A Cohort Location Model of household sorting in US metropolitan regions
针对美国50个最大都市区，基于2010年人口普查数据，提出一个队列区位模型，发现户主年龄越小越倾向住在市中心，35岁以上家庭更常见于外围区域。
In this paper we propose a household sorting model for the 50 largest US metropolitan regions and evaluate the model using 2010 Census data. To approximate residential locations for household cohorts, we specify a Cohort Location Model (CLM) built upon two principle assumptions about housing consumption and metropolitan development/land use patterns. According to our model, the expected distance from the household’s residential location to the city centre(s) increases with the age of the householder (as a proxy for changes in housing career over life span). The CLM provides a flexible housing-based explanation for household sorting patterns in US metropolitan regions. Results from our analysis on US metropolitan regions show that households headed by individuals under the age of 35 are the most common cohort in centrally located areas. We also found that households over 35 are most prevalent in peripheral locations, but their sorting was not statistically different across space.