Hong Kong
Open Data Portal
Background Introduction
Open Data Portal (formerly known as PSI Portal) makes open data available in machine-readable format for re-use for commercial or non-commercial purposes free-of-charge, with a view to facilitating the development of new solutions and innovations, as well as academic research and analysis.
Common Spatial Data Infrastructure (CSDI)
Transport Department
Related Datasets from "Open Data Portal" and "Common Spatial Data Infrastructure"
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Traffic Data of Strategic / Major Roads (Raw & Processed)
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Annual Traffic Census Survey Data
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Traffic Flow Census
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Journey time indicators (2nd Generation)
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Speed map panels (2nd Generation)
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Car Journey Time data
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Road Network (2nd Generation)
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Special Traffic News (2nd Generation)
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Traffic Notices
Suggested Questions
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Analysis of urban road traffic conditions during different time periods, such as providing traffic congestion index, traffic flow, queue length, etc. for different road sections or areas.
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Evaluation of road traffic impact due to changes in traffic condition (e.g. traffic incident, special traffic and transport arrangement) in the vicinity.
Shanghai
Shanghai Public Data Open Platform
Background Introduction
Shanghai Public Data Open Platform is an information management system for data open subjects and data utilization subjects, realizing the whole process management of public data opening, guaranteeing the compliance, security and controllability of public data and the opening process, and promoting the development of digital economy. Utilizing the Shanghai Big Data Resource Platform, the Data Open Portal provides data utilization subjects (natural persons and legal persons) with public data that are machine-readable, utilizable and original.
Datasets Description
Shanghai Public Data Open Platform has now opened 53 data departments, 165 data opening organizations, 6,402 data sets (including 2,504 data interfaces), 83 data shoulds, 54,148 data items, and 2,050,444,231 pieces of data, covering the fields of economic construction, resources and environment, educational technology, road transportation, social development, and public security and so on.
The unconditional open dataset is now available to all teams. Please download it yourself. The conditional open dataset will be available to the finalists at the end of June
Shanghai Electric Vehicle Public Data Collecting Monitoring and Research Center
Background Introduction
Shanghai Electric Vehicle Public Data Collecting Monitoring and Research Center is the only third-party public data platform for electric vehicles in Shanghai, which was formally established in 2014. According to the national standard data center sampling frequency of 10 seconds / times, a total of 124 data fields, including 44 static data, 80 real-time dynamic data. By the end of April 2024, the Shanghai data center platform has accumulated access to collect the operating data of more than 1.4 million electric vehicles in Shanghai.
Datasets Description
1. Transportation Data
The data set aggregated electric vehicle traffic data of a road segment based on data of real electric vehicles, including the vehicle count and traffic speed characteristics of the road in both the morning and evening peaks and the shoulders, as well as the vehicle diversion behaviors at the intersection. The length of the selected road segment is 7 kilometers, and the number of electric vehicles (not full volume vehicles) passing through the intersection in one day is 7,000. The data set includes two weekdays, Monday and Wednesday. The data set includes fields such as vehicle’s serial number, time of the hit, coordinates of the hit and speed of the hit.
2. Operational Data
The data set randomly selected 15 battery electric vehicles operating in the public sector with 52 consecutive weeks (1 day per week was selected), containing fields such as run model, speed, SOC(percentage of remaining power), Sum-current, Sum-voltage, extreme values of battery temperature and so on. The data set can be used to explore the charging performance of the electric vehicles, such as charging power, charging speed, and remaining battery capacity. The data set can also be used to explore the discharge performance of the electric vehicles, such as acceleration, remaining mileage and so on.
3. Low-Altitude Economy Data
The Shanghai Hongqiao transportation hub area is selected as the research object. Traffic flow information of new-energy vehicles arriving and departing the area is collected at different periods of time for this research. The dataset covers vehicle traffic flow data segmented into 48 hours from one weekday and one weekend day in 2024. The dataset involves 100,000 new-energy passenger vehicles and 3,000 new-energy logistics vehicles. The dataset includes a grid number table and a vehicle OD spatial traffic flow table.
Suggested Questions
1. Transportation Data
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An exploratory study on optimization of road traffic signal timing
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An exploratory analysis of traffic flow forecasting and congestion evaluation
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An exploratory study of decision-making services for vehicular green-wave traffic
2. Operational Data
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An exploratory study on battery’s state of health estimation and prediction
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An exploratory study on estimation of dynamic energy consumption and remaining mileage prediction for electric vehicles
Datasets will be available by the end of June
Shanghai Topease Information Technology Co., Ltd
Background Introduction
Shanghai Topease Information Technology Co., Ltd. (referred to as 'Topease’ ), a wholly-owned subsidiary of Donghao Lansheng (Group) Co., Ltd., was established in 2004 as a comprehensive solution provider for enterprise digital marketing.
To adhere to clients' real needs and solve practical problems, we combine Al and cloud computing technology to reach the full potential of big data, helping to empower customers with global insights and improve their digital marketing ability.
Datasets Description
In Topease's global import-export trade database, there are over 52 data sources encompassing trade data from nearly 228 countries. The sample data consists of data extracted from six countries（USA、Argentina、Mexico、Peru、Vietnam and India） over a one-year period. (with sensitive information removed.) 76 fields, can be roughly divided into 4 groups of content
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Bill of Lading Number/Logistics Info（Field：Import/Export Date, Import/Export Document Number, Declaration Number, Port of Loading, Port of Destination and so on.）
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Suppliers/Buyers Info （Field：Names of buyers/suppliers. In this dataset, the buyer/supplier field have all been replaced with Topease-labeled enterprise identification codes.）
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Product Descriptions（Field：Product Descriptions, HS Codes, HS Codes Descriptions and so on）
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Amount & Price Info（Field：The amount, quantity, weight of the goods, as well as information on the country's trade payment methods, and other details. Note: The U.S. data does not include amounts.）
Suggested Questions
The core application of import-export trade data lies in utilizing transaction data to generate real trade portraits, assisting global suppliers or buyers in acquiring effective, accurate, and suitable high-quality partners. Simultaneously, it aids in understanding changes in the global trade market.
We recommend participating teams conduct in-depth research on the core fields involved in the trade process and fully utilize artificial intelligence and other technologies to explore intelligent solutions for trade facilitation, trade monitoring, and related areas.
Datasets will be available by the end of May
Other Suggested Questions
Esri China (Hong Kong)
Background Introduction
Esri China (Hong Kong) Limited is a home-grown IT company specializing in Geographic Information System (GIS) and mapping solutions to serve Hong Kong and Macao customers since 1997. We aim to make our customers successful through the applications of innovative GIS and mapping technologies. We also support building Hong Kong and Macao as leading smart cities by integrating GIS seamlessly with other smart technologies as the backbone of smart city infrastructure. We deliver comprehensive GIS solutions, GIS & IT consulting and implementation lifecycle services as well as professional training to help organizations to enhance their business and competitiveness.
Datasets Description
The dataset can only be searched in English via the Open Geospatial Data HK（https://opendata.esrichina.hk/）. The below dataset is cited as an example for your reference only.
Transport
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Road Network Data of Hong Kong
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3D Pedestrian Network in Hong Kong
Building
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LandsD 3D-BIT00 Models
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Buildings in Hong Kong
Population
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Hong Kong Population Density by 18 districts in 2021
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Hong Kong Population Distribution by Age by Small Tertiary Planning Unit Group in 2016
Town Planning
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Hong Kong Outline Zoning Plans Land Use Zonings
Natural Landscape
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LiDAR Data in Hong Kong
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Hong Kong Digital Terrain Model from 2020 LiDAR Survey (5m grid)
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Slope of Hong Kong
Environmental
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Old and Valuable Trees and Stonewall Trees in Hong Kong
Suggested Description
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Utilizing GIS technology and 3D modeling, design the future urban landscapes and architectural plans for Hong Kong or Shanghai to achieve livable and sustainable Sponge City environments
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Utilize geospatial data for the revitalization and development planning of the old districts in Hong Kong and Shanghai
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Climate change in the dual cities of Hong Kong and Shanghai: Enhancing resilience and spatial governance through new strategies
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Intelligent charging solutions: Innovative solutions to drive the development of electric vehicles
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Based on GIS analysis of population, transportation, and infrastructure data in Hong Kong or Shanghai, propose urban expansion and land use planning strategies to address population growth and urban development needs
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Analyze the cultural heritage and urban history of Hong Kong or Shanghai based on GIS technology and historical data, and propose plans for the protection and utilization of urban cultural assets