GIS-based spatial analysis applied to development investment decisions.