IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Managing Metropolitan Futures: The Role of Information Intermediaries

  • Joseph Ferreira
  • Andrew Reamer
  • Susan Wachter

This paper reviews the literature and the experience of the development of Community Statistical Systems deriving from the original Community Information Network movement in the 1980s. The paper traces the evolution of these systems into the second generation of Neighborhood Information Systems1 , or Community Statistical Systems, which with the development of technology provide powerful integration of multiple databases for improved community outcomes. This paper provides a conceptual review of the development of Community Statistical Systems and their precedents in Neighborhood Information Systems and Community Information Networks. The paper presents findings for the development of a new approach to the effective deployment of Community Statistical Systems.2 Geographic Information Systems technology enables mapping of any number of neighborhood trends and patterns. By combining layers of information about a place, GIS enables comprehensive evaluations of the area and the development of Neighborhood Information Systems (NISs) that build integrated data sets. There are two levels of NIS use that fulfill different purposes: "transactional" use based on individual points of data and "analytical" use based on the transformation of data into information. Typically, neighborhood information systems are used by community groups to find specific information about individual property parcels. That, in and of itself, can help promote better community development. However, information about individual property values, for example, has limited use in revealing patterns for the neighborhood as a whole. On the other hand, in the aggregate, analysis of house values can be used to develop neighborhood price indexes, which in turn can be powerful indicators of the relative economic health of different neighborhoods across time and space. The two uses have different functions. One supplies raw data about land or housing parcels, while the other provides information on the community. However, in general, community statistical systems and neighborhood information systems cannot easily supply the totality of these data sets to support this second function, nor can they update these data in a timely fashion. We propose here the development of a new approach and a new model for neighborhood information systems. To date, most such systems are hosted at a single location by a single server provide by a data intermediary. The power of an NIS derives from the integration of multiple data layers for interpretation, analysis and discovery of patterns; the relevant data sets change, depending on the user. Space and cost limitations make database storage of all relevant data sets unwieldy and probably infeasible. The alternative and better approach is to develop a distributed web strategy with a different role for the data intermediary. Instead of hosting all requisite databases (and having to continually update them), the databases would instead remain with the original data providers and the intermediary would facilitate the connections between different databases and the end-user. The intermediary would also develop compatibility protocols to ensure that all databases can be integrated into the same GIS template. In addition, protocols for automatic updating of data sets and for determining access would be functions of the intermediary. The potential for this new model of NIS is great since ultimately access could be provided to relevant administrative data sets, currently used for the day to day business of governments, which could then be deployed for informing and improving community development policies. 1 The Wharton Real Estate Department Geographic Information Systems (GIS) Lab of the University of Pennsylvania developed a Neighborhood Information System (NIS) prototype with the support of a grant from the Fannie Mae Foundation. 2 An annotated bibliography of relevant literature is provided in Appendix 1.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://realestate.wharton.upenn.edu/papers/full/409.pdf
Download Restriction: Access to the full text of the articles in this series is restricted

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Paper provided by Wharton School Samuel Zell and Robert Lurie Real Estate Center, University of Pennsylvania in its series Zell/Lurie Center Working Papers with number 409.

as
in new window

Length:
Date of creation:
Date of revision:
Handle: RePEc:wop:pennzl:409
Contact details of provider: Postal: 256 South 37th Street, Philadelphia, PA 19104-6330
Phone: 215.898.9687
Fax: 215.573.2220
Web page: http://zell-lurie-center.wharton.upenn.edu/working.html
Email:


More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wop:pennzl:409. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.