Intelligent Event Data for Ride sharing & Transportation Planning - Mexico City Sample

Free sample data for Mexico City which includes attendance based categories (sports, festivals, expos, conferences, concerts, performing arts, & community events) that is used by ride-sharing, taxi, and transportation planners to know when and where events are occurring to account for increased demand.

Data also includes Predicted Event Spend, a dollar figure that reflects the predicted amount of retail, accommodation, and transportation spending in a specific area as a result of a major event. At the core of this figure sits our market leading global event coverage, predicted event attendance, local accommodation demand, aviation demand, third party data and more to give you greater geographical context of the scale of the economic impact an event will have.

Event data for ride-sharing & transportation is critical as event times can alter, how many people attending an event can alter depending on event type regardless of venue capacity (not all events will fill venues), and road closures from events can cause network delays. PredictHQ helps alleviate these business concerns to better mobilize driver partners and transport planners. We collate and aggregate local, national and international scheduled and unscheduled events into one handy place, so you can see what events are happening and when, make more cabs and drivers available, and send them to the right places. Uber has been a long-standing customer of ours, using the event data to decrease rider pickup times, increase rider conversion, and surfacing events to customers where they can book a ride there or learn more about the event.

Categories: sports, festivals, expos, conferences, concerts, performing arts, and community.
Location: Mexico City
Duration: 12 months
Time: July 2022 - July 2023

Fields include:
- Title
- Category
- Labels
- Description
- Start date and time
- End date and time
- Predicted end time
- Country
- Lat / Lon (or Polygon)
- Venue Name
- Venue Address
- Rank (PHQ Rank, Local Rank)
- PHQ Attendance
- Event status
- Place Hierarchy
- Created/updated timestamps
- Predicted event spend

Data quality:
PredictHQ's data quality is one of its key strengths:
1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality.
2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites.
3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event.
4) On average we process 28 million events and 422,000 entities every day
5) We track the quality of our data over time and make improvements as needed.

About PredictHQ:
PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best.

For additional information contact us at [e-mail]

墨西哥城免费示例数据集，涵盖基于参与人数的活动类别（体育赛事、节庆活动、展会、会议、音乐会、演艺活动及社区活动），可供网约车、出租车及交通规划从业者使用，以便掌握活动举办的时间与地点，从而应对激增的出行需求。

该数据集还包含预测活动消费额（Predicted Event Spend），这一数值反映了大型活动在特定区域内引发的零售、住宿及交通消费预测总额。该指标的核心依托是我们行业领先的全球活动覆盖范围、活动参与人数预测、本地住宿需求、航空需求及第三方数据等，帮助您更全面地掌握活动经济影响规模的地理维度信息。

对于网约车与交通行业而言，活动数据至关重要——活动举办时间可能发生变动，且活动参与人数也会因活动类型而异，不受场馆容纳量限制（并非所有活动都会坐满场馆），同时活动引发的道路管制还可能造成交通网络延误。PredictHQ能够帮助缓解这些业务痛点，助力更好地调配司机合作伙伴与交通规划资源。我们将本地、全国及全球范围内的计划内与计划外活动整理聚合至统一平台，方便您查询活动内容与举办时间，合理调配车辆与司机资源并精准部署至对应区域。优步（Uber）是我们的长期合作客户，其通过该活动数据缩短了乘客接单时长、提升了乘客转化率，并向用户推送可预约出行的活动信息或活动详情。

活动类别：体育赛事、节庆活动、展会、会议、音乐会、演艺活动及社区活动
活动地点：墨西哥城
数据周期：12个月
时间范围：2022年7月 — 2023年7月

数据集包含以下字段：
- 活动标题
- 活动类别
- 标签
- 活动描述
- 开始日期与时间
- 结束日期与时间
- 预计结束时间
- 所属国家
- 经纬度（或多边形区域）
- 场馆名称
- 场馆地址
- 排名（PHQ排名（PHQ Rank）、本地排名）
- PHQ参与人数预测（PHQ Attendance）
- 活动状态
- 地点层级结构
- 创建/更新时间戳
- 预测活动消费额

数据质量：
PredictHQ的数据质量是其核心优势之一：
1. 我们制定了《需求因果因素处理质量标准》（Quality Standards for Processing Demand Causal Factors, QSPD），用于定义高质量活动数据的评判标准。遵循该标准可确保PredictHQ输出的数据达到最高质量水准。
2. 我们依托超过450个数据源收集活动数据，涵盖公共记录、社交媒体及票务网站等渠道。
3. 我们构建了数千个机器学习模型，用于标准化、验证、丰富及排序每一项活动数据。
4. 我们日均处理约2800万条活动数据及42.2万个实体数据。
5. 我们持续追踪数据质量表现，并根据需要进行优化升级。

关于PredictHQ：
PredictHQ是全球首家且唯一一家为影响企业需求的最大外部变量——活动场景，提供缺失关联信息的企业。PredictHQ通过经过验证的全球活动智能数据，助力企业精准预测活动引发的需求波动，从而灵活调整库存、调配人力、动态定价并提升运营效率。无论是会议、体育赛事、大学毕业典礼、洪涝灾害等各类场景，PredictHQ都能将所有活动整合至统一平台，结合行业领先的工具与智能分析能力，帮助机构以便捷、可靠且可扩展的方式，更好地预测并响应活动引发的客户需求变化。我们始终贴合客户实际需求，确保用户可以通过最适配自身的方式获取我们的数据服务。

如需了解更多信息，请发送邮件至[e-mail] 联系我们。

搜集汇总

背景与挑战

背景概述

该数据集是墨西哥城的活动数据样本，涵盖体育、节日、展览等多种类别，用于共享出行和交通规划，以预测需求变化。它包含活动时间、地点、预测支出等字段，数据来自多个来源并经过机器学习处理，确保高质量。