ESRC/CASS Urban Transformations - Urban Development, Migration, Segregation and Inequality

ESRC/CASS 城市转型 - 城市发展、移民、隔离和不平等

• 批准号: ES/N007603/1
• 负责人: Ya Ping Wang
• 金额: $ 16.69万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FN007603%2F1
• 关键词: ESRC; CASS; Urban; Transformations; Development

Urbanization and urban transformation in China is one of the most important aspects of global development in the 21st century. The fast speed of changes and the complexity of development in major Chinese cities pose a great challenge to urban researchers in China. This proposed International Centre Partnership will bring together researchers from three leading urban research organisations: the Urban Big Data Centre at University of Glasgow, the Applied Quantitative Methods Network at University of Sheffield, and the Institute of Urban and Environmental Studies at CASS. It will conduct collaborative and comparative research on three important and interrelated urban development issues of migration, segregation and inequality, and will make significant contributions in research findings, new methods, theoretical development and policy impact.This partnership will fulfil the core aim of the Newton Fund, trough the development of close scientific and innovative research collaboration and promoting the economic development and welfare of Chinese people, especially the 250 million migrant workers living in cities and towns. In order to achieve the above aim and project objectives, our partnership activities will include research training through workshops, summer school and international symposium with people mobility in both directions in every year; a series of collaborative and innovative pilot research projects; and several important knowledge exchange and impact events and activities to influence future research agenda and government policy development.The partnership include a total of 27, from University of Glasgow, University of Sheffield, and Institute of Urban and Environmental Studies of Chinese Academy of Social Sciences. It will involve a large number of other researchers, early careers and PhD students from these institutions and beyond, and government officials, policy makers, and civil society representatives.

中国的城市化和城市转型是21世纪全球发展的重要方面之一。中国主要城市变化的速度之快和发展的复杂性给中国城市研究者提出了巨大的挑战。这个拟议中的国际中心伙伴关系将汇集来自三个主要城市研究机构的研究人员：格拉斯哥大学的城市大数据中心、谢菲尔德大学的应用定量方法网络和中国社会科学院城市与环境研究所。它将对移民、隔离和不平等这三个重要和相互关联的城市发展问题进行协作和比较研究，并将在研究成果、新方法、理论发展和政策影响方面作出重大贡献。这一伙伴关系将实现牛顿基金的核心目标，通过发展密切的科学和创新研究合作，促进经济发展和中国人民的福祉，特别是2.5亿生活在城镇的农民工。为了实现上述目标和项目目标，我们的合作活动将包括通过研讨会、暑期学校和国际研讨会进行研究培训，每年都有人员双向流动；一系列合作和创新的试点研究项目；以及一些重要的知识交流和影响事件和活动，以影响未来的研究议程和政府政策制定。合作伙伴包括来自格拉斯哥大学、谢菲尔德大学和中国社会科学院城市与环境研究所的27所大学。它将涉及来自这些机构及其他机构的大量其他研究人员、早期职业和博士生，以及政府官员、决策者和民间社会代表。

项目成果

Mapping the annual dynamics of cultivated land in typical area of the Middle-lower Yangtze plain using long time-series of Landsat images based on Google Earth Engine

基于Google Earth Engine的Landsat长时间序列影像绘制长江中下游平原典型区耕地年动态

• DOI: 10.1080/01431161.2019.1673917
• 发表时间: 2020-02-16
• 期刊: INTERNATIONAL JOURNAL OF REMOTE SENSING
• 影响因子: 3.4
• 作者: Jin, Yuhao;Liu, Xiaoping;Zhang, Han
• 通讯作者: Zhang, Han

Mismatch distribution of population and industry in China: Pattern, problems and driving factors

• DOI: 10.1016/j.apgeog.2018.05.021
• 发表时间: 2018-08-01
• 期刊: APPLIED GEOGRAPHY
• 影响因子: 4.9
• 作者: Guan, Xingliang;Wei, Houkai;Su, Hongjian
• 通讯作者: Su, Hongjian

Assessment on the urbanization strategy in China: Achievements, challenges and reflections

中国城镇化战略评估：成就、挑战与反思

• DOI: 10.1016/j.habitatint.2017.11.009
• 发表时间: 2018-01-01
• 期刊: HABITAT INTERNATIONAL
• 影响因子: 6.8
• 作者: Guan, Xingliang;Wei, Houkai;Su, Hongjian
• 通讯作者: Su, Hongjian

(De-)Activating the growth machine for redevelopment: The case of Liede urban village in Guangzhou

(去)激活再开发增长机器：以广州猎德城中村为例

• DOI: 10.1177/0042098017729788
• 发表时间: 2018-05-01
• 期刊: URBAN STUDIES
• 影响因子: 4.7
• 作者: Guo, Youliang;Zhang, Chengguo;Li, Xun
• 通讯作者: Li, Xun

Driving forces of population change following the Canterbury Earthquake Sequence, New Zealand: A multiscale geographically weighted regression approach

• DOI: 10.1002/psp.2583
• 发表时间: 2022-06
• 期刊: Population, Space and Place
• 作者: Jessica L. Colbert;Katarzyna Siła-Nowicka;Jing Yao