Ihm, S Y; Lee, H J; Lee, E J and Park, Y H (2021) A policy knowledge- and reasoning-based method for data-analytic city policymaking. Building Research & Information, 49(1), pp. 38-54. ISSN 0961-3218
Abstract
Efforts are being directed towards the implementation of data analysis in various areas of policymaking. In many studies, data analysis has been conducted by applying scientific methods on objective data. However, very few studies have dealt with this aspect pragmatically, starting from the data collection stage. This paper presents knowledge and reasoning systems for establishing city policies based on data analysis. First, city policy-related data are collected, and a clustering method is used for analysis. Next, Shapley value theory is used to determine the levels of inter-variable influence, and machine learning techniques, such as the decision tree, Bayesian analysis, and regression analysis, are implemented using the major variables to determine policies. Finally, a system dynamics model is designed to review the policy reasoning and assess its practicality.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | foresight; machine learning; policy knowledge model; policy reasoning |
| Index terms: | machine learning, system dynamics, Bayesian analysis, reasoning, data analysis, clustering, implementation, regression analysis, decision tree |
| Subjects: | decision analysis, cognitive psychology, statistical analysis, contractual arrangements, data analysis and analytics, artificial intelligence, data science, computing systems |
| Topics: | Research Practice, Risk Management, Procurement, Digital Applications |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here