Modeling municipal or urban decisions is challenging due to the abundance of variables that guide end results. One such challenging issue is the existence of vacant lots in a city, which causes poorer standard of living for the community. As a result, reclaiming these properties and putting them into productive use is a primary concern. However, each time community leaders had to ``reinvent the wheel\u27\u27 and make decisions from scratch. To this end, we propose the creation of a vacant lot model and utilizing it to provide recommendations for vacant lot conversions, providing a starting point for such decision making. We define a vacant lot model in terms of determinants to a vacant lot\u27s impact, and evaluate the proposed method on real-world vacant lot datasets from the cities of Philadelphia, Pennsylvania and Baltimore, Maryland. Our results indicate that our prediction model performs accurately on cities with a centralized approach to vacant lot conversion
