Transcript

00:01So building on that concept of demographic maps being queryable...

00:06...one of the developers at the Esri sent me a screen shot of something he created...

00:10...where he applied that notion of making the demographic information visible.

00:17He applied it in the context of this emergency response map.

00:21And this is a screen shot, so you can see me interact with a bitmap file for a minute.

00:28But what we've got here is a screenshot of an emergency response application he built...

00:34...where a plume has been released right here...

00:36...perhaps some type of gas leak that's unpleasant or perhaps even deadly.

00:43It's been carried aloft by the wind in this direction or modeled to be likely heading...

00:49...in this direction, so the GIS has already said...

00:51..."look, here is the likely plume footprint of this gas release here."

00:56One thing you notice right away is three police stations and three hospitals...

00:59...are affected by this, and in addition, all these roads are going to be affected...

01:04...so we'll probably want to set up roadblocks in certain locations to cut off traffic access...

01:09...and to minimize further risk.

01:10But for the people who live and work in these areas, we need to know something about...

01:16...them in order to help shape our emergency response.

01:20And so to do that, what this developer did is we shipped him some data and he wrote the...

01:25...queries on the back end to make this available...

01:28...because he wanted certain content available to the emergency responder.

01:32In this case, we want to be able to click on any neighborhood and see...

01:38...some key information, but rather than present that in sort of a traditional...

01:42...table format; we wanted to present it in plain English.

01:46After all, you're in an emergency response situation; you need clear communication...

01:50...about what's going on here.

01:52One way to control that conversation is to express this in plain English and say...

01:58...in this neighborhood, that's highlighted in yellow, there's 498 people...

02:02...94 percent live households, 6 percent live in group quarters.

02:08Almost half of the residents do not own a vehicle, and that's significant depending on...

02:15...what the nature of the emergency is and how far you are from safety.

02:21You may be able to walk out but maybe a vehicle is...

02:23...the only way you can get out of the area quickly.

02:26So half of the people don't own a vehicle -- that's interesting.

02:29In this case, we wrote a rule that said, "highlight this in red if it crosses a certain...

02:34...threshold; 73 percent of the families earn less than $25,000 per year.

02:39And while that may not have much impact at the emergency response phase...

02:45...of an incident, on day two, day three, a week later, a month later...

02:52...the people who live here, their ability to be covered and rebuild or...

02:57...continue to function may be affected by their income.

03:01So it's kind of interesting to know that a lot of people in this area don't have a vehicle...

03:05...and they live near the poverty line or below the poverty line.

03:09So the concentration of those people -- if we can present this information...

03:14...and, in a drill-down sort of fashion, to go neighborhood-by-neighborhood...

03:17...block-by-block almost, and to see what the makeup is...

03:22...you can obviously aggregate that for the entire plume or maybe sketch an area...

03:26... on the map and determine what are the population characteristics as relevant to...

03:34...a particular application, in this case, emergency response.

Copyright 2014 Esri
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ESRI Data - Using Demographics for Emergency Response

This 3 minute 39 second video illustrates the use of demographic data within an emergency response application.

  • Recorded: Apr 28th, 2010
  • Runtime: 03:39
  • Views: 495
  • Published: Jun 21st, 2011
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