| 摘要: |
| 人才是促进城市社会经济转型发
展的重要因素。在文献分析的基础上，以杭
州市为实证，应用核密度分析法对2000年、
2010年、2016年杭州市的人才规模和空间格
局进行计算分析。结果显示：杭州市的人才
规模具有“先快后慢”的增长趋缓特征；人
才分布格局具有从“单中心结构”向“多中心
结构”演化的趋势；城市中心区是各年龄阶
段人才的高度集聚区域，同时城市外围空间
已成为人才规模增长与空间集聚的主要区
域。进一步判断：城市地理空间对人才集聚
格局具有重要的影响作用；城市重要的研究
型大学、创新型企业和政策措施等对人才集
聚起到明显的促进作用并使城市外围的人才
分布表现出显著的空间分异特征。在此基础
知识型城市视角下的城市人才空间集聚格局研究
——以杭州市为例
王纪武 刘妮娜 WANG Jiwu. LIU Nina
Research on the Urban Talent Population Distribution from the Perspective of KnowledgeBased Urban Development: A Case Study in Hangzhou City
中图分类号 TU984.11+3
文献标识码 B
文 章 编 号 2095-6304(2020)02-89-08
作者简介
王纪武（通讯作者）：浙江大学建筑工程学院，副
教授，wangjiwu@zju.edu.cn
刘妮娜：浙江大学建筑工程学院，博士研究生
上，对促进城市人才规模增长、优化人才分布格局以及创新发展提出相应的空间对策建议。 |
| 关键词: 知识型城市 人才集聚 空间格局 空间对策 |
| DOI：10.13791/j.cnki.hsfwest.20200212 |
| 分类号: |
| 基金项目: |
|
| Research on the Urban Talent Population Distribution from the Perspective of KnowledgeBased Urban Development: A Case Study in Hangzhou City |
|
WANG Jiwu,LIU Nina
|
| Abstract: |
| Social development has gradually transformed from an industrial society to a
knowledge-based society, regarding innovation development as the basic organization and
development form of a knowledge-based society. The creation, dissemination, and application
of knowledge are important operating mechanisms for knowledge-based cities. Continuous
innovation and knowledge renewal are essential for the orderly development of cities. Talents
are an important carrier of the flow of knowledge elements, that is, talents play a key role in
building a knowledge-based city, and is an important factor to promote social and economic
transformation and development. As a carrier and creator of knowledge and innovation, the
spatial distribution of talents will affect the spatial structure of knowledge-based cities. The
concentration of talents has significant particularity and complexity, and is of great significance
to China’s socio-economic innovation and development. Related research is mainly based on
the perspectives of different disciplines, with a focus on the impact of certain factors on the
concentration of talents. From the perspective of spatial planning, the research on the growth of
urban talent scale and the evolution of spatial structure is still lacking. Therefore, on the basis
of literature analysis, taking Hangzhou City as an example, this paper analyzes the population
growth and spatial pattern of talent scale from 2000 to 2016 by using nuclear density analysis.
Studying the spatial process and rules of talent agglomeration, and providing support for
urban spatial planning and construction can effectively organize the flow and agglomeration
of talents and then promote the development and construction of knowledge-based cities based
on innovative development. The study finds that: 1) The speed of talent population growth
is getting slow, and the trend of slower growth of talents in urban central areas is relatively
obvious. 2) The concentration of talents shows regular development characteristics at the
geospatial level, and its distribution pattern has experienced the same development process as
the general urban space growth. The distribution pattern of talents has the trend of evolving from “single center structure” to “multi center structure”. While the concentration of talents has a multi-center development trend, the size of the
concentration of talents is significantly different in different directions. 3) There is an imbalance between the high concentration of talents in
the central area and the high concentration of innovation platform at urban fringe. On the one hand, the central area of the city is the core area
of the multi-center distribution structure of talents. On the other hand, most of the innovation and development platforms are located outside the
city. Urban central area is a highly concentrated area of talents, and urban fringe has become the main area for the growth of talents. Further
judgements are put forward, and we think that urban geographical space plays a very significant role in the pattern of talents gathering, the main
university, innovative enterprises and policy measures of the city also play an important role in promoting talent agglomeration. In the process of
promoting the accumulation of talents and implementing the related spatial planning for innovative development, targeted research is also required
from the micro perspective (spatial movement characteristics of individual talents) and the current status of urban innovation and development
resources. Then we give some spatial suggestions on promoting the growth of urban talent population, optimizing the distribution pattern of
talents to push innovation-driven development. Firstly, it is necessary to guide the formation of a polycentric structure for talent gathering. Active
allocation of urban space resources, targeted guidance and promotion for talents to form a multi-center distribution structure are important space
strategies to achieve the continuous growth of talents and to promote urban innovation and development. Research universities and innovative
enterprise clusters are important areas for the development of talents. Therefore, cities should pay attention to the planning and construction of
knowledge production space in the periphery of the city. In response to the preference of innovative talents, some measures should be taken to
increase cities’ attractiveness to innovative talents, like optimizing transportation, improving related supporting service facilities, and implementing
housing subsidies. Secondly, city should make full use of the stock space in the urban center. The urban central area is a highly concentrated area
of innovative talents. In the process of Hangzhou’s innovation development, it is possible to cultivate or develop innovation platforms (spaces) in
urban central areas through urban renewal or transformation, relying on low-efficiency land, and promote the innovation of urban areas through
the of industry-city integration. This is not only conducive to revitalize the city center’s stock space, but also can show its highly concentrated
resources of talent advantages. It is a balance of “stock optimization” and “innovative development”. |
| Key words: Knowledge-Based Urban Talent Aggregation Spatial Pattern Spatial Countermeasure |
