Completion Date
Spring 4-19-2024
Document Type
Thesis
Degree Name
Master of Science (MS)
Program or Discipline Name
Project Management
First Advisor
Dr. Sarah Dyson
Abstract
The purpose of this research paper is to explore the potential of artificial intelligence (AI) in enhancing stakeholder feedback analysis in urban planning. This study aims to determine whether artificial intelligence can be used to increase stakeholder feedback analysis efficiency in urban planning projects. Additionally, the study will examine whether urban planning professionals are ready to adopt artificial intelligence into their practices. This study uses a structured quantitative research methodology, consisting of an online survey with Likert-scale questions to collect insights.
Based on the results of the survey, it appears that Boomers and older Gen X are more open to exploring artificial intelligence options, while younger Gen Z are less inclined to do so. A majority of respondents believe that artificial intelligence improves performance and productivity, while having a neutral attitude toward social pressure and ease of access. This study provides valuable insight into urban planners' attitudes and perceptions regarding the use of artificial intelligence tools for stakeholder feedback analysis, particularly among younger Millennials and older Generation Z individuals. Results of the survey indicate a mixed response which indicates the need for further research into how artificial intelligence capabilities such as machine learning and natural language processing can be used to enhance the urban planning processes.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Manoj, N. (2024). Analyzing Stakeholder Feedback Using AI. Retrieved from https://digitalcommons.harrisburgu.edu/dandt/8
Survey Instrument