Qualitative Surveys of Perception

Understanding how people experience places

A qualitative survey investigates descriptions, opinions and judgements. It helps geographers understand what a place means to people, rather than simply measuring its physical features. A traffic count can establish how many vehicles pass a location; a survey can explore whether pedestrians feel safe there and why.

Perception is the way someone understands or judges something. People can experience the same location differently because of their knowledge, past experiences and reasons for being there. These differences are useful evidence, not necessarily mistakes. However, a perception is not automatically proof of a physical condition: feeling that a river is unlikely to flood does not establish its actual flood risk.

Qualitative data include spoken explanations, written comments, field sketches and photographs. A questionnaire can also collect quantitative data through numerical ratings or fixed-response questions. Using both allows an enquiry to identify patterns and explore the reasons behind them.

Turning a geographical issue into an enquiry

Begin with a focused question that identifies the place, issue and people whose views matter. Suitable enquiries include:

• How do people value a distinctive river or coastal landscape?
• How do perceptions of environmental quality differ between urban and rural locations?
• How do residents perceive flood risk or climate change?
• How do visitors and local residents perceive a honeypot site differently?

For a landscape enquiry, ask which features people value and why. An open question such as ‘Which features of this coastline matter most to you?’ allows respondents to identify their own priorities. A follow-up question can explore how they think coastal defences or a proposed development would affect the landscape.

For flood risk, separate awareness from concern. Someone might know that flooding is possible but feel well protected. Questions about awareness of risk, previous experience and confidence in flood prevention can reveal these distinctions. Similarly, a climate-change survey can investigate people's concerns and explanations without treating their answers as measurements of climate change itself.

Designing questions that reveal both patterns and reasons

Different question types do different jobs:

A bipolar scale places opposite descriptions at either end. For example, a respondent might rate the appearance of a place from −3, very unattractive, through 0, neutral, to +3, very attractive. The labels explain what the numbers mean. This differs from a Likert scale, which records agreement with a statement.

Keep wording clear and neutral. ‘What do you think about visitor numbers here?’ allows positive and negative responses. ‘How badly are tourists damaging this place?’ assumes damage and encourages a negative answer. Ask about one issue at a time: a person might find a place attractive but unsafe, so combining those judgements in one question would be confusing.

Test the questionnaire on a small number of people before the main survey. This pilot checks whether the wording and response options are understood. Revise unclear questions, then keep the final wording consistent so that answers can be compared fairly. A questionnaire gathers responses efficiently; a longer interview allows follow-up questions and deeper explanations, but takes more time.

Choosing whose views to collect

A sample is necessary because it is usually impractical to question everyone. Its usefulness depends on who is included, not just how many people answer.

Systematic sampling selects people at a regular interval, such as every fifth person passing a survey point. It is straightforward and reduces the temptation to approach only people who look friendly, but one location or time may still exclude important groups.

Random sampling gives each person in the sampling population an equal chance of selection. It reduces deliberate selection bias, although a small random sample may still fail to represent some groups.

Stratified sampling divides the population into relevant groups and samples them in proportion to their share of the population. It requires reliable information about those proportions. If the purpose is specifically to compare residents and visitors, collecting similar-sized samples from each can make the comparison clearer, but those samples should not automatically be treated as representing their proportions in the wider population.

Survey at appropriate locations and times. Sampling only outside a tourist attraction may miss residents who avoid the busiest area. Record where and when responses were collected and any refusals, because these help explain limitations later.

Assessing environmental quality and feelings about locations

An environmental quality survey assesses indicators such as litter, noise, green space and building condition. Investigators can score each indicator using a sliding or bipolar scale. Agree the meaning of the scores before starting and use the same criteria at each site. Several observers can score independently and compare their judgements, or agree a score after discussion.

These surveys produce numerical scores, but the scores remain subjective. Two people may judge the same noise level differently. An observer's environmental quality score is also not a substitute for asking members of the public how they experience the location.

An emotional map connects perceptions to places. Give participants a base map with identifiable locations, ask them to mark where they feel comfortable, worried or otherwise affected, and record a short explanation. Use a clear key so that colours and symbols have consistent meanings. Clusters of similar responses can reveal shared concerns; contrasting responses can show that the same space serves different people differently.

Annotated photographs and field sketches add context. Label relevant features and record the location, date and viewing direction. For a traffic-calming enquiry, for example, annotations can connect a respondent's explanation to crossings, road layout or pedestrian space. Obtain permission before photographing identifiable people.

Comparing perceptions at a honeypot site

A honeypot site attracts concentrated visitor numbers. It might be a natural environment, such as sand dunes or moorland, or a heritage attraction such as Stonehenge or Blists Hill Victorian Town at Ironbridge.

An enquiry could ask: ‘How do residents and visitors perceive the impacts of visitor pressure?’ Use the same core questions for both groups. Ask about opportunities as well as threats, including their views of litter, trampling, noise, facilities and visitor management. A Likert statement about how well visitors are managed can be followed by ‘Why did you choose that response?’

Record photographs and map management features such as car parks, information boards, signs and public toilets. These help you interpret comments about how visitors move through and use the site. Visitor-number information and published management strategies provide secondary evidence against which perceptions can be considered.

Suppose visitors describe a site as enjoyable, while residents complain about noise. These responses need not contradict each other: the groups may use the site at different times or experience different parts of it. Compare their explanations before deciding what the difference means. Do not assume in advance that either group will hold a particular view.

Working safely and respectfully

Follow the agreed fieldwork risk assessment, work with others and stay in approved public locations. Keep clear of roads, river edges and unsafe coastal areas. Do not obstruct paths or approach people where stopping would be unsafe.

Introduce the enquiry, explain that participation is voluntary and accept refusals politely. Avoid collecting names or unnecessary personal details. Questions about flooding or past damage may be sensitive, so allow respondents to skip them. Record responses accurately rather than replacing them with what you expected to hear.

Data collection is complete when the planned sites, times and participant groups have been covered as far as safely possible, responses have been recorded clearly and any missing coverage has been documented. Do not continue simply to obtain answers that support your expectations.

Interpreting results and evaluating the enquiry

First separate responses into relevant groups and locations. Show the frequencies of closed or scale responses using a table or bar chart. For open answers, identify recurring themes, such as noise, appearance, safety or facilities. A response may contain more than one theme. Short anonymous quotations preserve detail that a count alone would lose.

Build the conclusion from both the pattern and its explanation. For example, a greater proportion of one group selecting negative ratings becomes more meaningful when their comments identify a particular concern. Use photographs, environmental quality scores and secondary evidence to check whether different forms of evidence support or complicate the interpretation.

Qualitative surveys reveal meanings and motivations that measurements alone cannot provide. However, small or unrepresentative samples, leading questions, refusals and inconsistent interpretation can weaken conclusions. Open answers are also time-consuming to analyse and difficult to repeat exactly.

Evaluate each limitation through its effect on the enquiry. Surveying on one quiet weekday may not capture perceptions during a busy weekend; repeating the survey at contrasting times would broaden coverage. Clear scale labels improve consistency, while open follow-up questions retain explanations. A justified conclusion answers the enquiry but acknowledges whose views were collected and how far those findings can reasonably be generalised.

What qualitative surveys reveal

• Investigate perceptions, values, experiences and explanations.
• Applications: distinctive river/coastal landscapes; urban/rural environmental quality; flood risk or climate change; resident/visitor views of honeypot sites.
• Perceived conditions or risks are not the same as measured conditions or risks.

Match the method to the purpose

• Open questions: detailed reasons; slower to analyse.
• Closed questions: quick comparisons; limited explanation.
• Likert scale: agreement with a statement.