Capturing preference heterogeneity of truck drivers’ route choice behavior with context effects using a latent class model
نویسندگان
چکیده
This paper aims at investigating the heterogeneous characteristics among truck drivers in route choice preferences. A latent class model incorporating membership functions is employed to examine differences between segments of drivers. A stated choice experiment designed for identifying route choice behavior of truck drivers provides the data for model estimation. The effects of road pricing and environmental bonus are examined considering context dependency. Results reveal that the latent class model outperforms the multinomial logit models in terms of goodness-of-fit and discrimination of segments. Drivers of light trucks care more about congestion than those of heavy trucks, and are highly sensitive to road pricing and slightly sensitive to a road bonus. Drivers of heavy trucks are more sensitive to road category and urban area than drivers of light trucks, and are insensitive to bonus and slightly sensitive to high pricing.
منابع مشابه
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