Shoufeng Ma

TL;DR: Wang et al. as mentioned in this paper studied passengers' psychological responses to the COVID-19 pandemic over time in terms of their emotional arousal and mental construal, as public transport began to resume its operations with the pandemic almost entirely contained.

TL;DR: A Beijing urban passenger transport carbon model is built, including an economy subsystem, population subsystem, transport subsystem, and energy consumption and CO2 emissions subsystem using System Dynamics, and it showed that priority to the development of public transport (PDPT) could significantly increase the proportion ofpublic transport locally and would be helpful in pursuing energy savings and emission reductions as well.

TL;DR: In this paper, the saliency of social-psychological factors in explaining why drivers purchase (or fail to purchase) New Energy Vehicles (NEVs) in China was investigated by measuring six dimensions (including attitudes, subjective norms, perceived behavioral control, personal norms, low-carbon awareness and policy).

TL;DR: In this article, the authors explored the relationship between travelers' intentions to use low-carbon travel modes, a set of socio-psychological variables, and the influence of government supported low carbon travel policies.

TL;DR: Simulations show that the improved model proposed can reproduce well the metastable state, the spatiotemporal patterns, and the phase transitions of traffic flow and can be simulated with a quantitative agreement.