Geographical skills · GCSE Geography
Urban fieldwork methods
GCSE Geography urban-enquiry skills: environmental quality scores, pedestrian counts, land-use mapping and questionnaires — how to collect human data that can actually test a hypothesis about a UK high street or CBD.
If the question is “does quality fall from the CBD?”, your clipboard must count people, score places, map uses, and ask humans — not describe your lunch.
The important bits
What you need to know
- 1
A human enquiry needs a measurable question: “EQS declines with distance from the peak land-value intersection” or “pedestrian counts are higher on the precinct than on the ring road”. If you cannot put it on a graph, it is not an enquiry.
- 2
Environmental quality surveys (EQS): a bipolar scale (e.g. −2 to +2 or 1 to 5) on litter, traffic noise, greenery, building condition, safety. Several sites along a transect. Two students score independently to check reliability. Subjectivity is the known flaw — say so.
- 3
Pedestrian counts: a timed tally (e.g. 5 minutes) at a stated point, in a stated direction, at a stated time. Repeat. A Saturday 14:00 precinct count is not Monday 08:00. Time of day is a control variable, not a surprise.
- 4
Land-use mapping: Goad-style frontage categories (retail, residential, public, derelict, office). A choropleth or colour map plus a transect of use versus distance. Photographs as annotated evidence, not as a holiday album.
- 5
Questionnaires: closed questions for graphs, one open question for quality. Sampling rule (every fifth person, or stratified by age) written down. Ethics: consent, no under-16s without protocol, do not block a doorway. Ten mates is not a sample of the town.
- 6
Secondary data: Census, crime maps, house prices, Google satellite, council footfall. Use them to check whether your Tuesday matches the place. Both primary and secondary can be biased.
- 7
Presentation: located bars for counts, isoline or choropleth for EQS, pie or divided bar for land use, scatter for EQS versus distance. Wrong graph (pie for a transect) is a classic miss.
- 8
Evaluation: subjectivity of EQS, weather, a closed shop, who refused the survey, sample size, one time-slice. Propose a weekday/Saturday pair, more scorers, GIS pins. Link each flaw to the conclusion.
Quotations worth analysing
Short evidence. Real method.
“An EQS without a rubric is just a mood.”
Publish the criteria (litter, noise, greenery). Double-score. Then admit remaining subjectivity. That is method, not vibes.
“A five-minute pedestrian count is a photograph of a flow, not the week.”
State clock time, day, weather, and direction. Propose repeats. Reliability lives here.
“Questionnaires sample the people who stopped, not the town.”
Busy commuters refuse; shoppers on Saturday dominate. Name the missing group in evaluation.
Go deeper
EQS: make the subjective countable
Write a bipolar scale before you leave school: litter, chewing gum, traffic noise, facade quality, graffiti, trees, perceived safety. Train two scorers on a practice photo so “−1” means the same thing. At each site, stand in a stated place, score independently, then average. Plot scores against distance from a CBD peak or a regenerated quay. The method is still subjective — different ages fear different streets — but it is better than “this bit felt rough”. Reliability: two scorers, not one. Accuracy is the wrong word for an opinion scale; talk about consistency and bias instead. Improvement: more sites, a sound-meter for noise, a litter count as a harder number beside the EQS. Mixing a hard count with a scale is sophisticated, not indecisive.
Go deeper
Pedestrians and land use as a pair
Footfall tests whether a precinct is actually used. Count for a fixed window, both directions or stated direction, several sites, then compare with land use. If the map shows comparison goods and your counts are high, theory holds; if a new supermarket on the edge has stolen the high street, counts will sag — an economic geography result, not a failed day. Do not count from a moving walk. Do not include the same person twice if they pace. Lunch hour versus closing time can invert a pattern; that is why time is in the method table. Land-use categories must be agreed (is a charity shop retail?). A GIS pin or annotated OS extract locates the evidence. Analysis is pattern, anomaly (a closed unit, a market day), then theory (distance-decay, regeneration, doughnut retail).
Go deeper
Questionnaires without a vox-pop
Design fewer than ten questions, mostly closed, piloted so nobody stares. Sampling: systematic every fifth adult, or a stratified quota (age bands). Record refusals — a high refusal rate in suits at 08:30 means you missed commuters. Never claim a sample of 25 is “Bristol”. Use the results to test a hypothesis (“visitors came for the harbour museum, not for clothes”) and triangulate with counts and EQS. Ethics: explain the school, offer withdrawal, avoid sensitive income questions unless the teacher approved a banded tick-box. Evaluation: leading questions, social-desirability bias (“I recycle”), weather that emptied the street. Fix: online follow-up, a second day, a larger n. The enquiry structure still holds: question, method, presentation, analysis, conclusion, evaluation. A street interview is not automatically geography until that spine is visible.
See the idea in action
Hypothesis: environmental quality and pedestrian counts fall with distance from a named market square. Method: systematic EQS every 100 m along two transects, two scorers; 5-minute pedestrian counts at each site at 14:00; land-use frontage map; questionnaire every fifth adult, n = 40, Saturday. Result: EQS and counts decline, anomaly at a supermarket car park (high counts, low EQS). Evaluation: Saturday bias, subjective scores, no evening repeat. Improvement: weekday pair, sound meter, GIS-located bars.
Exam technique
Turn knowledge into marks
Learn your actual high street’s name. Pack EQS, counts, land use, questionnaire. Evaluation is time of day, who refused, and subjectivity — each linked to how the conclusion might change.
Common mistakes
Do not give these marks away
- 01
Describing the town instead of testing a hypothesis with numbers.
- 02
Calling ten friends a random questionnaire sample.
- 03
Drawing a pie chart for change along a transect, or forgetting to state the time of a pedestrian count.
What is the main limitation of an environmental quality survey (EQS)?
AIt can only be used in rainforests
BScores are partly subjective, so different people may rate the same street differently unless a clear rubric and double-scoring are used
CIt produces no data that can be mapped
DIt is illegal to look at litter in a CBD
Show the answer
Scores are partly subjective, so different people may rate the same street differently unless a clear rubric and double-scoring are used. EQS is still useful if criteria are published and scorers trained. The limitation belongs in evaluation, with a fix — not as a reason to skip the method.
Quick questions
If this is the bit you searched
What is an EQS in geography fieldwork?
An environmental quality survey: a scored checklist of litter, noise, greenery, building condition and similar, used to compare sites along a transect.
How do I count pedestrians properly?
Fix a point, a duration, a direction and a clock time. Repeat. State the day. Compare sites. Do not treat one five-minute tally as the weekly flow.
Why map land use?
To test whether footfall and quality match the economic functions of the street — retail core, frame, or derelict fringe — and to spot regeneration or decline.
How can I make questionnaires less biased?
Use a sampling rule, closed questions, a pilot, a decent n, and more than one time of day. Admit who refused. Do not survey only your friends.