A hybrid approach to optimize initial design strategies for pre-sale housing projects

Abstract

Purpose The purpose of this paper is to propose a hybrid decision-making model for optimizing the initial design strategies of pre-sales housing, identifying factors affecting the initial design of housing, and developing different initial design approaches and strategies based on buyers’ preferences. Design/methodology/approach Indicators and factors in line with the local initial planning and design are created according to the design quality indicator framework. The important indicators and factors are screened out preliminarily with the fuzzy Delphi method and decision-making trial and evaluation laboratory based analytic network process. The performances of two actual cases under similar site conditions are checked with regard to the overall residential sales rate and time on the market (TOM). Findings The result shows that the proposed model can effectively improve the sales rate, shorten the TOM and better complies with buyer design strategy demands, and thus positively correlating to economic value. Originality/value Pre-sales make possible the customized strategy of allowing future residents to participate in the housing design process. However, buyers’ participation in the design process is highly limited, and developers usually determine their planning and initial residential design strategies based on experience and intuition. With the proposed approach, the initial residential design of a project can be effectively intervened, so that home users can truly participate in the design, and the residential construction service can be provided in a unique, but non-universal way.

Research needs for enhancing pre-occupancy evaluation of buildings

“…However, this study did not focus on the needs of homebuyers for house design. Juan et al. (2019) addressed this problem by proposing a hybrid decision-making model to capture buyers’ preferences at initial design stages to deliver a unique outcome, a marketing strategy.…”

“…homebuyers’ house purchase intention (Azmi et al. , 2022), homebuyers’ design preferences to enhance pre-sales of housing projects (Juan et al. , 2019) and residents’ life changes after moving into a new low-carbon development (LCD).…”

Multidimensional drivers: exploring contractor rule violations in the construction industry

“…, 2018). In the construction industry, the DANP method has been used to analyze priorities of complexity in international development projects (Kim and Nguyen, 2021) and weights of factors in the initial residential design (Juan et al. , 2019).…”

“…In addition, the traditional ANP method assigns the same weight to each category, while the DANP method improves this shortcoming and normalized the procedure (Boostani et al, 2018). In the construction industry, the DANP method has been used to analyze priorities of complexity in international development projects and weights of factors in the initial residential design (Juan et al, 2019). In summary, the research process framework used herein is presented in Figure 2.…”

Exploring critical influencing factors for the site selection failure of waste-to-energy projects in China caused by the “not in my back yard” effect

“…It constructs a direct influence matrix on the basis of the logical relationship among the factors in a system, calculates the centrality and cause of each ECAM 28,6 factor and finally classifies and analyzes the factors (Charkhakan and Heravi, 2018;Ghoddousi et al, 2018;Hatefi and Tamo saitien_ e, 2019). It can identify the critical influencing factors of an entity system and present the influence relationship among various factors through a visual map (Wu et al, 2015;Cui et al, 2019;Juan et al, 2019).…”