‘Hot cities’ and their experiences and planning for rapid growth: An analysis of strategic planning documents

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Robert Hammarberg, Linda Highfield, Gretchen Walton, Paige Wermuth, Ann Bowman
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Abstract

City living is the new normal as more than half of the world's population resides in urban areas. How has this transition affected public health and urban planning departments, and how, if at all, are they recognizing its effects in their strategic planning documents? Using publicly available strategic planning documents from public health and urban planning departments among rapidly growing U.S. cities, keyword frequency and keywords-in-context/code frequency analyses were performed to address this question. The results indicated that urban planning departments recognize their city's growth and associated effects more frequently than public health departments. Although not all cities included in the study referenced their rapid population growth in their materials, those that did commonly noted its effects on demographic transition, infrastructure planning, and service delivery. Thus, indicating rapid population growth may impact these areas pertinent to public health and urban planning. Regardless of department, the areas least connected to rapid growth in the documents were budgeting and data; two topics indicated by the literature are important tools to address the effects of rapid population growth, signifying, among other things, the need to better utilize smart city initiatives such as real-time data sharing.

Abstract Image

“热点城市”及其经验与快速发展规划:战略规划文件分析
城市生活是新常态,因为世界上一半以上的人口居住在城市地区。这种转变是如何影响公共卫生和城市规划部门的?如果有的话,他们是如何在战略规划文件中认识到这种影响的?利用快速发展的美国城市公共卫生和城市规划部门提供的公开战略规划文件,对关键字频率和关键字上下文/代码频率进行了分析,以解决这一问题。结果表明,城市规划部门比公共卫生部门更频繁地认识到城市的增长及其相关影响。虽然并非所有参与研究的城市都在其材料中提到了人口的快速增长,但那些提到了人口快速增长的城市普遍指出了其对人口转型、基础设施规划和服务提供的影响。因此,人口的快速增长可能会影响到这些与公共卫生和城市规划有关的领域。无论哪个部门,与文件快速增长联系最少的领域是预算和数据;文献中指出的两个主题是解决人口快速增长影响的重要工具,这意味着,除其他事项外,需要更好地利用智能城市倡议,如实时数据共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
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