Humanizing Unfriendly Buildings and Spaces by Architectural Thought (Case Study: Houses from Jordan)

Sqour, Saqer Mustafa; Rjoub, Abdelmajeed; Alshawabkeh, Rami; Husban, Safa Al; Al-Taani, M.A.SH.; Labin, Ahlam Eshruq

doi:10.13189/cea.2022.100321

Cited by 3 publications

(3 citation statements)

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“…The pedestrian-oriented building criterion includes the human scale of buildings (Sqour et al 2022a) as the residential units vary from one floor to four floors, attractive facades of structures by using a pleasing height and suitable materials, defining streets and squares by the surrounding buildings and diversity in shapes and styles of buildings as there are several dwelling types in the neighbourhoods (Abbas and Najat 2019). Diversity in shapes and styles of buildings isn't available in the Jordan Villa compound as there is a typical pattern of building with various areas (Table 2).…”

Section: Resultsmentioning

confidence: 99%

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Sustainable Neighbourhood Evaluation Criteria -Design and Urban Values (Case study: Neighbourhoods from Al-Mafraq, Jordan)

Labin¹,

Sqour²,

Rjoub³

et al. 2022

sace

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A sustainable neighbourhood is critical in preserving the environment for future generations, as various societies are suffering from increasing reliance on vehicles and low social interaction. This study aims to compare two neighbourhoods in terms of implementing the sustainable neighbourhood criteria. This study is based on eight sustainable neighbourhood evaluation criteria related to design and urban values are: regional issues, compacted form, mixed land-use, connectivity, pedestrian-oriented building, public sphere of the neighbourhood, relationship with transit, and walkability. University District and Jordan Villa Compound newly developed residential neighbourhoods located in Al-Mafraq city in Jordan were chosen as a case study to evaluate the sustainable neighbourhood criteria. The primary and secondary data were obtained from various resources, including; previous studies that related to the topic, site surveys and personal interviews. The results show that The University District is more sustainable and walkable than the Jordan villa compound; due to several reasons as the grid pattern of planning and the high population density. The importance of this study comes from implementing the sustainable neighbourhood evaluation criteria to develop communities to become more sustainable and walkable.

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Section: Resultsmentioning

confidence: 99%

“…5. Pedestrian-oriented building indicator includes a human scale of buildings, attractive facades of buildings, defining streets and squares by the surrounding buildings and diversity in shapes and styles of buildings(Elgadi and Ismail 2016, Jasim et al 2018, Abbas and Najat 2019, Sqour et al 2022.6…”

mentioning

confidence: 99%

Sustainable Neighbourhood Evaluation Criteria -Design and Urban Values (Case study: Neighbourhoods from Al-Mafraq, Jordan)

Labin¹,

Sqour²,

Rjoub³

et al. 2022

sace

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show abstract

“…The social cost-benefit analysis includes several aspects, including analysis of different alternatives, attention to potential risks, and studying future economic development, and ending with a market study and the final financial cost. These social factors are important; therefore, architects should bring back the human aspects to buildings and introduce the human factors to urban fabric for a better environment and happy life [35].…”

Section: Analysis Of Social Feasibilitymentioning

confidence: 99%

The Absence of Social Expenses and Social Profits in Housing Projects in Jordan

Sqour¹

2022

cea

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This paper discusses the ignored social costs and profits in cooperative housing schemes. These projects focus on monetary costs and benefits. These projects ignore the social side, which is an important part that housing projects must consider. This study is necessary because of the importance of housing projects, and their contributions to the problems and solutions to the problem of different societies. Housing projects also play a significant role in supporting the construction industry nationwide. The importance of the study lies in the fact that cooperative housing projects often ignore the social costs of housing. Therefore, the aim of this study is to shed light on social expenses and profits in cooperative housing projects, and to make suggestions for improvement. Literature is reviewed on the available research work that has previously been done on housing schemes in Jordan. However, the focus of this study is on examining the housing schemes conducted by the Jordanian Engineers Association. The review takes care of the different opinions of architects and thinkers on the issue of housing in Jordan as well as a case study to help address the problem. The cooperative housing schemes in the Jordanian Engineers Association aim to grant a plot of land each to members of the association to enable them to build their own independent homes. Further, the study helps to understand the neglected social expenses and social profits, and to revive those benefits in housing projects, because these projects depend on the financial side while ignoring the social part of these projects. The study ends by recommending more government power in planning and designing private cooperative housing schemes, because government's role is necessary to support and monitor these projects to ensure the existence of social benefits in them.

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Enhancing preservation outcomes for architectural heritage buildings through machine learning-driven future search optimization

Abusaleh

2024

Asian J Civ Eng

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Humanizing Unfriendly Buildings and Spaces by Architectural Thought (Case Study: Houses from Jordan)

Cited by 3 publications

References 0 publications

Sustainable Neighbourhood Evaluation Criteria -Design and Urban Values (Case study: Neighbourhoods from Al-Mafraq, Jordan)

Sustainable Neighbourhood Evaluation Criteria -Design and Urban Values (Case study: Neighbourhoods from Al-Mafraq, Jordan)

The Absence of Social Expenses and Social Profits in Housing Projects in Jordan

Enhancing preservation outcomes for architectural heritage buildings through machine learning-driven future search optimization

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