作者: Ching-Chih Chou , Chien-Wen Shen , Dapeng Gao , Yang Gao , Kai Wang
DOI: 10.3390/EN11051151
关键词: Energy consumption 、 Environmental science 、 Transport engineering 、 Energy economics 、 Time series 、 Impulse response 、 Public transport 、 Track (rail transport) 、 Empirical research 、 Variance decomposition of forecast errors
摘要: While the introduction of a high speed rail (HSR) provides passengers with another more environmentally friendly, convenient, and time-saving transport option, it also disrupts existing passenger market. This study adopts time series analysis to model dynamic competition in regional market when an HSR is introduced. The analyses include examining long-run equilibrium causal relationships, short-run causality relationships between modes. In addition, based on we conduct impulse response tests variance decomposition further interpret interactions two An empirical carried out, findings indicate that has negative impact conventional air long-run. dynamics, volume could be regarded as good predictor volume. turn, used predict operations are complementary short term. From viewpoint, meet different kinds demand. Therefore, previous increased for implies overall increasing demand transport. Consequently, past growth Through test, can track responses three modes shocks from themselves each other.