CPTED Environmental Design Checklist Checker
Restricted CPTED assessment evidence, not prove crime prevention or safe design. Independently witnessed columns in order: site access/use permissions established, natural surveillance independently assessed, access-control context independently assessed, maintenance/community context reviewed. Known missing and unknown evidence stay distinct; not approval, compliance, readiness, authenticity or safety certification.
Description
CPTED review covers site use, surveillance, access control and maintenance context.
CPTED review covers site use, surveillance, access control and maintenance context.1
A checklist records evidence without certifying that a design prevents crime. Use this tool to record known present, known missing and unknown checklist evidence.
When to use CPTED Environmental Design Checklist Checker
Use this tool to record known present, known missing and unknown checklist evidence. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
How to use CPTED Environmental Design Checklist Checker and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter observedCriterionFlags, criterionKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. Interpret each field using the units, signs and evidence rules below.
- If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedCriterionFlags | Observed criterion flags; binary 0/1 in the order documented below | list of number | Required |
| criterionKnownFlags | Criterion known flags; 1 means known and 0 means unknown; keep the same item order | list of number | Required |
Supply exactly 4 binary criterion flags and matched binary known flags in the listed order. Return witnessed labels where both flags are 1, known missing labels where known=1 and observed=0, and unknown labels wherever known=0, regardless of the placeholder observed flag. No overall diagnosis, pass or approval is inferred.
| Zero-based column | Criterion |
|---|---|
| 0 | site access/use permissions established |
| 1 | natural surveillance independently assessed |
| 2 | access-control context independently assessed |
| 3 | maintenance/community context reviewed |
witnessed={label_i:known_i=1 and observed_i=1}; missing={label_i:known_i=1 and observed_i=0}; unknown={label_i:known_i=0} Apply the field units and exact ordering, boundary and evidence rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result containing the calculation or selected reference fields below | object |
| result.witnessedCriteria | Criterion labels observed present with known evidence | list of string |
| result.knownMissingCriteria | Criterion labels known to be absent | list of values |
| result.unknownCriteria | Criterion labels whose evidence is unknown | list of values |
{
"input": {
"observedCriterionFlags": [
1,
1,
1,
1
],
"criterionKnownFlags": [
1,
1,
1,
1
]
},
"output": {
"result": {
"witnessedCriteria": [
"site access/use permissions established",
"natural surveillance independently assessed",
"access-control context independently assessed",
"maintenance/community context reviewed"
],
"knownMissingCriteria": [],
"unknownCriteria": []
}
}
} Limitations and assumptions
Feature and criterion flags are independent annotations. Unknown evidence remains unknown; matching rules do not establish a diagnosis, cause, prediction or approval.
Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.
Alternative or Complementary methods
Use Defensible Space Eyes On Street Ratio Lookup to examine a related aspect: Defensible-space visibility metrics use specific site and observation definitions.
Use Crime Attractor vs Generator Place Classifier where its separate inputs and scope apply: Crime-generator and crime-attractor concepts describe research evidence about places and activity.
References
Similar or alternative tools
- Defensible Space Eyes On Street Ratio Lookup
Defensible-space visibility metrics use specific site and observation definitions.
- Crime Attractor vs Generator Place Classifier
Crime-generator and crime-attractor concepts describe research evidence about places and activity.