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

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI:10.1016/j.tranpol.2026.104027

Xiaofeng Pan , Xunqian Chen , Shaobo Liu

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Abstract

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.

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港口城市集装箱货车司机对不同停车方式的选择偏好：陈述偏好案例研究

本文旨在研究港口城市集装箱货车司机在选择不同停车模式（专属停车、共享停车和就近停车）时的偏好。集装箱货车司机停车选择的陈述选择数据是基于在中国宁波-舟山港口北仑进行的一项在线调查收集的。采用离散选择模型，并根据收集到的数据进行估计。此外，还对支付意愿和边际效应进行了分析。最终结果表明：首先，在替代属性方面，“车位到住所的距离”、“车位到最近港口的距离”、“停车费”、“违例停车罚款”、“车位周边5公里内库存堆存数量”、“车位是否有监控系统”、“车位附近是否有共享单车”等属性对驾驶员的选择行为具有显著的异质性影响。第二，在个人属性方面，驾驶员的年龄和受教育程度有显著影响。第三，集装箱卡车司机愿意每月平均支付14.44日元，将停车位到司机居住地的距离缩短1公里；愿意每月平均支付44.80日元，将停车位到最近的港口的距离缩短1公里。第四，减少车位到居民住所的距离和提高集装箱货车驾驶员的文化程度对共享停车的市场占有率有显著的边际效应。基于这些结论，向相关利益相关者提出相关政策建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transport Policy Multiple-

CiteScore

12.10

自引率

10.30%

发文量

282

期刊介绍： Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.