Real-data-based high-resolution GHG emissions accounting of urban residents private transportation

Worldwide, cities are monitoring their greenhouse gas emissions as a means to inform future greenhouse gas emissions mitigation policies and advance urban sustainability. Most urban GHG accounting frameworks provide data at the overall city scale. Studies have suggested that internal socioeconomic factors and location-specific spatial circumstances influence and shape urban greenhouse gas emissions emission volumes. This manuscript presents a comprehensive high-resolution spatial analysis of private vehicle travel-related greenhouse gas emissions of Tel Aviv-Jaffa (Israel) residents and explores some initial linkages to various socio-spatial explanatory factors. The studied city was divided into 1,121 small areas (ranging between 0.5 and 0.1 km²). Therefore, it allows exploring the extent to which the unique specific characteristics (social and spatial) of different parts of the city contribute to the private vehicles use levels and their rates of emissions, and identify areas that present different consumption patterns. This type of analysis can be used to advance tailored policies suitable for any socio-spatial circumstances as well as to examine existing and emerging approaches to greenhouse gas emissions mitigation and advancement of urban sustainability.