Zhou Zhengyi, Li Hongchang, Zhang Anming
School of Finance, Shanghai University of Finance and Economics, Yangpu District, 100 Wudong Road, Shanghai, 200433 China.
School of Economics and Management, Beijing Jiaotong University, Haidian District, No.3 Shangyuancun, Beijing, 100044 China.
J Real Estate Financ Econ (Dordr). 2022 Feb 6:1-30. doi: 10.1007/s11146-022-09889-x.
With unique datasets, this paper studies the effects of dockless bike sharing on house prices. We find that in neighborhoods relatively far from subway stations, house prices increase with the usage intensity of shared bikes. This indicates a positive value of bike sharing as a complement to the subway network. Meanwhile, shared bike usage intensity also has a negative impact on house prices. The negative effect is mitigated for luxury neighborhoods and neighborhoods near City Management Teams, suggesting that the negative effect is related to bike misplacement. Since the breakout of COVID-19, both the positive and negative price impacts have become more evident. This is consistent with the fact that the user base of shared bikes, which allow for social distancing in an open space, has increased during the pandemic. This may enhance people's confidence in the long survival of the bike sharing industry.
利用独特的数据集,本文研究了无桩共享单车对房价的影响。我们发现,在距离地铁站相对较远的社区,房价随共享单车的使用强度而上涨。这表明共享单车作为地铁网络补充的积极价值。与此同时,共享单车使用强度对房价也有负面影响。对于豪华社区和靠近城管队的社区,负面影响有所减轻,这表明负面影响与自行车乱停放有关。自新冠疫情爆发以来,正负价格影响都变得更加明显。这与以下事实一致:在疫情期间,允许在开放空间保持社交距离的共享单车用户群体有所增加。这可能会增强人们对共享单车行业长期存续的信心。