CITIES' SUSTAINABLE DEVELOPMENT: REVEALING INTERPROJECT SYNERGIES AND TRADE-OFFS AND MAKING THEM MANAGEABLE

被引:0
|
作者
Anastasiya, Bozhya-Volya [1 ]
Elena, Tretiakova [2 ]
Oleg, Bartov [2 ]
机构
[1] HSE Univ, Dept Management, 38,Studencheskaya St, Perm 614070, Russia
[2] Perm State Natl Res Univ, 15 Bukireva Str, Perm 614068, Russia
关键词
sustainable development; synergy and trade-off; affordable housing; sustainable transport; sustainable urbanization; correlation network analysis; MAPPING SYNERGIES; URBAN-DEVELOPMENT; INDICATORS; FRAMEWORK;
D O I
10.17323/1999-5431-2023-0-5-130-146
中图分类号
C93 [管理学]; D035 [国家行政管理]; D523 [行政管理]; D63 [国家行政管理];
学科分类号
12 ; 1201 ; 1202 ; 120202 ; 1204 ; 120401 ;
摘要
The city's strategy should take into account not only the priorities of increasing investment competitiveness and the improvement of citizens' well- being, but also the issues of sustainable development. Sustainable development of cities has been the subject of active discussion in recent years. Th is article proposes four modernized directions for sustainable urban development, which correspond not only to the UN Sustainable Development Goals ( SDGs) (particularly SDG 11), but also to the original directives of local authorities. These directions include affordable housing, accessible and sustainable transportation systems, sustainable urbanization, and the environmental impact of cities. We developed a methodology for estimating synergies and trade-off s between and within these directions using correlation network analysis with the causality of the indicators and the lags of years. We tested this methodology by estimating the synergies and tradeoff s in the sustainable development of the thirteen largest cities between 2015 and 2019. Th e results of the correlation network analysis are offered as a weighted directed network correlation graph. Our findings could be implemented by local authorities in the form of a Gantt chart for the optimal order of sustainable urban developmentthat could be based on the network correlation graph.
引用
收藏
页码:130 / 146
页数:17
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