Regeneration: success for whom and compared with what?

Evaluate objectives, counterfactual evidence, displacement and contested success in urban and rural places.

A-level study: check your qualification and chosen options below.

Retained brick industrial buildings, housing and a public route line a waterfront.

Turn objectives into criteria

Regeneration attempts to change economic, social or environmental conditions. Stakeholders can disagree over what should change and how success should be judged.

Distinguish project outputs such as buildings from outcomes such as access or affordable housing. Boundaries and baseline dates shape the assessment.

Worked example

A fictional scheme completes 500 homes. To assess affordability, examine prices, rents, incomes, tenure and access; completion alone cannot answer that question.

Common mistake: A developer’s stated aim is not independent evidence of success.

Source evaluation · Gini coefficient

Ask what would have happened otherwise

Before-and-after change includes wider economic shifts and selection as well as the project. A counterfactual comparison estimates change without the intervention under justified assumptions.

Compare places carefully: unsuitable comparison areas can differ in trends or exposure. Qualitative accounts can reveal processes that aggregate data miss.

Worked example

Fictional employment rises 12 points in the project area and 7 in a comparison area. The difference in changes is 5 points, not proof of causation without credible comparability.

Common mistake: A numerical comparison does not remove all confounding.

Percentage change · Source evaluation

Evaluate displacement and lasting outcomes

Rising values and investment can accompany displacement of residents or firms. Improved averages may partly reflect who moves in and who leaves.

Assess durability, maintenance and effects beyond the boundary. Urban and rural regeneration involve different service, housing and employment conditions.

Worked example

Fictional median income rises while the share of original residents falls from 80% to 50%. The data prompt a population-composition question rather than proving original residents gained income.

Common mistake: A better area average cannot establish benefit to the same people.

Sampling methods · Gini coefficient · Source evaluation

Try a different resource

Land-use maps

Classifications describe the mapped dominant land use in equal-area cells. They do not describe everyone who lives or works there.

Scroll the diagram sideways to see the full resource.

Fictional land-use gridA1: Housing; A2: Green space; A3: Housing; A4: Housing; B1: Transport; B2: Industry; B3: Green space; B4: Industry; C1: Green space; C2: Transport; C3: Industry; C4: Housing; D1: Housing; D2: Green space; D3: Green space; D4: Industry. Every cell is 1 km².AHGHHBTIGICGTIHDHGGI1234H: HousingI: IndustryG: Green spaceT: TransportEach cell covers 1 km². Cells are equal in area.
CellLand useArea (km²)
A1Housing1
A2Green space1
A3Housing1
A4Housing1
B1Transport1
B2Industry1
B3Green space1
B4Industry1
C1Green space1
C2Transport1
C3Industry1
C4Housing1
D1Housing1
D2Green space1
D3Green space1
D4Industry1
Fictional land-use grid. Original fictional resource; not an official map or real dataset.
Resource description

A1: Housing; A2: Green space; A3: Housing; A4: Housing; B1: Transport; B2: Industry; B3: Green space; B4: Industry; C1: Green space; C2: Transport; C3: Industry; C4: Housing; D1: Housing; D2: Green space; D3: Green space; D4: Industry. Every cell is 1 km².

1. What is the mapped green-space area in km²?

2. What percentage of the mapped area is housing?

3. Which inference needs further evidence?

Choose an answer

The maps and data are fictional. These exercises do not count as required fieldwork.

Write an explanation

Check your answer
  • Define stakeholder criteria and a project boundary.
  • Compare outputs with outcomes.
  • Examine attribution and displacement.
  • Judge social, environmental and durable effects alongside economic change.

Practise and review a written answer

Case studies

Olympic Park regeneration in East London · Changing land use along Glasgow’s Clyde · Bristol’s clean air zone

These pages provide selected evidence. Check the whole case requirement with your teacher.

Read further

Evaluating regeneration · Sampling and representativeness · Association and geographical explanations

Course links

AQA A-level Geography · Pearson Edexcel A-level Geography · OCR A-level Geography · Eduqas A-level Geography

Next topics

Changing places: meaning, evidence and connections · Urban growth and change

Selected teaching sequence with fictional worked data. The linked case records supply bounded evidence; they do not satisfy every course case requirement.

Worked numerical examples are fictional unless explicitly attributed. These lessons cover selected parts of the topic; check your course requirements for the rest.