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Urbani izziv Volume 26, No. 2, December 2015 : 103–116

UDK: 656.01:711(498)
DOI: 10.5379/urbani-izziv-en-2015-26-02-002

 

   Article in PDF format

 

Author

Lucian-Ionut ROSU

Alexandru Ioan Cuza University, Faculty of Geography and Geology, Department of Geography, Iași, Romania
lucianrosu@ymail.com

Alexandra BLĂGEANU

Alexandru Ioan Cuza University, Faculty of Geography and Geology, Department of Geography, Iași, Romania
alexandrablageanu@gmail.com

 

Title

Evaluating issues and performance of a public transport network in a post-communist city using a quantitative spatial approach

 

Abstract

The urban dynamics in eastern Europe after the fall of communism (seen as a consequence of the changes generated by the transition to a new ideology) have highlighted deficiencies in local public services, including the public transport system. To identify and illustrate the shortcomings of a public transport system from this region, we analysed the transport network of Iaşi (Romania) by taking into consideration various dimensions of efficiency. Partial indicators were used as input for a geospatial analysis and to create complex indicators, which can be used both as tools to measure the performance of a public transport network and as instruments to evaluate the local administration and decision-makers. The results highlight the performance level of the transport network analysed, revealing a core-periphery structure (in the context of a polynucleated city) resulting from relics of the communist period. A GIS analysis was used to assess the efficiency of the public transport network in order to identify and visualise strengths and weaknesses in the local transport system.

 

Key Words

performance measurement, public transport assessment, geospatial analyses, clustering analysis, Iaşi

 

 

 

 

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: 13
h5-median: 18
INDEX COPERNICUS
ICV 2017: 121,77
CLARIVATE ANALYTICS
Indexed in ESCI


SCOPUS ELSEVIER

SCImago Journal & Country Rank

SNIP: 0,3 (Quartile: Q2)
IPP: 0,29

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