Investigating container-truck drivers’ choice preferences toward different parking modes in port cities: A stated preference case study

This paper aims to investigate the preferences of container truck drivers to choose different parking modes (i.e., exclusive parking, shared parking and nearby parking) in port cities. Stated choice data of container truck drivers' parking choice are collected based on an online survey carried out in Beilun, a part of the Ningbo-Zhoushan port of China. Discrete choice models are applied and estimated based on the collected data. In addition, the analyses of willingness-to-pay and marginal effect are carried out as well. The final results show the following conclusions. First, in terms of alternative-specific attributes, the attributes “distance from parking space to the residence”, “distance from parking space to the nearest port”, “parking fee”, “fine for illegal parking”, “number of stock dumps within 5 km of the parking space”, “whether the parking space has a monitoring system” and “whether there are shared bikes near the parking space” have significant heterogeneous influences on drivers' choice behavior. Second, in terms of personal attributes, drivers' age and education level have significant effects. Third, container truck drivers would like to pay ¥14.44 per month in average to make 1 km shorter of the distance from the parking space to drivers’ residential locations, and would like to pay ¥44.80 per month in average to make 1 km shorter of the distance from the parking space to the nearest port. Fourth, decreasing the distance from the parking space to the residence and improving the education level of container truck drivers show significant marginal effects toward the market share of shared parking. Based on these conclusions, relevant policy recommendations are proposed to related stakeholders.