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100			_aZhang, Ge _945639
245			_aDevelopment of a flow-based planning support system based on open data for the City of Atlanta
260			_bSage, _c2019.
300			_aVol 46, Issue 2, 2019,(207-224 p.)
520			_aOpen data have come of age with many cities, states, and other jurisdictions joining the open data movement by offering relevant information about their communities for free and easy access to the public. Despite the growing volume of open data, their use has been limited in planning scholarship and practice. The bottleneck is often the format in which the data are available and the organization of such data, which may be difficult to incorporate in existing analytical tools. The overall goal of this research is to develop an open data-based community planning support system that can collect related open data, analyze the data for specific objectives, and visualize the results to improve usability. To accomplish this goal, this study undertakes three research tasks. First, it describes the current state of open data analysis efforts in the community planning field. Second, it examines the challenges analysts experience when using open data in planning analysis. Third, it develops a new flow-based planning support system for examining neighborhood quality of life and health for the City of Atlanta as a prototype, which addresses many of these open data challenges.
650			_aOpen data, _936833
650			_a planning support system, _945640
650			_a flow-based, _945641
650			_aweb application _937453
700			_aZhang, Wenwen _945642
700			_aGuhathakurta, Subhrajit _945643
700			_aBotchwey, Nisha _945644
773	0		_011590 _915512 _dSage 2019. _t Environment and Planning B: Urban Analytics and City Science
856			_uhttps://doi.org/10.1177/2399808317705881
942			_2ddc _cART