The questions we ask shape the roads we build

Rethinking transport, development and the realities we fail to see

Development does not begin with projects.

It begins with assumptions.

Before governments build roads, design policies, measure poverty, allocate resources or introduce new technologies, they decide what counts as reality.

The questions come first.

The categories come next.

The measurements follow.

The interventions come after.

Every development intervention carries a theory of change, whether it is written in a project document or hidden inside a questionnaire, indicator framework or budget.

It contains assumptions about how change happens.

A problem is identified. An intervention is designed. Resources are invested. Outputs are produced. Outcomes are expected. Progress is measured.

The logic appears straightforward.

Yet every step contains choices.

What problem has been identified?

Whose reality defines that problem?

What causes are considered important?

What solutions become visible?

What forms of change are recognised?

When the questions are incomplete, the solutions can be technically correct and socially misplaced.

A road can be built exactly where engineers planned it. A transport model can calculate demand accurately. A poverty survey can produce precise statistics. A development programme can achieve every indicator.

And yet the intervention can still fail to transform the lives it was intended to improve.

The problem may not be implementation.

The problem may be the reality that was never captured.

This series begins with transport.

But it is not only about transport.

It is about how development knowledge is created.

It is about the assumptions that shape what becomes visible, what becomes measurable and what becomes worthy of investment.

Transport provides the entry point because movement reveals almost everything.

Mobility reveals livelihoods.

Distance reveals inequality.

Access reveals power.

Time reveals whose labour is consumed.

Infrastructure reveals whose realities were considered before decisions were made.

A road is never only a road.

It represents assumptions about whose destinations matter, whose journeys count, whose economic activities are recognised and whose constraints are treated as private problems rather than public responsibilities.

Early in my career, I was part of a team conducting a feasibility study for a rural road project.

Before fieldwork began, I designed a questionnaire to establish baseline conditions.

The purpose was clear.

If the road was improved, we would return later and measure change.

Had travel time reduced?

Had transport costs fallen?

Had access to markets improved?

Had agricultural production increased?

Had household incomes risen?

Had consumption patterns changed?

The questions were logical.

They reflected the dominant theory of change behind many rural infrastructure investments.

A better road would improve mobility.

Improved mobility would increase market access.

Market access would increase production.

Higher production would increase income.

Higher income would increase purchasing power.

Increased purchasing power would improve wellbeing.

The questionnaire was not simply collecting information.

It was carrying a theory about how development happens.

Then the interviews began.

The questions appeared straightforward.

How much sugar does the household consume each month?

How much cooking oil?

How much meat?

How much is spent on transport?

How much is spent on water?

How much is spent on electricity?

How much income does the household earn?

But the responses did not fit the categories.

People described lives organised through seasons rather than months, production rather than purchasing, storage rather than spending, and relationships rather than transactions.

The questionnaire was not failing because people lacked information.

It was revealing that the assumptions behind the questions did not fully capture the realities being studied.

The issue was not whether people had an economy.

The issue was whether the economy being measured was the economy people were living.

That experience changed how I approached research.

It did not lead me to abandon questionnaires.

Questionnaires remain important tools.

But they cannot begin with assumptions about realities they have not yet encountered.

A structured question designed without understanding the context can only reproduce the assumptions built into it.

Before measuring, we must understand.

Before categorising, we must listen.

Before designing interventions, we must know what lives already exist.

Qualitative inquiry is not an alternative to measurement.

It is what makes meaningful measurement possible.

It helps reveal the realities that structured tools may otherwise miss.

The road project became an early lesson in something I would encounter repeatedly throughout my career.

Development interventions are often designed around visible problems.

But visible problems are not always the root causes.

A road may address physical isolation.

But it does not automatically address unequal access to land, markets, information, finance or decision-making power.

A training programme may provide skills.

But it does not automatically change the institutions that determine whose skills are valued.

A policy may recognise a problem.

But it does not automatically change the structures that produced that problem.

The intervention may be well designed.

The deeper question is whether the diagnosis was complete.

The same lesson applies to measurement.

What we measure influences what we value.

What we value influences what we invest in.

What we invest in shapes the futures we create.

A poverty line measures one dimension of poverty.

An income indicator measures one dimension of wellbeing.

A mobility indicator measures one dimension of access.

These measures can be useful.

But they are never neutral.

Every indicator includes some realities and excludes others.

Every model simplifies.

Every category draws boundaries.

The question is not whether we should measure.

The question is whether we understand what our measurements cannot see.

Over time, this question has followed me across different fields.

In transport, it appeared through questions about mobility, gender and access.

In rural development, it appeared through questions about livelihoods, labour and poverty.

In taxation, it appeared through questions about care, contribution and recognition.

In artificial intelligence, it appears through questions about data, bias and automated decision-making.

The context changes.

The underlying challenge remains.

What realities disappear because they do not fit the questions we ask?

Every discipline has its questionnaire.

Some are written on paper.

Others exist as models, indicators, theories, algorithms and institutions.

All illuminate certain realities.

All leave others in shadow.

The challenge is not only to collect better data.

It is to examine the assumptions before accepting the answers. The assumptions are not neutral. They serve interests. They determine whose reality becomes the basis for intervention and whose reality remains invisible.

Because the worlds we build are shaped by the realities we choose to recognise.

And sometimes the most important discovery in research is not finding the answer.

It is realising that we have been asking the wrong question.