Managing Tenant Movement scenarios based on Tenant Satisfaction during Occupied Renovation Activities

Abstract

The demands for renovation works in Korean construction market are expected to increase due to the advantages it brings. The two main classification of renovation methodologies are non-occupied condition and the occupied condition. The occupied condition allows the tenants to occupy the building during the construction, while non-occupied condition defines the complete vacancy of the building. The advantage of occupied condition, which the research focuses on, includes rental income collected during the renovation, retaining the tenant, and retaining the customer in the leasing market. The disadvantage of the occupied conditioned renovation includes durational disadvantages compared to the vacant building and considerations of the tenant within the building during the activity. During the occupied renovation, the time-cost tradeoff between finishing renovation quickly and obtaining rental income from partially occupied building necessitates an optimal solution. To optimize the solution, previous researches have focused on the optimization of the time-cost trade off using various analysis. During the analysis, case studies have shown that tenant satisfaction caused delays due to the movement of building user within the building. Since it is inevitable to create space for the workers without removing the tenants, managing tenant satisfactions requires detailed management skills. The tenant dissatisfaction that the renovation causes can result in schedule delay, cost overrun, and loss of building users productivity, which also creates Trade-off between tenant satisfaction, cost, and schedule. The research addresses occupant satisfaction as a main factor that hinders the occupied renovation and takes the satisfaction in to simulation input while scheduling the project. The research provides the building owner the tenant movement scenarios during the renovations works that considers occupant satisfaction as the most important factor.