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Crowdsourcing as Data Sharing: A Regional Web-based<br />

Real Estate Development Database<br />

Robert Goodspeed<br />

MIT Department of Urban Studies and<br />

Planning<br />

77 Massachusetts Avenue<br />

Room 9-415<br />

Cambridge, MA 02139<br />

+1 202-321-2743<br />

rgoodspe@mit.edu<br />

ABSTRACT<br />

The paper describes a web-based database of residential and<br />

commercial real estate development projects, created by a<br />

regional urban planning agency in Metropolitan Boston. In Phase<br />

I, now complete, the tool is used to facilitate inter-agency<br />

information sharing, demonstrating the ability of web-base data<br />

collection tools to increase information sharing between<br />

government agencies by reducing transaction costs. Phase II, now<br />

under development, will expand the functionality of the website to<br />

allow the general public to contribute information to the database,<br />

as well as view and download its contents. The project is unusual<br />

in its integration of a crowdsourcing paradigm with traditional<br />

methods of spatial information sharing. The project demonstrates<br />

the potential for technology to facilitate data sharing in favorable<br />

contexts where interorganizational relationships and sharing<br />

norms exist.<br />

Categories and Subject Descriptors<br />

H.4.2 [Information Systems Applications] – Types of Systems –<br />

database, spatial information. J.1 [Administrative Data<br />

Processing]: Government – urban planning.<br />

General Terms<br />

Management, Design, Theory.<br />

Keywords<br />

Crowdsourcing, spatial data sharing, urban development, Web<br />

2.0.<br />

Permission to make digital or hard copies of part or all of this work for<br />

personal or classroom use is granted without fee provided that copies are<br />

not made or distributed for profit or commercial advantage and that<br />

copies bear this notice and the full citation on the first page. Copyrights<br />

for components of this work owned by others than ACM must be<br />

honored. Abstracting with credit is permitted. To copy otherwise, to<br />

republish, to post on servers or to redistribute to lists, requires prior<br />

specific permission and/or a fee.<br />

ICEGOV '12, October 22 - 25 2012, Albany, NY, USA<br />

Copyright 2012 ACM 978-1-4503-1200-4/12/10...$15.00<br />

Christian Spanring<br />

Metropolitan Area Planning Council<br />

60 Temple Place<br />

Boston, MA 02111<br />

+1 617-451-2770<br />

cspanring@mapc.org<br />

460<br />

1. INTRODUCTION<br />

Timothy Reardon<br />

Metropolitan Area Planning Council<br />

60 Temple Place<br />

Boston, MA 02111<br />

+1 617-451-2770<br />

treardon@mapc.org<br />

1.1 The problem<br />

Urban planners and policymakers in Metropolitan Boston often<br />

want to answer simple questions about the urban region, such as:<br />

how is the region growing? Where are new housing and office<br />

buildings being built? Is this growth harming sensitive<br />

environmental resources, like forest and wetlands? Is affordable<br />

housing being constructed near jobs and public services?<br />

Until recently, accurate data did not readily exist to answer any of<br />

these questions. Only large projects are permitted by the state, and<br />

the metropolitan region’s 101 independent municipalities makes<br />

tracking small projects difficult. Most importantly, it is difficult to<br />

discover the development “pipeline” – project proposals known to<br />

local authorities but not yet under construction. If available, this<br />

information could be used to for a wide variety of policy and<br />

planning purposes, including anticipating transportation<br />

bottlenecks and evaluating existing regulations.<br />

Sharing spatial information about cities is increasingly important<br />

given the accelerated pace of urban change, the need for<br />

monitoring to enable smart cities, and the public’s demands for<br />

greater transparency and open data. Set in a fragmented<br />

metropolitan area, this paper describes a data-sharing project<br />

designed to combine crowdsourcing methods with traditional data<br />

sharing approaches to improve sharing of real estate development<br />

project information among government agencies and the general<br />

public. The resulting database and web-based interface will be<br />

referred to as the “development database,” and a prototype is<br />

available online at http://dd.mapc.org.<br />

Metropolitan Boston includes 101 incorporated cities and towns,<br />

which range widely in population and government size and<br />

capacity. Municipal record-keeping practices vary widely, and<br />

include paper records, spreadsheets, and some digital permitting<br />

systems. Where digital data exists, municipalities have developed<br />

varied database schema that correspond with local land use<br />

regulations making data integration difficult. Other data sources,<br />

such as U.S. Census datasets or the database of large-scale<br />

projects subject to the Massachusetts Environmental Policy Act<br />

are incomplete, infrequently updated, and lack information about<br />

proposed projects still in early planning phases.

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