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安全与盈利之间的灵活取舍:北京出租车服务系统终端司机的观点。

Resilient trade-offs between safety and profitability: perspectives of sharp-end drivers in the Beijing taxi service system.

机构信息

Beihang University, People's Republic of China.

出版信息

Int J Occup Saf Ergon. 2022 Jun;28(2):721-733. doi: 10.1080/10803548.2020.1821511. Epub 2020 Oct 9.

DOI:10.1080/10803548.2020.1821511
PMID:32900280
Abstract

Trade-offs are common behaviors of resilient systems, when the systems adapt to changing situations to meet multiple goals. In the context of the Beijing taxi service system (BTSS), this work investigates the sharp-end taxi drivers' trade-offs between work safety and business profitability, demonstrates their resilience in balancing these two goals and identifies factors that contribute to the trade-offs. An empirical framework incorporating questionnaire surveys, semi-structured interviews, field observation, data screening and categorization was adopted. Data were collected from a random sample of 70 taxi drivers. In the drivers' decisions we found a slight bias in favor of profitability rather than safety (regardless of their finances), and a high level of resilience that the drivers had developed in making strategies for the trade-offs. Trip distance, possibility of traffic congestion, redundant consumption, weather conditions, road features and real-time broadcast information were identified as determinants of the drivers' decision-making. The findings inform BTSS organizational layers and regulators about the sharp-end drivers' needs for productive safety, and provide an evidence base for making more definitive recommendations about support provision and resource re-allocation in an effective and proactive manner.

摘要

权衡是弹性系统的常见行为,当系统适应变化的情况以实现多个目标时。在北京市出租车服务系统 (BTSS) 的背景下,这项工作研究了尖锐端出租车司机在工作安全和商业盈利之间的权衡,展示了他们在平衡这两个目标方面的弹性,并确定了促成权衡的因素。采用了包含问卷调查、半结构化访谈、现场观察、数据筛选和分类的实证框架。数据来自随机抽取的 70 名出租车司机。在司机的决策中,我们发现了一个轻微的倾向,即盈利而不是安全(无论他们的财务状况如何),并且司机在制定权衡策略方面表现出了很高的弹性。行驶距离、交通拥堵的可能性、冗余消费、天气条件、道路特征和实时广播信息被确定为司机决策的决定因素。这些发现为 BTSS 组织层面和监管机构提供了关于尖锐端司机对生产安全的需求的信息,并为以有效和积极主动的方式提供更明确的支持提供和资源重新分配建议提供了证据基础。

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