May 23rd, 2010
We’re thrilled to announce that CoSstar Group, the leading provider of commercial real estate research and information services, has implemented Urban Mapping’s hosted mapping services. In record time, CoStar leveraged Mapfluence to incorporate public transportation data into their web-based platform. The rapid development time and ease of implementation are further evidence that hosted mapping services are here to stay.
In the screen shot below, CoStar used Bing Maps for a base map API and Mapfluence elegantly renders cartographically-pleasing transit lines, stations and detailed attributes on a map for the Washington DC area. Urban Mapping’s mass transit data is available for fixed rail (subway, commuter, light, long haul) across North America and several European countries. The difficulty in creating a visually satisfying solution that can be created algorithmically cannot be overstated–rail systems are unique and each one has its own quirks. We’ve done a great deal of tweaking to best represent rail maps in the way that locals expect them to look–an even more refined version is in the works and will be available very soon.

In addition to visually delineating transit lines/stations on a map, CoStar incorporates UMI’s mass transit data into the property search function. As the screen shot below indicates, a subscriber can create a transit-based time or distance constraint. This allows for would-be tenants to search for available property that is (say) only within a five minute walk of a commuter rail station.

In this property profile view, the individual listing is annotated with proximity to nearby public transportation and airport info. Our Mass Transit Proximity API easily allows customers to code property listings (or any location) with proximity to train stations.

Tags: bing, customers, mapfluence, maps, mass transit
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May 19th, 2010
Recent news item about BlockChalk going hyperlocal with UMI’s neighborhood API for ease of use and rapid deployment.
Tags: customers, neighborhoods
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September 10th, 2009
With a recent neighborhood database update to customers this week, we crossed over 91,000 neighborhoods in the US, Canada and 14 European countries. We continue to research and refine, incorporating user feedback along the way. A coverage map of the continental US:

We’ve also added a few customers. Those we’re currently permitted to discuss include kayak, GIG.fm and CatchMe.com, but many more in tow.
Tags: customers, neighborhood database
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October 20th, 2008
Today we’re thrilled to announce that Rogers, the uber-large Canadian telco, has launched Zoocasa, a home researching and buying site. We’re thrilled with the’ve included UMI’s search-by-neigbhorhood functionality as this makes finding a su casa ever so easy!
The official news

Tags: customers, neighborhood data
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October 23rd, 2007

Today, stealth startup Pelago pulls off the covers and unveils its web/mobile application that blends the social with the local (on the mobile, of course). Some call it Facebook meets MySpace, and others have described it as the tip of location-based services. UMI is thrilled to be a critical component of the product as neighborhoods provide the granularity and context that matter in complex urban spaces, and Pelago embraces this. Don’t take our word for it, give Whrrl a spin!
Tags: customers, local search, mobile applications, neighborhood database, pressworthy, web2.0
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March 15th, 2007
ZipLocal, Canada’s second-largest local directory, has licensed Urban Mapping’s web services for ZipLocal’s newly-introduced user-focused local search directory.

Tags: clients, customers, geodata, neighborhoods, pressworthy, services, web2.0
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September 13th, 2006
YellowPages.com, the Internet yellow pages (IYP) platform of at&t, has licensed Urban Mapping’s neighborhood database for use in various YPC properties.

Tags: clients, customers, database, neighborhoods, pressworthy
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September 7th, 2006
SuperPages.com, the Internet Yellow Page (IYP) product from Idearc (formally Verizon Information Services, has licensed Urban Mapping’s neighborhood database for its local search platform.

Tags: clients, customers, database, neighborhood database, neighborhoods, pressworthy
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