Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio

Considering the power of web-based tools for crowdsourcing, planning organizations are increasingly using these technologies to gather ideas and preferences from the public. These technologies often generate substantial, unstructured data about public needs. However, our understanding of the use of...

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Main Authors: Nader Afzalan, Thomas Sanchez
Format: Article
Language:English
Published: Cogitatio 2017-09-01
Series:Urban Planning
Subjects:
Online Access:https://www.cogitatiopress.com/urbanplanning/article/view/1013
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spelling doaj-adbab151904941798d14b4e1f2ed18f72020-11-25T02:13:59ZengCogitatioUrban Planning2183-76352017-09-0123334410.17645/up.v2i3.1013537Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, OhioNader Afzalan0Thomas Sanchez1College of Arts & Sciences, University of Redlands, USASchool of Public and International Affairs, Virginia Tech, USAConsidering the power of web-based tools for crowdsourcing, planning organizations are increasingly using these technologies to gather ideas and preferences from the public. These technologies often generate substantial, unstructured data about public needs. However, our understanding of the use of crowdsourced information in planning is still limited. Focusing on the City of Cincinnati Bike-share planning as a case study, this article explores the challenges and considerations of using crowdsourced information. Employing mixed analysis methods, the article analyzes participant suggestions and examines whether and how those suggestions were incorporated into the bike-share plan. Interpretive analysis of interviews provided insights about suggestions that were used in the final plan. The results highlight organizational opportunities and limitations. A variety of organizational factors affected the utility of crowdsourced information in Cincinnati bike-share plan. These include the capability of the planning organizations to analyze data and facilitate participation, and the perception of planners about the value of crowdsourced information and local knowledge.https://www.cogitatiopress.com/urbanplanning/article/view/1013bike-sharecrowdsourcinginformationorganizationweb-based technology
collection DOAJ
language English
format Article
sources DOAJ
author Nader Afzalan
Thomas Sanchez
spellingShingle Nader Afzalan
Thomas Sanchez
Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio
Urban Planning
bike-share
crowdsourcing
information
organization
web-based technology
author_facet Nader Afzalan
Thomas Sanchez
author_sort Nader Afzalan
title Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio
title_short Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio
title_full Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio
title_fullStr Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio
title_full_unstemmed Testing the Use of Crowdsourced Information: Case Study of Bike-Share Infrastructure Planning in Cincinnati, Ohio
title_sort testing the use of crowdsourced information: case study of bike-share infrastructure planning in cincinnati, ohio
publisher Cogitatio
series Urban Planning
issn 2183-7635
publishDate 2017-09-01
description Considering the power of web-based tools for crowdsourcing, planning organizations are increasingly using these technologies to gather ideas and preferences from the public. These technologies often generate substantial, unstructured data about public needs. However, our understanding of the use of crowdsourced information in planning is still limited. Focusing on the City of Cincinnati Bike-share planning as a case study, this article explores the challenges and considerations of using crowdsourced information. Employing mixed analysis methods, the article analyzes participant suggestions and examines whether and how those suggestions were incorporated into the bike-share plan. Interpretive analysis of interviews provided insights about suggestions that were used in the final plan. The results highlight organizational opportunities and limitations. A variety of organizational factors affected the utility of crowdsourced information in Cincinnati bike-share plan. These include the capability of the planning organizations to analyze data and facilitate participation, and the perception of planners about the value of crowdsourced information and local knowledge.
topic bike-share
crowdsourcing
information
organization
web-based technology
url https://www.cogitatiopress.com/urbanplanning/article/view/1013
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