Population projection accuracy: The impacts of sociodemographics, accessibility, land use, and neighbour characteristics
Year: 2017
Type: article
Abstract: Population projection is essential to governments, businesses, and research communities for many purposes. Although projection performance is often evaluated, we know very little about what factors affect projection accuracy. It is important to understand these factors in order to utilize the projections knowledgeably. This study fills this gap in the literature by comprehensively investigating the possible factors associated with population projection accuracy in 2010 for the continental US counties. The results indicate that the counties whose populations are more predictable tend to be desirable places-places with abundant employment opportunities, reliable public transportation infrastructure, easy access to work, and/or high land development potential; their neighboring counties tend to have a well-educated population and a higher income level. Also, projection accuracy is highly spatially associated. The findings provide important insights for population projection users to understand the characteristics of counties and their neighboring counties associated with their projection accuracy.
Source: Population Space and Place
DOI: 10.1002/psp.2129
Authors: Guangqing Chi, Donghui Wang
Institution: Pennsylvania State University
Language: English
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Awards: Convergence NNA: Coordinate a Transdisciplinary Research Network to Identify Challenges of and Solutions to Permafrost Coastal Erosion and Its Socioecological Impacts in the Arctic, CRISP Type 1/Collaborative Research: Population-Infrastructure Nexus: A Heterogeneous Flow-based Approach for Responding to Disruptions in Interdependent Infrastructure Systems, G3917174853, HIGHLANDERS ARE DIFFERENT. PEOPLE GESTATED, BORN, AND RAISED AT HIGH ELEVATION 2500 M EXHIBIT DISTINCT PHYSIOLOGICAL CHARACTERISTICS, INCLUDING INCR, G684392362, Population Research Institute, The Population Research Institute
OpenAlex ID: W2777520237
