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207958aa5ac1c42448070dbab3f2dd87?d=mm Adam Richeimer

Proposed Nov. 9, 2017

Fa96e64784cf64e3ee6ca518382812d8
How long does it take for an ambulance to arrive at a 911 call? How long do people wait on hold when calling 311? How long does it take the city to approve a building permit? How long do people wait in line at a local LAPD station? This would be a website to answer those questions. Every department would be required to collect data whenever people are waiting. That includes every queue people wait in at an office, every phone numbers holding queue, every mailed in applications response time. All that data would be exposed on a publically accessible and easy to navigate website. It will be possible to see average waiting time, median waiting time, max waiting time, min waiting time, 75th, 90th, 95th, and 99th percentile waiting time. It should be possible to break down the time by date, week, month, and year, as well as day of week and time of day. In addition all the raw data will be available via data.lacity.org for researchers. With this system, we'll be able to answer question, is our government slowing down the economy by being slow to issue permits?Are lives being lost by slow emergency responses. What areas of the city get the worst service? When is service bad? There would be a $1 tax added to permit applications to pay to collect this data and to display it. We'll be able to use this to hold our government responsible to provide good services.

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Nicholas Greif (11/15/2017)
Is this the kind of dashboard you are looking for: http://dashboard.lamayor.org

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Adam Richeimer (11/23/2017)
That's a start. But, not nearly detailed enough. It should cover permit processing times, waiting times in lines, etc.

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Noah Mercer (11/14/2017)
Regarding making this data available for researchers and breaking it down: It would be useful if wait times could be attached to a description of the event in data.lacity.org. That would allow you to do things like look at 911 response times by zip code, building permit approval by anticipated development cost/# of units/etc. (Perhaps that's what you meant by 'all the raw data'.)

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