IBSS: Multi-Scale Processes Affecting Spatial Population Distributions

IBSS：影响空间人口分布的多尺度过程

• 批准号: 1416860
• 负责人: Deborah Balk
• 金额: $ 100万
• 依托单位: CUNY Baruch College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1416860&HistoricalAwards=false
• 关键词: IBSS; Multi; Scale; Processes; Affecting

This interdisciplinary research project will examine the different demographic, socioeconomic, and geographic factors and processes that influence population levels and distributions at different scales ranging from local to national. The investigators will develop a new, multi-scale modeling framework to assess the relative importance of these factors and processes and increase knowledge regarding how and why the spatial distribution of the human population changes over time. Project results will help improve projections of possible future population change, and they will enhance theories and methods in demography, geography, economics, and sociology as well as in topically focused realms, such as disaster preparedness and environmental change. Project findings will be disseminated broadly through major interdisciplinary and disciplinary journals, while and the methods used to generate them will be made available from long-term publicly accessible repositories.Understanding how and why the spatial distribution of the human population changes over time, both across large geographic regions and at the local scale, is fundamental to a variety of scholarly and policy arenas, including migration, economic development, environmental change, and the spread of infectious disease. A significant obstacle to a holistic understanding of spatial population distribution and change is that the determinants of change act at a range of scales. These scale-dependent determinants interact with one another, complicating both theory and modeling efforts. This research project aims to improve the understanding of the dynamics of spatial population change by bridging geographic scales and scientific disciplines to develop a novel explanatory framework. The investigators will bring together theoretical perspectives from demography, geography, and economics, and they will use those perspectives in the conduct of a multi-scale analysis of spatial population distribution and its determinants in the U.S., Mexico, and India. These sites have been chosen to represent a range of socioeconomic conditions and behaviors as well as a range of data quality and availability. The investigators will assess how spatial population outcomes result from an interrelated set of influences at the national, aggregate urban/rural, city, and local levels, and they will assess how the relative importance of these influences varies across countries at different levels of economic development and within countries by socio-economic conditions, demographic behaviors, and geographic characteristics. Hypotheses will be tested using several decades of spatial population data that will be merged with other economic and demographic and geophysical data in a spatially explicit, quantitative framework. This project is supported through the NSF Interdisciplinary Behavioral and Social Sciences Research (IBSS) competition.

这个跨学科的研究项目将研究不同的人口，社会经济和地理因素和过程，影响人口水平和分布在不同的规模，从地方到国家。 研究人员将开发一个新的多尺度建模框架，以评估这些因素和过程的相对重要性，并增加有关人口空间分布如何以及为什么随着时间的推移而变化的知识。 项目成果将有助于改善对未来可能的人口变化的预测，并将增强人口学、地理学、经济学和社会学以及防灾和环境变化等专题领域的理论和方法。 项目研究结果将通过主要的跨学科和学科期刊广泛传播，而用于产生这些结果的方法将通过长期公开的资料库提供，了解人口的空间分布如何以及为什么随着时间的推移而变化，无论是在大的地理区域还是在地方范围，对于各种学术和政策领域，包括移徙，经济发展、环境变化和传染病的传播。 全面了解空间人口分布和变化的一个重大障碍是，变化的决定因素在一系列尺度上起作用。 这些规模依赖的决定因素相互作用，复杂的理论和建模工作。 该研究项目旨在通过弥合地理尺度和科学学科来开发一种新的解释框架，以提高对空间人口变化动态的理解。 调查人员将汇集来自人口统计学，地理学和经济学的理论观点，他们将使用这些观点对美国的空间人口分布及其决定因素进行多尺度分析，墨西哥和印度。选择这些网站是为了代表一系列社会经济条件和行为以及一系列数据质量和可用性。研究人员将评估空间人口结果是如何从国家、城市/农村、城市和地方各级的一组相互关联的影响中产生的，他们将评估这些影响的相对重要性在不同经济发展水平的国家之间以及在社会经济条件、人口统计学行为和地理特征的国家内部是如何变化的。 将利用几十年的空间人口数据对假设进行检验，这些数据将与其他经济、人口和地球物理数据合并在一个空间上明确的量化框架中。 该项目通过NSF跨学科行为和社会科学研究（IBSS）竞赛获得支持。