An urban planning perspective on enhancing electric vehicle (EV) adoption: Evidence from Beijing

With increasing concerns for environmental sustainability and the need to reduce greenhouse gas emissions, electric vehicles have emerged as a promising solution. However, successful adoption and widespread use of electric vehicles depend not only on technological advancements but also on the availability and effectiveness of supporting facilities and conducive environments. This research employs structural equation models to examine the influential factors related to urban planning that impact individuals' willingness to adopt electric vehicles. Data were collected from a diverse sample of 4011 Beijing residents. The study underscores the pivotal role of urban conditions and travel patterns in driving people's preference for electric vehicles, with influential factors including access to green spaces, high-rise buildings, parking availability, loan accessibility, commute time, and housing ownership. Then, variations in willingness and influencing factors between urban and suburban resi-dents are observed, with urban residents being more susceptible to the impact of motorized travel modes and suburban property ownership directly affecting electric vehicle usage. Additionally, certain variables exhibit mediating and moderating effects on electric vehicle preferences. The study highlights the multi-factorial nature of electric vehicle adoption from a planning view, distinguishing itself from prior research focused on isolated elements and simplistic associations. The outcomes provide policymakers and urban planners with effective strategies to facilitate widespread electric vehicle adoption and promote sustainable transportation practices.

Automated summary

With increasing concerns for environmental sustainability and the need to reduce greenhouse gas emissions, electric vehicles have emerged as a promising solution. However, successful adoption and widespread use of electric vehicles depend not only on technological advancements but also on the availability and effectiveness of supporting facilities and conducive environments. This research employs structural equation models to examine the influential factors related to urban planning that impact individuals' willingness to adopt electric vehicles. Data were collected from a diverse sample of 4011 Beijing residents. The study underscores the pivotal role of urban conditions and travel patterns in driving people's preference for electric vehicles, with influential factors including access to green spaces, high-rise buildings, parking availability, loan accessibility, commute time, and housing ownership. Then, variations in willingness and influencing factors between urban and suburban residents are observed, with urban residents being more susceptible to the impact of motorized travel modes and suburban property ownership directly affecting electric vehicle usage. Additionally, certain variables exhibit mediating and moderating effects on electric vehicle preferences. The study highlights the multi-factorial nature of electric vehicle adoption from a planning view, distinguishing itself from prior research focused on isolated elements and simplistic associations. The outcomes provide policymakers and urban planners with effective strategies to facilitate widespread electric vehicle adoption and promote sustainable transportation practices.