A futures study into identifying the driving forces in neighborhood-based management using good urban governance, the case of Region 2 in Tabriz, Iran

IF 0.6 Q4 REGIONAL & URBAN PLANNING Town and Regional Planning Pub Date : 2020-06-29 DOI:10.18820/2415-0495/trp76i1.6
Seyedeh-Samira Shafiee-Masuleh, Seyed Reza Shafiee Masouleh, Marzieh Rastad Borujeni
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Abstract

This article investigates the use of futures studies to predict the implemention of a new approach to neighbourhood-based management, emphasising good urban governance components in the planning and management of the Tabriz metropolis, Iran. Using a qualititative approach, the Delphi technique, comprising two rounds, was used to identify the initial and key factors that affect the realisation of neighbourhoodbased management. Using questionnaires, in Round 1, participants answered one question on what they predict the key factors for good urban governance are and, in Round 2, they weighted the 48 identified initial factors from Round 1 in a matrix, on an 4-point Likert scale, to determine the influence on each factor. Cross-impact analysis of the influence data were extracted by MICMAC software and results showed 17 driving forces (eight in accountability, five in equity, two in transparency and one in participation) that will predict the realisation of good neighbourhood-based management in the planning and management of the Tabriz metropolis. Findings showed that futures studies can be used as a new approach to accurately identify the driving forces for good urban governance with the realistic use of the capabilities of the community.
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利用良好城市治理确定社区管理驱动力的未来研究,以伊朗大不里士2区为例
本文调查了使用未来研究来预测社区管理新方法的实施情况,强调了伊朗大不里士大都市规划和管理中良好的城市治理组成部分。使用定性方法,德尔菲技术,包括两轮,用于确定影响实现基于社区的管理的最初和关键因素。在第一轮中,参与者使用问卷回答了一个问题,即他们预测良好城市治理的关键因素是什么。在第二轮中,他们在4点Likert量表的矩阵中对第一轮中确定的48个初始因素进行加权,以确定对每个因素的影响。MICMAC软件提取了影响数据的交叉影响分析,结果显示,17种驱动力(8种是问责制,5种是公平性,2种是透明度,1种是参与性)将预测在大不里士大都市的规划和管理中实现良好的邻里管理。研究结果表明,未来研究可以作为一种新的方法,通过现实地利用社区的能力,准确地确定良好城市治理的驱动力。
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来源期刊
Town and Regional Planning
Town and Regional Planning REGIONAL & URBAN PLANNING-
CiteScore
0.80
自引率
20.00%
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0
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