Generating and evaluating alternative regional development plans

Shefer, Daniel; Amir, Shaul; Frenkel, Amnon; Law-Yone, Hubert

doi:10.1068/b240007

Cited by 6 publications

(3 citation statements)

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“…In order to generate the set of alternative scenarios to be appraised, it is mandatory to identify and clearly define short-term goals, long-term objectives, and finally reach to a consensus among participants (Shefer et al, 1997). Numerous guidelines facilitate this process; the principle is that alternatives should be created that best achieve the values specified for the particular decision situation.…”

Section: Creation Of Alternativesmentioning

confidence: 99%

Decision Aid with the MCDA-RES Software: A Wind-Hydro Energy Application for an Island of the Aegean, Greece

Polatidis

Haralambopoulos

Bruinsma

et al. 2009

Energy Sources, Part B: Economics, Planning, and Policy

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Energy planning refers to providing sufficient power to human societies while at the same time underlies resource, economic environmental, social and technological constraints. The complexity of the task renders multi-criteria decision analysis techniques a useful tool in the decision process. Multi-criteria decision analysis techniques offer a transparent way of elaborating on decision problems, which include many criteria and different decision-makers. This article presents the MCDA-RES multi-criteria decision-analysis software and its application in a case-study regarding a wind-hydro hybrid energy project for an island in Greece where the performance of alternatives on a set of different criteria and the preference of the decision-makers is assessed. The analysis showed that no group consensus could be directly established; still some alternatives performed better than others and a way towards a compromise solution could be revealed.

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Section: Creation Of Alternativesmentioning

confidence: 99%

Decision Aid with the MCDA-RES Software: A Wind-Hydro Energy Application for an Island of the Aegean, Greece

Polatidis

Haralambopoulos

Bruinsma

et al. 2009

Energy Sources, Part B: Economics, Planning, and Policy

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“…This phenomenon was linked to the availability of land for the expansion of firms, the development of physical infrastructure and communications systems, and the relative proximity of these areas to a large pool of highly skilled labour residing on the outskirts of the metropolitan area. A new outline and development plan was prepared for the Northern region in the early 1990s (Shefer et al, 1997). The strategic development concept suggested by the plan is to stop the urban sprawl of the Haifa metropolitan area by concentrating the main development effort in the Central Galilee-i.e.…”

Section: The Study Areamentioning

confidence: 99%

Why High-technology Firms Choose to Locate in or near Metropolitan Areas

Frenkel

2001

Urban Studies

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Various studies have provided evidence of the advantages of the ability of metropolitan areas to attract hi-tech industries, which employ advanced technology and are strongly involved in the process of innovation. This paper presents the results of an empirical study of the location choice of Israeli hi-tech industries within a metropolitan area, carried out in the Northern region of Israel (which encompasses the Haifa metropolitan area and its surrounding localities) and based on eld-survey data obtained from hi-tech plants. The study investigates the effect of different factors on location choice and also identi es the direct contribution of each factor to the probability of choosing the metropolitan area as a preferred location. The implications of these ndings for industrial policy are also discussed.

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“…The technique was pioneered in the Netherlands by Voogd, Rietveld and Nijkamp in the late 1970's and early 1980's (Nijkamp 1979;Rietveld 1980;Voogd 1983;. Multicriteria evaluation has been applied from it's simple form (Shefer, Amir, Frenkel & Law-Yone 1997) to complex mathematical forms involving fuzzy logic (Xiang, Gross, Fabos & MacDougall 1992), utility function based optimisation (Malczewski & Orgryczak 1996) and interactive decision support systems (Teghem, Delhaye & Kunsch 1989).…”

Section: Introductionmentioning

confidence: 99%

An Infrastructure Potential Cost Model for Integrated Land Use and Infrastructure Planning

Biermann¹

2003

Planning Support Systems in Practice

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IX GIS buffering analysis GPMC open space network Agricultural Research Institute Council for GeoScience CSIR Valuation roles from metropolitan sub-structures Extrapolation using GIS Water Systems Master Plan-GPMC Strategic Metropolitan Development Framework (1996)-GPMC Metropolitan substructures Strategic Metropolitan Development Framework (1996)-GPMC Pretoria City Council Electricity Department 7.3 Criteria measurement 7 .3.1 Access to employment opportunities An accessibility index was derived for each traffic zone in the study area, based on the transportation cost of accessing all major formal employment areas, weighted by the Water Research Commision 1994a. Wafer and sanitation in urban areas: financial and institutional review. WRC Report no. 571/6/94. Water Research Commission 1994b. An investment-tariff model for urban water supply. Working Paper 15.

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Generating and evaluating alternative regional development plans

Cited by 6 publications

References 0 publications

Decision Aid with the MCDA-RES Software: A Wind-Hydro Energy Application for an Island of the Aegean, Greece

Decision Aid with the MCDA-RES Software: A Wind-Hydro Energy Application for an Island of the Aegean, Greece

Why High-technology Firms Choose to Locate in or near Metropolitan Areas

An Infrastructure Potential Cost Model for Integrated Land Use and Infrastructure Planning

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