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This paper presents a direct modelling approach to evaluate household travel energy consumption and CO 2 emissions based on the spatial form of neighborhoods and streets. It integrates one multinomial logit model and four double hurdle models to predict travel outcomes: vehicle ownership portfolio choice, car travel distance, bus travel distance, motorcycle travel distance and ebike travel distance. The energy consumption and CO 2 emissions are then estimated using these travel outcomes. A full application of the modelling approach is demonstrated through a pilot project in Jinan, China. A holdout validation is also performed to address the over-fitting problem of models calibrated from the training set data. Results show that the proposed approach is operational and appropriate for sketch planning applications to promote clean energy and low carbon city planning in urbanizing China. • A direct modelling approach to evaluate household travel energy consumption and CO 2 emissions is presented. • The approach assesses the impact of the spatial form of neighborhoods and streets. • A holdout validation is performed to address the over-fitting problem of calibrated models. [ABSTRACT FROM AUTHOR]