TY - JOUR
T1 - Rail transit disruptions, traffic generations, and adaptations: Quasi-experimental evidence from Hong Kong
AU - Ou, Yifu
AU - Li, Xin
AU - Nam, Kyung-Min
PY - 2024/10
Y1 - 2024/10
N2 - Despite a recent surge in urban rail service disruptions, rigorous impact studies are rare and the empirical literature presents mixed or highly underestimated results. In response, we examine the impacts of disrupted urban rail service on vehicle use in Hong Kong, using air quality as a proxy for the latter. We find that, on average, nitrogen oxides concentrations near an inactive metro station increased by 7.8% after the protests. This result translates into an 8.4% increase in on-road traffic intensity, given the pollution-traffic elasticity of 0.93. During rush hours, metro-station shutdowns further increased traffic intensity by ≤31.9%, suggesting an imminent need for a rail-to-road mode shift among commuters. The magnitude of the effects, however, tends to decline over time, with a 1% decline for each hour past the occurrence of a given shutdown event. This declining trend seems to reflect increased adaptation over time at both network and individual levels.
AB - Despite a recent surge in urban rail service disruptions, rigorous impact studies are rare and the empirical literature presents mixed or highly underestimated results. In response, we examine the impacts of disrupted urban rail service on vehicle use in Hong Kong, using air quality as a proxy for the latter. We find that, on average, nitrogen oxides concentrations near an inactive metro station increased by 7.8% after the protests. This result translates into an 8.4% increase in on-road traffic intensity, given the pollution-traffic elasticity of 0.93. During rush hours, metro-station shutdowns further increased traffic intensity by ≤31.9%, suggesting an imminent need for a rail-to-road mode shift among commuters. The magnitude of the effects, however, tends to decline over time, with a 1% decline for each hour past the occurrence of a given shutdown event. This declining trend seems to reflect increased adaptation over time at both network and individual levels.
UR - https://publons.com/wos-op/publon/69635021/
UR - https://www.scopus.com/pages/publications/85202582481
U2 - 10.1016/J.TRD.2024.104381
DO - 10.1016/J.TRD.2024.104381
M3 - Article
SN - 1361-9209
VL - 135
JO - Transportation Research Part D: Transport and Environment
JF - Transportation Research Part D: Transport and Environment
M1 - 104381
ER -