Forecasting Housing Requirements in a College Town

Wayne P. Rasmussen, Y. Chan
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Abstract

A simple housing projection model that employs the economic-base and gravity-interaction theories is presented, and the results are compared with those of a parallel study that incorporates the cohort-survival and straight-line projection concepts. It is through such an examination in a small and isolated region, State College, Pennsylvania, that the assets and liabilities of the simple model are clarified. It is hypothesized that the foundation of the economy in the region is the Pennsylvania State University, which serves as the key basic activity from which nonbasic activity is generated. Employment is treated as the primary catalyst for initiating change in the aggregate demand for housing. The projected size and location of the local work force, coupled with the distance people are willing to commute to work and the structural type of housing they prefer, are considered as the major determinants of residential location. The study indicates that the subject model provides more realistic results than the parallel study. The region’s well-defined economic base is cited for a more reliable forecast.
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预测大学城的住房需求
提出了一个采用经济基础理论和重力相互作用理论的简单住房预测模型,并将结果与采用队列生存和直线预测概念的平行研究的结果进行了比较。正是通过在宾夕法尼亚州州立大学这样一个小而孤立的地区进行的这样一项检查,这个简单模型的资产和负债得到了澄清。假设该地区的经济基础是宾夕法尼亚州立大学,它是产生非基础活动的关键基础活动。就业被视为启动住房总需求变化的主要催化剂。当地劳动力的预计规模和位置,加上人们愿意上下班的距离和他们喜欢的住房结构类型,被认为是住宅位置的主要决定因素。研究表明,主体模型比平行模型提供了更真实的结果。该地区明确的经济基础被引用为更可靠的预测。
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