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Urbani izziv Volume 17, No. 1–2, December 2006 : 204–207

(Nature and planning)
doi: 10.5379/urbani-izziv-en-2006-17-01-02-009

 

   Article in PDF format

 

Author

Damjana GANTAR

Urban Planning Institute of the Republic of Slovenia, Ljubljana, Slovenia
damjana.gantar@uirs.si

Mojca GOLOBIČ

Urban Planning Institute of the Republic of Slovenia, Ljubljana, Slovenia
mojca.golobic@uirs.si

 

Title

Screenplays: From knowledge to devicing policies

 

Abstract

Public policies and related interventions cause diverse territorial impacts; intended and wanted as well as lateral, indirect and unwanted ones. Strategic impact assessments are commonly used to identify and assess these impacts. Besides, the main intention of impact assessments is to influence and optimize the policy actions in terms of their impacts. Forecasting of future development and identification of impacts is a complex task, charged with uncertainties, which requires resourceful use and combination of different tools. Scenarios are among the most effective forecasting, communication and policy design tools. The paper presents the use of scenarios in a strategic environmental impact assessment for a high speed rail in Slovenia. Scenarios were used as an input for environmental vulnerability modelling. Acceptability of environmental costs brought about by planned intervention can only be assessed based on knowledge about the changes/benefits.

 

Key Words

high speed railway, scenarios, strategic environmental impact assessment, traffic policy impact assessment

 

 

 

PUBLISHER

Urbanistični inštitut RS
Urbani izziv - Editorial Board
Trnovski pristan 2, 1000 Ljubljana, SLO

  + 386 (0)1 420 13 10
  urbani.izziv@uirs.si

ISSN

Print edition: 0353-6483
Web edition: 1855-8399

INDEX

GOOGLE SCHOLAR
h5-index: 14
h5-median: 20
INDEX COPERNICUS
ICI Journals master list 2020: 120,87
CLARIVATE ANALYTICS
Indeksirano v ESCI

 

SCOPUS ELSEVIER

SCImago Journal & Country Rank

1.7
2021CiteScore
 
88th percentile
Powered by  Scopus

SNIP (2020): 0.79
CiteScoreTracker (2022): 1.8

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