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基于POI大数据的城市新区住房租赁需求偏好研究 ——以天津市滨海新区为例

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ted heterogeneity analysis on them.The study found that,in the new urban district,theРrental groups were willing to pay more for rental housing with shorter commuting time,and the straight-line distance fromРresidence to the center of the new district had no significant effect on the rent premium.The study also indicated that theРrental groups increase their improvement demand and more emphasis on the diversity of living facilities with the growth ofРage,the accumulation of family wealth and the extension of rental time.Based on all the aspects mentioned above,thisРpaper finally promotes some advice on adjusting the supply of rental housing and improving job-housing balance.Р Key 万方数据words:rental housing;demand preference;new urban district;big data;Binhai New District;Tianjin City

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