Literature DB >> 21960364

Research on the alternatives in a strategic environmental assessment based on the extension theory.

Jing Du1, Yang Yang, Ling Xu, Shushen Zhang, Fenglin Yang.   

Abstract

The main purpose of a strategic environmental assessment (SEA) is to facilitate the early consideration of potential environmental impacts in decision-making processes. SEA alternative identification is a core issue within the SEA framework. However, the current methods of SEA alternative formulation and selection are constrained by the limited setting range and lack of scientific evaluation. Thus, the current paper attempts to provide a new methodology based on the extension theory to identify a range of alternatives and screen the best one. Extension planning is applied to formulate a set of alternatives that satisfy the reasonable interests of the stakeholders. Extension priority evaluation is used to assess and optimize the alternatives and present a scientific methodology for the SEA alternative study. Thereafter, the urban traffic plan of Dalian City is used as an example to demonstrate the feasibility of the new method. The traffic planning scheme and the environmental protection scheme are organically combined based on the extension theory, and the reliability and practicality of this approach are examined.

Mesh:

Year:  2011        PMID: 21960364     DOI: 10.1007/s10661-011-2383-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Strategic environmental assessment in China: motivations, politics, and effectiveness.

Authors:  Da Zhu; Jiang Ru
Journal:  J Environ Manage       Date:  2007-05-23       Impact factor: 6.789

2.  A methodology for evaluating environmental planning systems: a case study of Canada.

Authors:  Meghan Ellis; Thomas Gunton; Murray Rutherford
Journal:  J Environ Manage       Date:  2010-03-12       Impact factor: 6.789

  2 in total
  1 in total

1.  Land suitability assessment for supporting transport planning based on carrying capacity and construction demand.

Authors:  Long Li; Gaoru Zhu; Dafang Wu; Honglei Xu; Peifang Ma; Jie Liu; Zhaocheng Li; Yinjie He; Chenghui Li; Pan Wu
Journal:  PLoS One       Date:  2021-02-08       Impact factor: 3.240

  1 in total

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