A DECISION SUPPORT TOOL ON DERELICT BUILDINGS FOR URBAN REGENERATION

被引:2
作者
Blecic, I. [1 ]
Cecchini, A. [2 ]
Minchilli, M. [2 ]
Tedeschi, L. F. [2 ]
Trunfio, G. A. [2 ]
机构
[1] Univ Cagliari, Dept Civil & Environm Engn & Architecture, Via Santa Croce 67, I-09126 Cagliari, Italy
[2] Univ Sassari, Dept Architecture Design & Urban Planning, Piazza Duomo 6, I-07041 Alghero, Italy
来源
3RD INTERNATIONAL CONFERENCE ON SMART DATA AND SMART CITIES | 2018年 / 4-4卷 / W7期
关键词
derelict properties; urban regeneration; decision support system; multi-criteria evaluation; walkability; evolutionary search; GENETIC ALGORITHM; MODEL;
D O I
10.5194/isprs-annals-IV-4-W7-19-2018
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
We present a decision suppport tool for the comparison and selection of projects of integrated renovation of derelict buildings and areas for the purpose of urban regeneration. Each project is defined as a subset of derelict properties to renovate together with their respective designated use, and is scored by the decision support tool on two criteria: expected effort and estimated effectiveness in terms of improved urban capabilities in the urban area of interest. The expected effort is estimated as a global transformation cost, factoring in legal and management overhead costs as well as possible economies of scale. The effectiveness in evaluated in terms of extension of urban capabilities centred on walkable distances. We have implemented a bi-objective evolutionary search algorithm to address the computational complexity of the problem of search for efficient (non-dominated) projects over the two criteria. For the purpose of illustration, we present an example case-study application on the historical core of the city of Sassari, Italy
引用
收藏
页码:19 / 25
页数:7
相关论文
共 23 条
[1]   GPU-accelerated multi-objective optimization of fuel treatments for mitigating wildfire hazard [J].
Arca, Bachisio ;
Ghisu, Tiziano ;
Trunfio, Giuseppe A. .
JOURNAL OF COMPUTATIONAL SCIENCE, 2015, 11 :258-268
[2]   Smart cities of the future [J].
Batty, M. ;
Axhausen, K. W. ;
Giannotti, F. ;
Pozdnoukhov, A. ;
Bazzani, A. ;
Wachowicz, M. ;
Ouzounis, G. ;
Portugali, Y. .
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2012, 214 (01) :481-518
[3]  
Blecic I., 2013, City project and public space, P269, DOI [10.1007/978-94-007-6037-0_17, DOI 10.1007/978-94-007-6037-0_17]
[4]   A decision support tool coupling a causal model and a multi-objective genetic algorithm [J].
Blecic, Ivan ;
Cecchini, Arnaldo ;
Trunfio, Giuseppe A. .
APPLIED INTELLIGENCE, 2007, 26 (02) :125-137
[5]   Computer-Aided Drafting of Urban Designs for Walkability [J].
Blecic, Ivan ;
Cecchini, Arnaldo ;
Trunfio, Giuseppe A. .
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT IV, 2017, 10407 :695-709
[6]   Evaluating walkability: a capability-wise planning and design support system [J].
Blecic, Ivan ;
Cecchini, Arnaldo ;
Congiu, Tanja ;
Fancello, Giovanna ;
Trunfio, Giuseppe A. .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2015, 29 (08) :1350-1374
[7]  
Coello C. A. C., 2007, Evolutionary algorithms for solving multi-objective problems, V5
[8]  
Coello CAC, 2010, MULTIOBJECTIVE COMBI, P1
[9]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[10]  
Goldberg D., 1998, GENETIC ALGORITHMS E