Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 01:50:40am WEST
External resources will be made available 30 min before a session starts. You may have to reload the page to access the resources.
|
Daily Overview |
| Session | |
|
Egg-Timer: Energy, Water and Sustainability Location: D-112 Session Chair: Naifu Zhang, Fudan University | |
| Presentation 4 | |
Experience and Environmental Valuation in Urban Transport Choices 1: Indian Statistical Institute, Delhi, India; 2: Universidad de Los Andes, Bogota, Colombia; 3: National University of Singapore; 4: Renmin University of China, Beijing, China Urban transport electrification is widely promoted to reduce air pollution in highly polluted cities, yet its welfare implications depend on how commuters evaluate environmental attributes across modes and experience levels. Using a randomized discrete choice experiment with commuters in Delhi—one of the world’s most polluted megacities—we examine preferences for electric public and shared transport, capturing valuations across the income distribution. We find that prior usage of a mode fundamentally reshapes electric vehicle preferences. Commuters without prior experience of a mode initially place substantially more weight on local air pollution reductions than greenhouse gas emissions, but prior usage causes pollution concerns to fade. More striking, experience produces sharply divergent willingness-to-pay patterns: WTP declines for electric buses by 95% and for electric auto-rickshaws by 42%, for electric two-wheelers the sign reverses, while WTP for electric cars increases 65%. These mode-specific reversals suggest initial environmental enthusiasm gives way to performance-based evaluation, with critical implications for subsidy design, adoption forecasts, and the distributional incidence of electrification policies. | |

