Data-enabled public preferences inform integration of autonomous vehicles with transit-oriented development in Atlanta

Cities

Volumn 63, Issue , 2017, Pages 118-127

  Lu, Zhongming ^a   Du, Rundong ^b,c   Dunham Jones, Ellen ^b   Park, Haesun ^c   Crittenden, John ^a  

^a Georgia Institute of Technology   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Georgia Institute of Technology   (United States)

Author keywords

Autonomous vehicle; Decision support; Latent class choice model; Sentiment analysis; Social preference; Topic modeling

Indexed keywords

DECISION SUPPORT SYSTEM; MODELING; TRANSPORT VEHICLE;

ATLANTA; GEORGIA; UNITED STATES;

EID: 85010310683     PISSN: 02642751     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cities.2017.01.004     Document Type: Article

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