Enabling Multiple Outcomes: Strategic Spatial Planning in a Shrinking City-Region

Author:

Oittinen JanneORCID,Mäntysalo RaineORCID

Abstract

The population of Finland will start to decline in the near future, and most Finnish municipalities are already losing population. Can the tools used for land-use planning, which are historically designed to guide and control growth, be used to guide shrinking? The shrinking city-region of Kotka-Hamina has drafted a city-regional strategic master plan to manage the shrinking. The master plan and its documents are analyzed, and interviews are used to better understand how the plan is trying to achieve its objectives. The master plan is currently growth-oriented and used as a tool for place marketing. According to the interviews, growth is not essential to implement the plan. As a tool, it strives to show the potential of the city-region. The master plan guides future land use to denser areas and enables industry. Learning from this case study, strategic land-use planning can be seen as a feasible tool to manage shrinking, and the master plan hints at how that might be done, although it does need improvement. Since land-use planning has country-specific characteristics, the research findings may not be directly transferable to other planning systems. However, the findings may offer ideas on how planning tools can be adapted to similarly challenging conditions. The possibility of what strategic spatial planning has to offer in a shrinking context should be researched more to enable the development of planning tools that would be more usable in shrinking conditions.

Publisher

Cogitatio

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3