Factors that influence distance to facilities in a sustainable efficient residential site design

Maleki, Mousa; Zain, Muhammad Fauzi Mohd.

doi:10.1016/j.scs.2011.07.008

Cited by 24 publications

(13 citation statements)

References 18 publications

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“…There is a need to identify risks affecting green sites during the planning stage, because they can represent a key issue for site sustainability in green building development. Many risks were identified, such as water pollution reduction [47], green parking, thermal environment, use of land resources [48], car use, land diversity, non-residential land use, and employment influence on the distance to facilities [49].…”

Section: Risks Affecting Green Buildings (Gbs)mentioning

confidence: 99%

Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings

et al. 2021

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Improving building performance through reducing negative environmental impacts can be achieved by greening existing buildings (GEB), which is considered a very important sustainability process. Due to the risky and uncertain nature of the process of GEB, a growing amount of attention should be given to eliminating the effects of risks on GEB. This research aims to identify most expected risk factors related to GEB, as well as to evaluate their effects through calculating risk factor characteristics, such as risk factor presence (RFP), impact on the GEB process (IGEB), and impact on building performance in the long run (IBP), as new indices describe these risks. Sixty-six risk factors were categorized in seven risk groups related to the economic aspect, social aspect, environmental aspect, managerial aspect, sustainability operation, sustainable design, and renovation. Moreover, a fuzzy model for risk analysis was developed to combine the multi-effects of the aforementioned three risk factor characteristics in one index representing the risk factors’ overall importance. The model was applied and verified for data collected in Saudi Arabia. The results of this study showed that the most important risk group is the greening process of environmental control, while the least important is the greening process of renovation and construction. Using the proposed model improved the results of evaluating risks affecting GEB through merging the multi-effects of risk factor characteristics. The results and analysis proved that the most important key risk factors were environmental in nature. An intricate relationship of the impacts on the GEB process and building performance with the overall importance of the risk factors was clearly found. The decision makers who deal with greening projects in Saudi Arabia should be aware of the key risks identified in this study. The proposed methodology and model can be easily applied to other countries to help decision makers in evaluating their GEB projects, as well as comparing more greening projects based on risk analysis.

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Section: Risks Affecting Green Buildings (Gbs)mentioning

confidence: 99%

Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings

et al. 2021

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“…To that end, Maleki and Zain (2011) investigated 155 neighborhoods of the municipal of Subang Jaya, Kuala Lumpur, Malaysia with regard to the distance of residences from facilities and daily necessary services in the region. The authors conclude that density, land diversity (non-residential land use) and employment influence the distance to facilities, promote walkability and foster the reduced use of cars and fossil fuels.…”

Section: Urban Transportationmentioning

confidence: 99%

Eco-cities: An integrated system dynamics framework and a concise research taxonomy

Tsolakis

Ανθόπουλος

2015

Sustainable Cities and Society

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“…Moreover, Bahrainy and Khosravi (2013), using Iranian new town (Hashtgerd) as case study, have applied multivariate regression analysis to study how under construction environment and urban design qualities (formal-spatial) affect to the walkability and residents' health considering. Maleki and Zain (2011), through partial least square regression model, have identified density, employment, non-residential land use and land diversity as the factors that influence to the distance to facilities in a sustainable efficient residential site design. Furthermore, Cervero (2003) has developed a Walking-choice model to explore the association between walkability and the factors related to street and urban design such as trip purpose, trip distance, slope, rainfall, neighborhood quality and built environment factors.…”

Section: Models Applied So Far To Measure Level Of Walkabilitymentioning

confidence: 99%

A Model for Assessing the Level of Walkability in Urban Neighborhoods in Sri Lanka

et al. 2015

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The quality of the neighboring environment plays a major role in encouraging people to walk when attending their daily needs. Although past studies have identified a relationship between neighborhood design factors and the level of walkability, this interdependence is poorly understood in urban planning in Sri Lanka. The purpose of this study is to determine factors and conditions that influence walkability in a selected neighborhood in the town of Panadura and develop a model to predict what design factors enhance walkability in the neighborhood area. Ninety three (93) factors that affect the walkability in urban neighborhood were identified as the findings of the literature review of this study. Seventy six (76) walkability factors identified through perception surveys were examined within a 100m radius of 70 buffered circles representing 140 participants' residences through a questionnaire survey and field observations. Chi-square and Bivariate correlation analysis were carried out to identify the most decisive factors for walkability. Multiple Linear Regression analysis was applied to develop a model to assess the level of walkability of residents in the selected area based on the most significant factors. The study has identified main nine variables that determine the level of walkability. Based on the significant values the model can be used to assess the level of walkability of the people in Sri Lankan context.

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Factors that influence distance to facilities in a sustainable efficient residential site design

Cited by 24 publications

References 18 publications

Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings

Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings

Eco-cities: An integrated system dynamics framework and a concise research taxonomy

A Model for Assessing the Level of Walkability in Urban Neighborhoods in Sri Lanka

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