An integrated framework for affordable housing demand projection and site selection

Maimun, Nurul Hana Adi; Ismail, Syuhaida; Junainah, M; Razali, Muhammad Najib; Tarmidi, Zakri; Idris, Nurul Hazrina

doi:10.1088/1755-1315/169/1/012094

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…The government is facing pressure to fulfill the housing demand for low and middle-income earners. Since the year 1996, the Malaysian government has a plan to provide sufficient affordable housing for low-income groups with a good quality condition (Maimun, Ismail, Junainah, Razali, Tarmidi & Idris, 2018). The planning is estimating in about 653,000 affordable housing units as targeted to be built within the year 2016 to 2020 time frames (United Nations, 1996).…”

Section: Constructions Methods Of Affordable Housingmentioning

confidence: 99%

Potential Implementation of Lightweight Steel Panel System in Affordable Housing Project: Developers Perspective

Saikah¹,

Kasim²,

Kasim³

2020

IJSCET

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Utilization of Industrialized Building System (IBS) becomes increasingly dominant in the construction of affordable housing in Malaysia. Theoretically, utilization of IBS system can benefit to reduce the affordable housing price due to the less labor involvement and short constructions time. However, current IBS usage in housing construction still cannot fulfill the affordable housing demand especially in term of price and housing quality. Recent study reveals the lack adoption of IBS component in construction industry mainly caused by poor perception among stakeholder toward the system. Hence, some alterations in the supply of the IBS component essential to being prepared in order to reach the price target to permit all middle-income groups to own the quality house. Construction industry also can explore the other types of IBS system focusing on lightweight types such as wood or steel system which clearly could give benefit to the housing industry on faster works and high housing quality. Due to strong and durable characteristic of lightweight steel panel, it can be seen as an alternative component to be explored to enhance construction practices of affordable housing project. Therefore, the main purpose of this study is to identify the potential of lightweight steel panel system to be implemented for affordable housing project. Accordingly, for the highlight in reducing affordable housing price integrate with provision of good quality housing this research focus on feedback from developer about the proposed lightweight steel panel system. This research conducted an interview with six project managers with more than three years working experience in housing construction project at South of Peninsular Malaysia. Developer’s experience in affordable housing project mainly for landed house is coinciding because of lightweight steel panel system suitability for not more than two stories house. The result reveals that, respondent prefer to the advantages of lightweight steel panel system in term of faster installation works, low maintenance work, flexibility and smart construction. In conclusion, the ability of the system to decrease housing price at the same time sustain the desired quality of housing will increase ability and satisfaction for middle-income earner to own the house.

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Section: Constructions Methods Of Affordable Housingmentioning

confidence: 99%

Potential Implementation of Lightweight Steel Panel System in Affordable Housing Project: Developers Perspective

Saikah¹,

Kasim²,

Kasim³

2020

IJSCET

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“…Searching for suitable housing locations using a geographic information system can be done using the analytic hierarchy process (AHP) method [1,9], pairwise comparison method, and weighted overlay method. The ANN method can be used to get a forecast of the future value of land prices [8]. Some experiences use network analysis, remote sensing, GIS techniques, cost-distance analysis, map rasterization, map grouping, pairwise comparison method, spatial analysis tools, surface tools, conversion tools, Euclidean distance tools, model builder tools, and weighted overlay matching tools as well as the AHP method [10] [11][14] [16][17] [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Alternative Method in Selecting Location of Subsidized Housing Loan in Medan and Deli Serdang, Indonesia

Irwansyah,

Darmasurya,

Christia

et al. 2023

E3S Web of Conf.

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Indonesia is the fourth most populous country in the world. Therefore, the Indonesian government needs to provide a significant amount of housing for Indonesian citizens. In the place and time people live today, housing prices have risen so fast and so high that the lower classes cannot afford to buy their own houses where the government must provide housing for the citizens. To maximize the government's efficiency in making subsidized housing, the government needs to examine many variables to determine which place is most suitable for housing subsidies. Some examples of values that need to be the object of study are to assess the quality of life or life support value of each location such as the local environment, how strategic the place is in terms of how close it is to public facilities. All information provided is not in numeric values. To apply this model to the analysis, it is necessary to carry out the stages of converting values into the same class for each variable. After assessing and converting all the information into a certain value, it can then be calculated to obtain an objective value to determine the most suitable place for subsidized public housing using two types of modelling systems to get the most accurate results.

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“…The results of the study showed the possibility of a maximum take-up rate for the affordable houses built. Additionally, the supply and demand mismatch was eliminated (Maimun et al, 2018;Fig. 2).…”

Section: Ai For Affordable Housingmentioning

confidence: 99%

“…Figure 2. A demand prediction framework for affordable housing (Maimun et al, 2018) The application of AI in achieving the Kenya Government agenda of providing affordable housing would ensure maximum utilization of resources as clearly demonstrated in the aforementioned studies.…”

Section: Ai For Affordable Housingmentioning

confidence: 99%

The Extent and Use of Artificial Intelligence to Achieve the Big Four Agenda in Kenya

Mgala

2020

mjtum

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Artificial Intelligence (AI) is the human-like intelligence given to systems and demonstrated by machines in doing tasks associated with human intelligence. AI systems can therefore, think like humans, act like humans, think rationally or act rationally. AI systems are not only more powerful and more useful than ordinary computers, but they also solve complex emerging human problems. These systems can be used in areas such as medicine, to conduct guided surgery; transportation, for autonomous vehicle control; face recognition; speech recognition; decision making in agriculture, manufacturing and housing. The present study is a review of the AI technology trend. A search was conducted on literature, technology magazines, and other internet sources. A discussion is presented on how AI systems have been widely applied in the developed world and the extent these systems are being embraced in other countries like China to spar development. Thereafter, this paper discusses the extent to which AI has been applied in the specific areas that relate to the Kenyan Big Four Agenda. The contribution of this paper is a framework that the Kenya Government can adapt in the application AI’s world transforming technologies to achieve its development agenda. We discuss the challenges that hinder full application of the AI technology and present the way forward.

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An integrated framework for affordable housing demand projection and site selection

Cited by 11 publications

References 13 publications

Potential Implementation of Lightweight Steel Panel System in Affordable Housing Project: Developers Perspective

Potential Implementation of Lightweight Steel Panel System in Affordable Housing Project: Developers Perspective

Alternative Method in Selecting Location of Subsidized Housing Loan in Medan and Deli Serdang, Indonesia

The Extent and Use of Artificial Intelligence to Achieve the Big Four Agenda in Kenya

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