英文标题：
《Selectivity correction in discrete-continuous models for the willingness
to work as crowd-shippers and travel time tolerance》
---
作者：
Tho V. Le and Satish V. Ukkusuri
---
最新提交年份：
2018
---
英文摘要：
The objective of this study is to understand the different behavioral considerations that govern the choice of people to engage in a crowd-shipping market. Using novel data collected by the researchers in the US, we develop discrete-continuous models. A binary logit model has been used to estimate crowd-shippers\' willingness to work, and an ordinary least-square regression model has been employed to calculate crowd-shippers\' maximum tolerance for shipping and delivery times. A selectivity-bias term has been included in the model to correct for the conditional relationships of the crowd-shipper\'s willingness to work and their maximum travel time tolerance. The results show socio-demographic characteristics (e.g. age, gender, race, income, and education level), transporting freight experience, and number of social media usages significant influence the decision to participate in the crowd-shipping market. In addition, crowd-shippers pay expectations were found to be reasonable and concurrent with the literature on value-of-time. Findings from this research are helpful for crowd-shipping companies to identify and attract potential shippers. In addition, an understanding of crowd-shippers - their behaviors, perceptions, demographics, pay expectations, and in which contexts they are willing to divert from their route - are valuable to the development of business strategies such as matching criteria and compensation schemes for driver-partners.
---
中文摘要：
本研究的目的是了解在拥挤航运市场中，决定人们选择的不同行为因素。利用美国研究人员收集的新数据，我们开发了离散连续模型。使用二元logit模型估计拥挤托运人的工作意愿，并使用普通最小二乘回归模型计算拥挤托运人对装运和交货时间的最大容差。该模型中包含了选择性偏差项，以修正人群托运人的工作意愿与其最大行程时间容差之间的条件关系。结果表明，社会人口特征（如年龄、性别、种族、收入和教育水平）、运输经验和社交媒体使用次数对参与拥挤航运市场的决策有显著影响。此外，人群托运人的薪酬预期被发现是合理的，并且与时间价值的文献一致。这项研究的结果有助于拥挤的航运公司识别和吸引潜在的托运人。此外，了解人群托运人的行为、感知、人口统计、薪酬预期以及他们愿意在何种情况下偏离路线，对于制定业务战略（如匹配标准和司机合作伙伴的薪酬计划）很有价值。
---
分类信息：

一级分类：Economics 经济学
二级分类：General Economics 一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
--
一级分类：Quantitative Finance 数量金融学
二级分类：Economics 经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
--

---
PDF下载：
-->