【环球网科技综合报道】12月10日，货拉拉围绕建议到达时间及装货准点率算法规则进行了第五次算法公开。内容显示，货拉拉平台建议到达 时间由"导航基础时间""距离延长时间"和"车型延长时间"三部分组成，算法会自动在导航预估的基础时间上，根据距离和车型额外设置延长时 间，距离越远、车型越大则延长时间越长，若司机有突发情况，还可通过异常报备入口申请再延长时间。此外，货拉拉还公布了准点率的计算 方式及考核规则，平台仅考核快车、特快订单抵达装货地的准点率，准点率不受司机抵达卸货地的时间影响，也不会影响司机中单。 货拉拉司机管理部负责人汪晓兰表示，货拉拉提供的建议到达时间仅作为司机参考，并非硬性运输完成时限。为避免司机为了赶时间而选择冒 险，平台会预留充足的时间给司机运输进行"缓冲"。建议到达时间更宽松、更人性化，司机在运输过程中也能更安全、体验更好。 货拉拉第五次算法公开的内容则解答了这个问题。据悉，货拉拉建议到达时间是系统根据订单距离、实时路况、司机车型等因素，计算出的司 机预计到达用户指定装货起点或卸货终点的时间点，其主要由三部分构成：导航基础时间、距离延长时间和车型延长时间，系统会在导航基础 时间之上，根据订单距离 ...

Core Insights - The article highlights that Huolala has made a significant investment of approximately 1 billion yuan to acquire the T6 office building in Shanghai's Jingyao Hongqiao, coinciding with its sixth submission of an IPO prospectus to the Hong Kong Stock Exchange [1][18][20]. Company Overview - Huolala, founded in 2013 in Hong Kong, has grown into the world's largest logistics transaction platform, covering 14 markets globally, including mainland China, Hong Kong, Southeast Asia, South Asia, the Middle East, and South America [8][12]. - The company aims to address major logistics needs in urban and intercity freight transactions, providing diverse logistics and value-added services to merchants and truck drivers [8]. Financial Performance - Huolala's revenue has shown consistent growth, with projected revenues of $1.036 billion, $1.334 billion, and $1.593 billion for 2022, 2023, and 2024 respectively, translating to approximately 11.3 billion yuan [14]. - The company achieved a turnaround in profitability in 2023, with adjusted net profits of $391 million and $501 million expected for 2023 and 2024 [14]. Real Estate Acquisition - The T6 building, which Huolala purchased, has a total height of approximately 11 stories and a building area of about 25,000 square meters, with an average price of 40,000 yuan per square meter [6][22]. - This acquisition is seen as a strategic move to enhance investor confidence and company valuation, as well as to establish a significant presence in Shanghai, a key international market [22][23]. Market Context - The acquisition comes at a time when the office market is experiencing high vacancy rates, yet prime properties in core areas remain highly sought after [22]. - Huolala's investment is viewed as a signal of financial strength and a strategic positioning to attract talent and enhance brand visibility in a competitive market [22][23]. IPO Process - Huolala's ongoing IPO process has seen multiple submissions to the Hong Kong Stock Exchange, with the latest submission occurring on October 27, 2023 [18][20]. - The company has yet to receive approval from the China Securities Regulatory Commission for overseas listing, indicating ongoing uncertainty in its IPO timeline [20].

Core Viewpoint - The meeting held by Huolala aimed to address concerns of truck drivers regarding platform algorithms and labor rules, resulting in the signing of a special agreement to enhance driver rights and platform transparency [1][2]. Group 1: Meeting Overview - The first national "Orange Heart Protection Algorithm Consultation Meeting" was convened by Huolala with guidance from various labor and social organizations [1]. - The meeting gathered truck drivers and platform representatives to discuss key issues such as service income, cost guarantees, and safety measures [1]. - A total of 15 topics were expanded from initial discussions, focusing on critical areas affecting drivers [1]. Group 2: Driver Concerns and Platform Responses - Drivers from cities like Shenzhen, Beijing, and Wuhan actively contributed suggestions, and the platform committed to gradually optimizing responses to these concerns [2]. - Huolala has implemented features to identify overloaded and improperly loaded orders, allowing drivers to cancel such orders without penalty if verified [2]. - The platform plans to hold regular consultation meetings and involve third-party witnesses to ensure transparency and collect driver feedback on algorithms and rules [2]. Group 3: Algorithm Transparency and Accountability - Huolala has established a public section on its website for algorithm transparency, presenting information in an easily understandable format [2]. - The platform maintains a principle of "no responsibility without sufficient evidence" in order cancellation disputes, with only 4% of cancellations attributed to driver fault [3]. - Drivers can appeal penalties within 48 hours by providing evidence, ensuring a fair review process [3].