Harnessing Ambient Sensing & Naturalistic Driving Systems to Understand Links Between Driving Volatility and Crash Propensity in School Zones: A generalized hierarchical mixed logit framework
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- Zha, Donglan & Yang, Guanglei & Wang, Wenzhong & Wang, Qunwei & Zhou, Dequn, 2020. "Appliance energy labels and consumer heterogeneity: A latent class approach based on a discrete choice experiment in China," Energy Economics, Elsevier, vol. 90(C).
- Behram Wali & Asad Khattak & Thomas Karnowski, 2020. "The relationship between driving volatility in time to collision and crash injury severity in a naturalistic driving environment," Papers 2010.04719, arXiv.org.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2020-11-02 (Discrete Choice Models)
- NEP-TRE-2020-11-02 (Transport Economics)
- NEP-URE-2020-11-02 (Urban and Real Estate Economics)
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