Impact of Urban Rail Transit Network on Residential and Commercial Land Values in China: A Complex Network Perspective

Urban rail transit can improve a city’s accessibility. However, high construction and operation costs restrict the development of urban transit. Value capture recoups additional value that investments confer to local land is considered be an effective measure alleviate this financial problem. Understanding uplift effects essential for understanding capture. This study applied Space-P model network based on complex theory demonstrated influence characteristics residential commercial prices. The was tested with eight metropolises in China, using 2003 2022 timeframe as context. results showed significant positive correlation between number nodes prices, average clustering coefficient highly positively correlated there negative path length provides theoretical support capture, beneficial planning, supports improvements quality networks.