Abstract

Urban brownfields are found in all parts of the world. They suffer from a negative image and are generally being viewed as problem areas. However, urban brownfields also offer potentials for new uses and for the ecological regeneration of cities. Strategic decision-making has a long term impact on the quality of life, ecological balance and urban structure. Therefore, the paper is aimed at providing a methodology for selecting the optimal scenario for urban brownfields regarding criteria for urban development and focuses on three possible scenarios representing sustainable urban development in the city. The results of the research are provided as a priority list for each scenario in the context of every neighbourhood of Vilnius city. The obtained results show the scenario optimal for each neighbourhood having the highest priority to implementing solutions in real life. Economic, social, physical (urbanistic) and environmental criteria are considered. Geographic information system (GIS) tools are employed for collecting spatial information, obtaining the initial set of criteria and deriving statistical data. Different MCDA methods, including TOPSIS, EDAS, COPRAS and SAW are used in the research. The correlation between the values of the sets pairs of cumulative criteria for the applied MCDA methods appeared to be satisfactory for the conducted re-search. The developed framework will support the decision-making process in brownfield land redevelopment aiding sustainable urban planning.

Highlights

  • Vilnius city, including its most attractive parts, may face a number of empty or poorly built spaces that need to be exploited

  • The major idea of the MCDA method is to create a cumulative criterion for each alternative, reflecting the attractiveness of the alternative in quantitative terms, expressed in a single number related to each alternative (Brauers et al 2012; Ginevicius et al 2012; Jakimavicius et al 2016; Palevicius et al 2016)

  • As still there is no most prominent MCDA method available, and each method normally yield different results, in order to reduce chances for discrepancies the ultimate result was combined from the four employed methods by using the coefficient of variation of the results obtained by each method keeping in mind

Read more

Summary

Introduction

Vilnius city, including its most attractive parts, may face a number of empty or poorly built spaces that need to be exploited. Different outgrown morally obsolete or unnecessary structures and buildings-ghosts erected in the attractive places in Vilnius start running out of stagnation These processes include private capital the representatives of which require the provision of favourable economic, urban and social conditions for the development of real estate projects. In 2016–2017, the development of real estate in Vilnius changed the direction of investment from the peripheral to central urban areas with advanced engineering, which minimizes construction costs. These areas are becoming increasingly attractive to those urban residents and business entities the travel time factor from the object to the city centre for which is a priority to planning investments. Tal of Lithuania is one of the smallest in comparison with other modern Western European and even Lithuanian cities: Vilnius has plenty of vacant non-urbanized areas (9.9 km2) that can be used for projects on area regeneration and conversion considering precisely defined and important strategic planning criteria for city inhabitants and investors

Descriptions of conversion scenarios and examined territorial units
System of criteria
The initial stage of MCDA analysis
The SAW method
The COPRAS method
The TOPSIS method
The EDAS method
The results
Methods
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call