Study on urban housing consumption selection based on Logit model

Housing problem is the problem of livelihood. The problem of housing consumer behavior has become one of the main concern of the Government after more than 10 years the rapid development of real estate. This article is based on the logit model, integrated family net worth, family income, labor factors and so on. Results showed that housing in Shanghai have household net worth is the most critical, followed by labour income and labour force.

OPTIMAL DESIGN OF HOUSING ATTICS WITH INTEGRATED SOLAR COLLECTORS

In order to reduce the increasing energy consumption for the domestic demands of existing single-family housing and take advantage of frequent building enlargements,this paper presents a methodology and supporting software tool for determining the optimal design configuration of an attic with integrated solar collectors.The analysis procedure is based on parametric modeling,energy simulation and the use of evolutionary algorithms for finding optimal designs.It has been implemented as a Web-platform for public use that provides users with a proposal of an attic shape with maximum solar energy collection,maximum living space and minimum construc-tion envelope for each house according its size and orientation.The attic integrates PV,thermal and hybrid solar panels on one side of the roof.This paper describes the methodology and software design,asssment of the Web-platform usage and case-studies to verify its behavior.In a matter of minutes,the Web-platform enables users to select a specific attic design for each house that has integrated solar collectors that can produce energy to cover almost 100%of domestic energy consumption.The attics designed provide a nearly 30%increase in living space through the extension of one to four rooms,and the construction cost of the envelope is similar to that of a standard housing extension.

Population Aging and Housing Consumption:A Nonlinear Relationship in China

Mass migration of rural workers to cities will inevitably increase urban housing demand. However, the scale of vacant urban housing will increase in future as a result of the population aging and the rising number of empty nesters. Therefore, demographic transition may not only increase housing demand, but also increase housing supply. Using an overlapping generations model, the present paper investigates＇ the impact of demographic transition on housing consumption. We find that there is a nonlinear relationship between the elderly dependency ratio and housing consumption in China. With the deepening of population aging, housing consumption will increase; when the elderly dependency ratio reaches a turning point, housing consumption will decrease. The turning point of the nonlinear curve also depends on population mobility. A greater degree of population mobility will result in a delayed turning point. Furthermore, the turning point of the nonlinear curve will emerge when China＇s elderly dependency ratio reaches a value of 32 percent in 2025. This means that over the next decade, China should continue to increase the level of housing supply,