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  • Jul. 17, 2025

Arid Land Geography ›› 2025, Vol. 48 ›› Issue (5): 941-950.doi: 10.12118/j.issn.1000-6060.2024.391

• Regional Development • Previous Articles    

NIMBY influence by railway facilities in linear city based on housing prices

WANG Xueyi(), GENG Manguo, TANG Xianglong()   

  1. School of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou 730000, Gansu, China
  • Received:2024-06-25 Revised:2024-07-29 Online:2025-05-25 Published:2025-05-13
  • Contact: TANG Xianglong E-mail:wangxueyi_97@163.com;tangxl@mail.lzjtu.cn

Abstract:

Railways are vital external transportation infrastructures in modern cities and play an important role in urban development. However, they also cause certain negative impacts, such as the fragmentation of urban patterns and disruption to residents’ lives. The study focused on Lanzhou City, Gansu, China, a linear city, and investigated the not-in-my-backyard (NIMBY) impacts of railway facilities employing a price characteristic model and a geographically weighted regression model. The study concluded the following. (1) Railway facilities significantly reduce housing prices. With every 1% reduction in distance between railway and railway stations, housing prices fall by 0.175% and 0.017%, respectively. (2) The NIMBY influence ranges approximately 1.2 km from the railway and approximately 0.6 km from the railway station. Owing to Lanzhou’s linear urban layout (a belt along the same direction), which runs parallel to the railway, several residential blocks (55.24% of total housing in the city), are within the NIMBY-affected area. (3) The spatial effects of the railway and railway stations vary significantly. Houses closer to the city center, particularly those related along the inner side of the railway, experience greater negative impacts. Furthermore, development areas are more impacted by the railway, and properties in high-price areas are more strongly affected compared to those located in the suburbs. (4) The “dock area” surrounding railroad stations has a maximum influence of 1.6 km, while the “municipal support area” affects up to 0.8 km. This implies that the positive effect of the station has a significant offsetting effect on the NIMBY effect.

Key words: railway facilities, NIMBY effect, linear city, housing price, hedonic pricing method, central Lanzhou City