Neighborhood Sustainability Assessment:  Evaluating Residential Development Sustainability in  a Developing Country Context

Yiğitcanlar, Tan; Kamruzzaman, Md.; Teriman, Suharto

doi:10.3390/su7032570

Cited by 110 publications

(73 citation statements)

References 67 publications

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“…lnhousingp it " c`β 1 lngdpp it`β2 unemploy it`β3 popgrowth it`β4 lnpopdensity it β 5 lnlandp it`β6 lninvest it`β7 lncollege it`β8 lnprimary it β 9 lnbook it`β10 lnhospital it`β11 lnrail it`αi`εit (1) where the subscript i indexes cities, α i denotes an individual specific effect term and ε it the error term. Panel data are also called cross-sectional time-series data.…”

Section: Econometric Model Specificationmentioning

confidence: 99%

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Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

et al. 2016

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Urban rail transit facilities play a critical role in citizen's social activities (e.g., residence, work and education). Using panel data on housing prices and urban rail transit facilities for 35 Chinese cities for 2002 to 2013, this study constructs a panel data model to evaluate the effect of rail transit facilities on housing prices quantitatively. A correlation test reveals significant correlations between housing prices and rail transit facilities. Empirical results demonstrate that rail transit facilities can markedly elevate real estate prices. Quantitatively, a 1% increase in rail transit mileage improves housing prices by 0.0233%. The results highlight the importance of other factors (e.g., per capita GDP, land price, investment in real estate and population density) in determining housing prices. We also assess the effects of expectations of new rail transit lines on housing prices, and the results show that expectation effects are insignificant. These findings encourage Chinese policy makers to take rail transit facilities into account in achieving sustainable development of real estate markets.

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Section: Econometric Model Specificationmentioning

confidence: 99%

“…In recent decades, residential conditions have been a critical factor of the formation of sustainable cities [1]. Vast price bubbles in real estate markets increase the risk of bubbles bursting, which may damage the sustainable urban development.…”

Section: Introductionmentioning

confidence: 99%

Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

et al. 2016

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“…Some put forward methods of calculating carbon emission through studying energy consumption and carbon emissions and proposed corresponding measures for reducing energy consumption and carbon emissions (Fan et al, ; Niu et al, ; Qi, Zhang, & Karplus, ; Wang & Yang, ). Considering that only quantifying carbon emissions is insufficient to draw a complete picture, some studied the well‐known neighborhood sustainability assessment (NSA) tools, such as LEED‐ND, BREEAM for Communities and CASBEE‐UD, to put forward an applicable NLCA indicator system (Lee & Burnett, ; Reith & Orova, ; Sharifi & Murayama, ; Yigitcanlar, Kamruzzaman, & Teriman, ). However, the studies of the rural NLCA system have not been fully considered in comparison to those in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Low‐carbon evaluation of rural neighborhood: A case study of Yanhe Village, Hubei Province, China

Zhao

et al. 2018

Growth and Change

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Climate change has become a global issue influencing human survival and development while low‐carbon is the inevitable choice. As the world’s largest emitter of greenhouse gases, China has become an important force that influences the cooperation of climate change. China is a large agricultural country, and the rural carbon emissions have been gradually increasing. We consider rural neighborhood as an important space for the use of low‐carbon ideas to address climate change. There is no specific assessment system for a rural neighborhood. The studies of rural neighborhood low‐carbon mainly focus on the method of calculation carbon emissions. However, only quantifying rural carbon emissions is insufficient. In this paper, a low‐carbon evaluation indicator system has been proposed for rural neighborhood and Fuzzy Comprehensive Evaluation has been applied to get the low‐carbon degree. Considering the influence and feedback inside the indicator system, Analytic Network Process was applied to get the weights. Furthermore, a case study was carried out for the using of the proposed method in an eco‐village of China. Our practice has proved that the system is easy to operate in rural neighborhood.

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“…The proposed multiscale approach in Yigitcanlar et al (2015a) provides a more accurate view of the environmental sustainability assessment of urban areas, one of the central perspectives when dealing with urban sustainability. There are two systems of sustainability indicators: MUSIX (Urban Ecosystem Sustainability Index Micro Level) Yigitcanlar 2014, 2016), and ILTIM (Model of Transportation Indexing and Integrated Soil Use at Neighbourhood Level) (Dur et al 2014;Dur and Yigitcanlar 2015).…”

Section: City Prosperity Index (Cpi)mentioning

confidence: 99%

Knowledge-based, smart and sustainable cities: a provocation for a conceptual framework

Chang

Marques

Costa

et al. 2018

Journal of Open Innovation: Technology, Market, and Complexity

Self Cite

101

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The smart and sustainable cities concept has become a globally hot topic during the last few decades, particularly following the catastrophic impacts of global climate change. The assessment of smart and sustainable cities, however, is a major challenge due to complex, complicated, and chaotic nature of our cities. This makes the available monitoring and evaluation tools difficult to adopt and apply in different urban contexts to support urban planning and governance and foster evidence-based policymaking. In order to address this issue, the paper brings together knowledge-based development concept with smart and sustainable cities. Knowledge-based development is a vision of development that considers knowledge as the central structuring element of a development strategy. Similarly, its more territory focused version, knowledge-based urban development is an integrated approach for the transition of cities and regions into sustainable, liveable and prosperous localities. The methodological approach of the paper includes the review of the literature on existing approaches on smart and sustainable cities assessment, describing their main aspects, strengths and limitations, and discuss the potential contribution of a knowledge-based urban development strategy for the successful promotion of smart and sustainable cities, presented in a proposed conceptual framework.

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Neighborhood Sustainability Assessment: Evaluating Residential Development Sustainability in a Developing Country Context

Cited by 110 publications

References 67 publications

Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

Low‐carbon evaluation of rural neighborhood: A case study of Yanhe Village, Hubei Province, China

Knowledge-based, smart and sustainable cities: a provocation for a conceptual framework

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