3 ms·

How safe does this street "look" to a Human? NOT How safe is this street? Very important distinction - I would suggest changing the name of the project to "P

How safe does this street "look" to a Human? NOT How safe is this street? Very important distinction - I would suggest changing the name of the project to "PerceivedStreetScore". What is now needed is actually part 2 of this project - one that pull records from City/County/Federal crime stats, overlays them with a Map and then actually produces a "ActualCrimeScore" for each of these highlighted streets. Then compare the two scores and write an (excellent) definitive paper titled "Factors that influence Human perceptions of safety - Lessons for City Planners"

tetrep 12y ago
Don't forget to factor in time as well, it would be accurate to judge a high crime street as safe during the day if all of the crime happened during the night.
- Rolpa 12y ago
  Not to mention that one street may very well be safer for one individual compared to another depending on any number of variant factors - race, gender, build, etc.
brownbat 12y ago
I was expecting a traffic fatality map, something like this: http://riskyroads.org/ http://riskyroads.org/
icommenttoo 12y ago
If you look at the 2013 paper from this same group you will find that this is exactly what they did (http://pulse.media.mit.edu/papers/ http://pulse.media.mit.edu/papers/). Even further, they used geospatial statistics techniques to control for the effects of the income, area, and population in an area, and hence, developed a model that incorporated not only perception, but also demographics, when predicting the location of homicides.
- Houshalter 12y ago
  From the site's FAQ: >StreetScore is a machine learning algorithm that predicts how safe the image of a street looks to a human observer. We trained StreetScore to predict perceived safety using a 'training dataset' consisting of 3,000 street views from New York and Boston and their rankings for perceived safety obtained from Place Pulse — a crowdsourced survey.

tetrep 12y ago

Don't forget to factor in time as well, it would be accurate to judge a high crime street as safe during the day if all of the crime happened during the night.

Rolpa 12y ago
Not to mention that one street may very well be safer for one individual compared to another depending on any number of variant factors - race, gender, build, etc.

brownbat 12y ago

I was expecting a traffic fatality map, something like this: http://riskyroads.org/ http://riskyroads.org/

icommenttoo 12y ago

If you look at the 2013 paper from this same group you will find that this is exactly what they did (http://pulse.media.mit.edu/papers/ http://pulse.media.mit.edu/papers/). Even further, they used geospatial statistics techniques to control for the effects of the income, area, and population in an area, and hence, developed a model that incorporated not only perception, but also demographics, when predicting the location of homicides.

Houshalter 12y ago
From the site's FAQ: >StreetScore is a machine learning algorithm that predicts how safe the image of a street looks to a human observer. We trained StreetScore to predict perceived safety using a 'training dataset' consisting of 3,000 street views from New York and Boston and their rankings for perceived safety obtained from Place Pulse — a crowdsourced survey.