What analytical frameworks help quantify pedestrian safety hazards and crime statistics down to the hyper local neighborhood level before committing to a relocation
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What analytical frameworks help quantify pedestrian safety hazards and crime statistics down to the hyper local neighborhood level before committing to a relocation
3 real searches · 1 real-search pass
FHWA pedestrian safety analysis systemic approach pedestrian level of traffic stress methodology crash data exposureGoogle ↗
OBSERVED
FBI Crime Data Explorer NIBRS data limitations geospatial crime data local police open dataGoogle ↗
OBSERVED
Baltimore open data crime incidents pedestrian crashes crash data map officialGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
FHWA pedestrian safety analysis systemic approach pedestrian level of traffic stress methodology crash data exposure Google ↗
FBI Crime Data Explorer NIBRS data limitations geospatial crime data local police open data Google ↗
Baltimore open data crime incidents pedestrian crashes crash data map official Google ↗
- Explore FBI crime data · cde.ucr.cjis.gov
- NIBRS · fbi.gov
- Access FARS data · nhtsa.gov
- NCHRP Report 893: Systemic Pedestrian Safety Analysis · highways.dot.gov
- Chapter 3. Exposure Analysis at Areawide Levels · highways.dot.gov
- Data/Surveillance · nhtsa.gov
- Executive Summary · highways.dot.gov
- Systemic Safety · highways.fhwa.dot.gov
- Explore Census data · data.census.gov
- Explore street-level mapping · openstreetmap.org
- Open Data · baltimorepolice.org
- Crime Stats · baltimorepolice.org
- Public Crime Map · arcgisportal.baltimorepolice.org
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
FHWA pedestrian safety analysis systemic approach pedestrian level of traffic stress methodology crash data exposure OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
FBI Crime Data Explorer NIBRS data limitations geospatial crime data local police open data OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Baltimore open data crime incidents pedestrian crashes crash data map official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |