Enhancing Public Housing Scheme In Singapore

Zhao Xiaoyu Jessie

Abstract

This dissertation explores optimizing Singapore's public housing allocation, evaluating the Build-to-Order (BTO) scheme introduced in 2001 for its flexibility and low-risk construction approach. Despite successes, challenges like increased demand and longer waiting times, exacerbated by the COVID-19 pandemic, have revealed limitations.

Employing the Analytic Hierarchy Process (AHP) model, this study critically assesses four key housing policies: the Registration for Flats System (RFS), the BTO, a prototype Build to Sell (BTS), and a novel Forecasting Build Sell (FBS) policy. This multidimensional evaluation considers various factors impacting citizens' quality of life and government objectives, aiming to align these divergent priorities towards a cohesive housing strategy.

Findings indicate a strong preference among citizens for the BTS scheme, driven by its immediate construction start, which significantly reduces waiting times and location uncertainty. Conversely, the government's preference leans towards the BTO scheme, prioritizing financial prudence and risk management. The proposed FBS model emerges as a promising solution, predicting demand and initiating construction pre-emptively to balance efficiency with reduced financial risks.

This dissertation underscores the need for continuous innovation in public housing policies, suggesting that data-driven models like the AHP and FBS could facilitate a more efficient and equitable allocation of housing. By adapting to evolving societal trends and demographic shifts, Singapore can refine its public housing strategy, ensuring it remains responsive to citizens’ needs and maintains its role as a global exemplar in affordable, high-quality housing.