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Benson, Earl D.; Hansen, Julia L.; Schwartz, Arthur L.; Smersh, Greg T.

doi:10.1023/a:1007785315925

Cited by 388 publications

(50 citation statements)

References 11 publications

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“…The quality of living space and with it its cost is influenced by the view it offers on surrounding landmarks (Benson et al, 1998;Thalmann, 2010). In recognition of the demand for computer tools that inform planners, architects, and building contractors, previous attempts exist to visualize or quantify this view in computer models.…”

Section: Landmark View Factormentioning

confidence: 99%

“…A further implication is that the view on, e.g., surrounding landmarks is very limited. Such a view influences in turn the prices of buildings or flats within these buildings, at which building contractors can sell them to owner-occupants (Benson et al, 1998;Thalmann, 2010). Inspired by these shortcomings, a second practical question aims at aspects of livability rather than the energy system and its economic and environmental effects: what are the implications of the decisions of the planners regarding density and park targets on the resulting urban form assuming that the building contractors try to maximize the view of all buildings?…”

Section: Influence Of Density and Share Of Parks On Landmark View Andmentioning

confidence: 99%

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The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Schüler

Cajot

Peter

et al. 2018

Front. Built Environ.

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This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not only subject to decisions of planners but also to those of many actors, the insight about how different actors would decide based on the decisions of the planners should enable planners to already adapt their decisions to ensure that final project targets are reached. The existence of different decision makers is considered via a multiparametric mixedinteger linear programming (mpMILP) approach. Along with the methodology a model was developed, which incorporates multiple domains and scales. Those domains include social, environmental, form, energy, and economic aspects. The considered scales range from single floors up to a neighborhood. Model and methodology were applied to a greenfield development project. Two practical questions are answered, which address the impact of planning decisions about (a) the building density and the sustainability of the energy supply on costs of different actors and (b) the building density and the share of parks on the view on a landmark. The capturing of the decision space revealed trade-offs in terms of chosen energy supply system and urban form, respectively. The presented computational method forms part of the decision support tool URB io , which shall assist urban planning.

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Section: Landmark View Factormentioning

confidence: 99%

Section: Influence Of Density and Share Of Parks On Landmark View Andmentioning

confidence: 99%

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Schüler

Cajot

Peter

et al. 2018

Front. Built Environ.

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“…The hedonic model was tested to determine the value impairment of different pollution sources ( (Benson et al, 1998), (Chan & Cin, 2002), (Chuti, 2011) and others). Hajnal, in his case study (Hajnal, 2012), analysed a 69-element sample on mobile telephone transmitter towers and found that, among the coefficients, the time of the transaction, the area and quality of the real estate and among the pollution factors, the visibility of the tower, are significant.…”

Section: With Comparisonsmentioning

confidence: 99%

Value Impairment of Contaminated Real Estate

Horváth¹,

Hajnal²

2014

Period. Polytech. Soc. Man. Sci.

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IntroductionEnvironmental awareness has become part of everyday life: both ordinary people and science are more sensitive to pollution. Related disciplines examine in detail the effects of different damage caused by particular pollution sources on the population, the environment and the economy. However, scientific attention has not yet turned towards the real estate sector. The effects of pollution sources on the market value of surrounding real estate have not yet been explored. Presently, no suitable set of methods is available for experts in Central Europe to obtain reliable estimates of the effects of a given pollution on real estate value. Unfortunately, land value impairment factors are excluded in environmental impact studies on the remediation of pollution sources, while, contradictory, and more often, excessive valuations are published in ensuing legal disputes.The matter is not only topical because of the enforcement of environmental awareness; not only because new developments are necessarily established in already damaged environments, but also because real estate owners have realised the negative influence of different pollution sources on its market value, and have many of them have claimed for indemnity or compensation 1 . Quantifying the amount of impairment of real estate is an important task even at the national economic level, as without such information there is no basis for making responsible decisions.International real estate practice provides numerous methods for the valuation of contaminated or impacted real estate. These methods are to be chosen and applied according to such factors as the form and site of the pollution, as well as available data and other factors. In their article, Throupe and his co-writers believe that a general real estate appraiser is a professional akin to a general medical practitioner, while ascertaining the value of contaminated property is like brain surgery (Throupe et al, 2007).1 In the newest edition of the game of Monopoly, residential houses lose their value because of poisonous land improvements built on neighbouring properties, which models the spread of the problem into public awareness.

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“…Many previous studies (e.g., Jacobs, 1941;Li & Brown, 1980;Colwell et al, 2000;Boyle & Kiel, 2001;Din et al, 2001) have supported this. For example, in the United States, water views of varying quality and type add different premiums for waterside properties (Benson et al, 1998). In New Zealand, a property can be sold at a 37% premium in the presence of attractive buildings in the vicinity (Bourssa et al, 2004).…”

Section: Externalities In the Property Marketmentioning

confidence: 99%

Does comprehensive redevelopment change the housing price gradient? A case study in Mongkok, Hong Kong

Yau¹

2011

Urbani izziv

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Untitled

Cited by 388 publications

References 11 publications

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Value Impairment of Contaminated Real Estate

Does comprehensive redevelopment change the housing price gradient? A case study in Mongkok, Hong Kong

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