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Buildings
Special Issues
Housing Price Dynamics and the Property Market
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Housing Price Dynamics and the Property Market

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Architectural Design, Urban Science, and Real Estate".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 4035

Special Issue Editor

Dr. Rotimi Abidoye

E-Mail Website
Guest Editor
School of Built Environment, UNSW, Sydney, Australia
Interests: housing supply; property valuation; affordable housing; smart cities; property investment and finance

Special Issue Information

Dear Colleagues,

This Special Issue delves into the intricate dynamics of housing prices within the current economic landscape, driven by increasing economic pressures, inflation, rising interest rates, and the transformative aftermath of the COVID-19 pandemic. Amidst these challenges, consumer preferences in the property market have notably shifted, necessitating a thorough exploration of the nuanced connections between economic trends and housing dynamics. This Special Issue places a prominent focus on sustainability, scrutinizing the profound implications of our evolving spatial needs. Key thematic areas include sustainable housing solutions, PropTech’s pivotal role in shaping the property landscape, housing affordability issues, post-pandemic shifts in property consumers’ preferences, a thorough examination of alternative housing models, and the rising prominence of the build-to-rent housing model. The scope of this Special Issue includes, but is not limited to, the following topics:

  1. Post-pandemic spatial trends and housing preferences.
  2. Smart homes, smart cities: how will innovation impact housing?
  3. Interest rate changes and housing affordability.
  4. Social equity and access to affordable housing.
  5. Sustainable urban housing.
  6. Impact of innovation and ICT on the property market.
  7. Build-to-rent: an emerging housing paradigm.
  8. Global perspectives on housing affordability.

Dr. Rotimi Abidoye
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • property market
  • housing supply
  • housing investment and finance
  • affordable housing
  • property value
  • sustainable housing
  • innovative housing solution
  • built-to-Rent housing model
  • housing aging population
  • housing policy

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

22 pages, 2364 KiB  
Article
Decision-Making Amid Economic Uncertainty: Exploring the Key Considerations of Commercial Property Investors
by Albert Agbeko Ahiadu, Rotimi Boluwatife Abidoye and Tak Wing Yiu
Buildings 2024, 14(10), 3315; https://doi.org/10.3390/buildings14103315 - 21 Oct 2024
Viewed by 1698
Abstract
This study explored the key considerations of commercial property investors acting under conditions of economic uncertainty across the following three dimensions: market fundamentals, institutional, and behavioural factors. Over the past few decades, a series of exogenous shocks to the global economy has impacted [...] Read more.
This study explored the key considerations of commercial property investors acting under conditions of economic uncertainty across the following three dimensions: market fundamentals, institutional, and behavioural factors. Over the past few decades, a series of exogenous shocks to the global economy has impacted property performance, investment volumes, and investor perceptions. Acknowledging that uncertainty further complicates investment decision-making, a mixed-methods research approach was adopted to examine the perspectives of 5 experts and 412 property investors. The findings revealed that, while most investors express negative responses to uncertainty and adopt more cautious attitudes, others are more aggressive and attempt to capitalise on emerging opportunities. Market fundamentals are not the only key consideration; access to information and investors’ behaviour all impact how decisions are made under these conditions. In particular, wealthy and more experienced investors make more comprehensive decisions, considering all three dimensions, while aggressive investors may disregard data in favour of intuition. Behavioural biases such as the bandwagon effect and fear of missing out (FOMO) all influence decisions and are sometimes exacerbated by media narratives. Practically, these considerations underscore the complexity of decision-making under conditions of uncertainty and how different investors attempt to navigate market volatility. Full article
(This article belongs to the Special Issue Housing Price Dynamics and the Property Market)
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21 pages, 1898 KiB  
Article
Machine Learning Valuation in Dual Market Dynamics: A Case Study of the Formal and Informal Real Estate Market in Dar es Salaam
by Frank Nyanda, Henry Muyingo and Mats Wilhelmsson
Buildings 2024, 14(10), 3172; https://doi.org/10.3390/buildings14103172 - 5 Oct 2024
Viewed by 1472
Abstract
The housing market in Dar es Salaam, Tanzania, is expanding and with it a need for increased market transparency to guide investors and other stakeholders. The objective of this paper is to evaluate machine learning (ML) methods to appraise real estate in formal [...] Read more.
The housing market in Dar es Salaam, Tanzania, is expanding and with it a need for increased market transparency to guide investors and other stakeholders. The objective of this paper is to evaluate machine learning (ML) methods to appraise real estate in formal and informal housing markets in this nascent market sector. Various advanced ML models are applied with the aim of improving property value estimates in a market with limited access to information. The dataset used included detailed property characteristics and transaction data from both market types. Regression, decision trees, neural networks, and ensemble methods were employed to refine property appraisals across these settings. The findings indicate significant differences between formal and informal market valuations, demonstrating ML’s effectiveness in handling limited data and complex market dynamics. These results emphasise the potential of ML techniques in emerging markets where traditional valuation methods often fail due to the scarcity of transaction data. Full article
(This article belongs to the Special Issue Housing Price Dynamics and the Property Market)
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