Artificial intelligence enabled participatory planning: a review

被引:8
|
作者
Du, Jiaxin [1 ]
Ye, Xinyue [1 ,6 ]
Jankowski, Piotr [2 ,3 ]
Sanchez, Tom [4 ]
Mai, Gengchen [5 ]
机构
[1] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX USA
[2] San Diego State Univ, Dept Geog, San Diego, CA USA
[3] Adam Mickiewicz Univ, Inst Geoecol & Geoinformat, Poznan, Poland
[4] Virginia Tech, Sch Publ & Int Affairs, Blacksburg, VA USA
[5] Univ Georgia, Dept Geog, Athens, GA USA
[6] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA
基金
美国国家科学基金会;
关键词
Artificial intelligence; GIS; participatory planning; spatial decision support; AI challenges and limitations; democratic decision-making; DATA SCIENCE; BIG DATA; URBAN; ANALYTICS; DECISION; DESIGN; PLANS; SUPPORT; SYSTEMS; DRIVEN;
D O I
10.1080/12265934.2023.2262427
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Participatory planning is a democratic spatial decision-making process involving multiple stakeholders. The integration of artificial intelligence (AI) methods in participatory planning has the potential to improve the decision-making process. However, there are challenges and limitations that need to be addressed. In this paper, we systematically review the progress of AI-enabled participatory planning, identifying strengths and weaknesses. We used a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework for our analysis, highlighting the opportunities for advancing AI in participatory planning and the potential threats that may arise. Our study provides valuable insights into the current state of AI-enabled participatory planning, paving the way for future developments and improvements.
引用
收藏
页码:183 / 210
页数:28
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