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Income from investment properties can fluctuate depending on the state of the economy. The idea that there is always a potential exit (sale) value whenever the property stops performing at its optimum or deflation in the economy will always appeal to investors. To determine housing prices, investors would rely on a direct comparison approach (DCA) of recent substitute sales in the open market. Appraisers use this approach to develop an opinion of value when there is a plethora of recent sales to analyse.

The study was designed to establish the use of the analytical hierarchy process (AHP) approach as a support tool for deciding property appraisals. A case study of an industrial single-storey stand-alone building with grade-level parking in the south-east of Calgary, Canada, was investigated with the AHP approach. The result was cross-referenced with the DCA.

Using a consistency index of 0.077321 and a consistency ratio of 0.085912, the matrix multiplication was determined to be 0.456706. The average valuations derived from the adjusted price per square foot using the direct comparison method and the unadjusted price per square foot using the AHP were deemed the best value estimate in the light of available comparables. The implications of the findings suggest that AHP, as a quantitative technique, can support and validate the use of similar non-recent sale comparables when appraising investment properties with the DCA.

AHP is an alternative aid in quantitatively deciding the most significant value attribute for comparison before subjective adjustments. When intuitively applied in the DCA, these subjective adjustments almost always lead to an overvaluation of properties.

The construction of new transportation infrastructure tends to affect the adjoining properties, economy and environment. In particular, studies have investigated the change in the value of properties due to increased access to transportation facilities. The purpose of this paper is to examine the impact of the recently completed light rail on residential property values in Sydney, Australia.

Sales data of residential properties was extracted from the CoreLogic’s RP database. The hedonic pricing model was used to assess the effect of proximity to the light rail stops. Two models were developed for the announcement and construction phases of the light rail project.

It was found that during the announcement phase, properties located within the 400 m radius from the station were 3.3% more expensive than those within the 400–800 radius. At the construction stage, the properties within the 0–400 m radius from the stops sold at 3.1% more than those within the 400–800 m radius. This study concludes that a positive relationship exists between the values of residential property and proximity to light rail stations.

These findings would be useful for policymakers to develop land value capture programs for infrastructure funding and to real estate professionals and investors for investment in future transit-oriented development.

Previous studies that aimed at examining the impact of light rails on residential properties values around universities are limited. Hence, this study provides a broad perspective on the impact of light rail on residential properties values.

Building information modelling (BIM) is an innovative, collaborative process underpinned by digital technologies introduced to improve project performance in the architecture, engineering and construction (AEC). Growth in industry demands has necessitated BIM inclusion into the higher education (HE) curricula as both a pedagogic and practical objective to prepare and develop aspiring built environment (BE) professionals with the required competence for contemporary practice. However, comprehension of BIM concepts and subsequent development of the skill set required for its application remains overwhelming for students. In mitigating this challenge, adopting appropriate learner-centred strategies has been advocated. Problem-based learning (PBL) is becoming a widespread strategy to address concerns associated with authentic practices.

This paper evaluates the impact of the PBL strategy on students' accelerated learning of BIM based on a case study of 53 undergraduate students in a BIM module. The network analysis and centrality measures were employed in understudying the most applicable BIM skills.

From the analyses, PBL benefits students' knowledge acquisition (cognitive and affective) of BIM concept and development of transferable skills (academic and disciplinary), equipping them with capabilities to become BIM competent and workplace ready for the AEC industry.

The BIM pedagogy evolves, and new skillsets emerge. Analytical, communications and collaboration skills remain sacrosanct to delivering BIM modules. These skills mentioned above are essential in getting undergraduate students ready to apply BIM in the AEC sector.

This paper aims to investigate construction site workers’ compliance with various coronavirus (Covid-19) protocols while working on construction sites.

This survey was conducted at the end of the imposed lockdown following Nigeria’s upsurge of the Covid-19 pandemic. The survey research method was adopted for the study using a structured questionnaire administered to 246 construction site workers under strict Covid-19 preventive measures. The data was complemented through personal observations of the study site activities. The results were analysed using frequency tables and a factor analytical approach.

The preventive measures in place on construction sites can be classified into personal protective measures, good etiquette/manners, contact precautions and prompt actions. Although the workers claimed to be aware of the Covid-19 pandemic, their disposition towards the preventive measures on construction sites is worrisome. Hence, their level of compliance with the protocols could mitigate the spread of the virus.

This paper fulfils an identified gap to study the need to promote public health by mitigating the global pandemic’s spread in areas where social distancing cannot be easily observed.

Despite the varied housing policies guiding the Nigerian housing provision, its delivery is yet to level up with the global acceptable sustainability requirements. Previous studies revealed that developing countries are yet to unravel and embrace the tenets of sustainable housing delivery. This study, therefore, adopted the analytic hierarchy process survey in evaluating the critical success factors (CSFs) that can enhance the delivery of sustainable housing and, in turn, meeting the nation’s sustainable housing needs.

Data for the study was sourced from housing developers in Nigeria. A pilot survey was done to reduce the identified success factors into a manageable size. These factors were evaluated using the analytical hierarchy process to ascertain the significant factors for sustainable housing delivery in developing economies.

Findings from the study revealed that government funding towards sustainable housing, access to low-interest housing loan, mandating affordable housing development, ensuring community participation during housing delivery, the involvement of housing stakeholders, ensuring the security of life and properties, use of sustainable materials, adaptable housing design and befitting land use are the significant CSFs required for enhancing sustainable housing delivery.

The findings of this study seek to inform developers, practitioners and policymakers on the CSFs crucial for sustainability attainment in the built environment.

The CSFs are quite important and they would promote government sustainability programmes, meeting housing needs and if well implemented and adopted thereby solving environmental and socio-economic challenges of traditional housing development. This research has added to the existing literature on sustainable housing delivery by providing information on inclusive CSFs that would enhance the delivery of sustainable housing in the developing economy. Further research of this nature can also be carried out to compare and contrast with other developing economies.

Building information modelling (BIM) is a novel technological advancement in the built environment. Despite the potentials of BIM, its adoption and implementation are undermined in facility management (FM) operations. This might be because of limited information on the critical success factors (CSFs) that can enhance its adoption. The study aims to integrate building information modelling to improve facility management operation by adopting fuzzy synthetic approach for evaluating the critical success factors.

Data for the study were sourced from practising and registered facility managers within Lagos metropolis, Nigeria. The data collected were analysed using a combination of methods which include mean item score, factor analysis and fuzzy synthetic evaluation (FSE).

The factor analysis results showed that six underlying groups of CSFs would enhance the effective adoption of BIM in facility operations. The FSE results showed that out of the six groups, the three topmost important CSF grouping (CSFG) in the decision rule would enhance the effectiveness of BIM adoption for FM operations.

The result of this study provides a credible road map for facility managers, policymakers and other stakeholders in FM operations on the CSFs and CSFG required for the adoption of BIM.

Previous studies that aimed at integrating BIM into FM are limited. Hence, this study provides a broad perspective on the CSF required for BIM adoption and implementation in FM operations using the FSE approach.

This paper explores the relevance of inter-market research to improving knowledge in property markets. It focuses on Nigeria's emergent property market which JLL (2018) suggests is information challenged. Given the country's lack of property data management, it is posited that inter-market studies can help to improve information supply and market knowledge. Inter-market research in Nigeria is compared with the UK's established market where such research is a key information source.

An online database search was used to collate published intra-market and inter-market research on Nigeria's property market between 2009 and 2019. The inter-market research were thereafter examined as to volume and scope (geographical and thematic) and compared with the UK's.

Relative to the UK, the volume as well as scope (geographical and thematic) of inter-market research in Nigeria are respectively far lower and narrower, thereby producing less information overall. Only a few Nigerian studies provide insights of two or more local markets. There is little or no research on many important market issues and other urban markets in the system. This suggests that inter-market research is relatively undeveloped in Nigeria.

The online search approach used to assemble extant research in the absence of a research repository may have resulted in the omission of some inter-market research undertaken between 2009 and 2019 if these were not published online.

The dearth of inter-market research in Nigeria suggests an inadequately researched market. This limits market information, market knowledge, suggests a low market competitiveness with implications for development in view of the role of property in the modern economy.

In view of the little attention given to inter-market research in Nigeria, this study draws attention to its potential for improving market knowledge by the production of information which has a wider market relevance.

This paper aims to examine the impact of coastline on the rental value of residential property in proximity to the coastline, using the hedonic pricing model from two perspectives. First, Model 1A–C accounted for estimating the influence of coastal amenities while controlling for other housing attributes influencing rent. Second, Model 2A–C accounted for the interaction between coastal amenities/disamenities and other housing attributes influencing rent.

A survey approach was adopted for the data collection process. For both models, property values were measured in proximity to coastline using 0–250 m, 251–500 m and 0–500 m.

Findings revealed that property rental value increases as we move away from the coastline when disamenities are not controlled. The results suggested that for a mean-priced home (N2,941,029 or $8,170) at the mean distance from the coastline (301.83 m), a 1% increase in distance from the coastline would result in a 0.001% or N9.77 ($0.03) increase in rental value.

The implication to real estate valuers is that varying premiums should be considered when valuing a property depending on the distance to the coastline while considering other housing attributes.

This research introduces a novel approach to the hedonic model for determining property values in proximity to coastal environment by estimating the influence of coastal amenities while controlling for other housing attributes influencing rent, on the one hand, and accounting for the interaction between coastal amenities/disamenities and other housing attributes influencing rent, on the other.