In 2023, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area in Greater China ranged at 86.88 million. The Guangdong - Hong Kong - Macao Greater Bay Area is the largest and most populated urban area in the world.

In 2022, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area reached around 86.6 million. In terms of population, China's Greater Bay Area was larger than other major Bay Areas in the world. However, per capita GDP was only about half of that in the Tokyo Bay Area and only one seventh of that in the San Francisco Bay Area.

In 2023, the total land area of the Guangdong - Hong Kong - Macao Greater Bay Area cities amounted to around 56,000 square kilometers. The land area of Zhaoqing alone was nearly 14,900 square kilometers, making it the largest city by area in the region. In terms of population size, however, Zhaoqing is one of the smaller cities in the Greater Bay Area.

This statistic illustrates the business jet fleet size in the Greater Bay Area in China as of October 2018, broken down by city. As of October 2018, Hong Kong housed 139 business jets, followed by Shenzhen with 40 jets.

This statistic illustrates the helicopter fleet size in the Greater Bay Area in China as of October 2018, broken down by city. As of October 2018, Shenzhen housed 70 helicopters, followed by Zhuhai with 31 helicopters.

This statistic illustrates the business aviation fleet size in the Greater Bay Area in China as of October 2018, broken down by aircraft type. As of October 2018, the Greater Bay Area housed 202 business jets.

This statistic illustrates the business jet fleet distribution in the Greater Bay Area in China as of October 2018, by aircraft size category. As of October 2018, around 62 percent of the business jets operating in the Greater Bay Area were long-range jets.

In this work, we propose LargeST as a new benchmark dataset (see Figure 1), with the goal of facilitating the development of accurate and efficient methods in the context of large-scale traffic forecasting. The distinguishing characteristic of LargeST lies not only in its extensive graph size, encompassing a total of 8,600 sensors in California, but also in its substantial temporal coverage and rich node information – each sensor contains 5 years of data and comprehensive metadata.

LargeST comprises four sub-datasets, each characterized by a different number of sensors. The biggest one is California (CA), including a total number of 8,600 sensors. We also construct three subsets of CA by selecting three representative areas within CA and forming the sub-datasets of Greater Los Angeles (GLA), Greater Bay Area (GBA), and San Diego (SD).

This data includes the three-dimensional urban morphology parameters of the Guangdong Hong Kong Macao Greater Bay Area in three development scenarios: SSP1, SSP2, and SSP5, in 2050. The data format is three sets of 500m grid parameter vector data, each containing average building height (mean_predH), standard deviation of building height (std_redH), area weighted average building height (AreaW_H), and proportion of building floor area (Coverage) The proportion of building surface area (BPR) and frontal index (FAI) are six parameters. This data first constructs an urban growth simulation model based on historical land use and multiple sets of spatial variable data. Based on SSP population prediction data, it simulates the new urban land under three SSP scenarios in the Bay Area by 2050; Secondly, the newly added urban patches will be cyclically divided into independent plots, and the constructed building height prediction model will be used to generate building objects in the simulated plots; Finally, based on building information, calculate the parameters of the three-dimensional urban form grid and obtain the simulation results of the evolution of building form scenarios. The overall accuracy of the urban growth simulation model used in this data is 83.4%, with a Kappa coefficient of 0.67. The RMSE of the building height prediction model is 2.67m. The results of this data can be used to quantitatively describe the three-dimensional morphology of cities, and can be used as input for regional climate models as urban canopy data, in order to further explore the interaction between urban morphology and climate environment.

This statistic illustrates the leading business jet operators in the Greater Bay Area in China as of October 2018, broken down by fleet size. As of October 2018, TAG Aviation had a total of around 26 business jets in the fleet.

With the rapidly growing population and socioeconomic development of the Guangdong–Hong Kong–Marco Greater Bay Area of China, inputs of diverse contaminants have rapidly increased. This poses threats to the water quality of the Pearl River Estuary (PRE) and adjacent seas. To provide valuable information to assist the governors, stakeholders, and decision-makers in tracking changes in environmental conditions, daily nowcasts and two-day forecasts from the ecological prediction system, namely the Coupled Great Bay Ecological Environmental Prediction System (CGEEPS), has been setup. These forecast systems have been built on the Coupled Ocean–Atmosphere–Wave–Sediment Transport modelling system. This comprises an atmospheric Weather Research Forecasting module and an oceanic Regional Ocean Modelling System module. Daily real-time nowcasts and 2-day forecasts of temperature, salinity, NO2 + NO3, chlorophyll, and pH are continuously available. Visualizations of the forecasts are available on a local website (http://www.gbaycarbontest.xyz:8008/). This paper describes the setup of the environmental forecasting system, evaluates model hindcast simulations from 2014 to 2018, and investigates downscaling and two-way coupling with the regional atmospheric model. The results shown that though CGEEPS lacks accuracy in predicting the absolute value for biological and biogeochemical environmental variables. It is quite informative to predict the spatio-temporal variability of ecological environmental changes associated with extreme weather events. Our study will benefit of developing real-time marine biogeochemical and ecosystem forecast tool for oceanic regions heavily impact by extreme weathers.

This statistic illustrates the turboprop and piston aircraft fleet distribution in the Greater Bay Area in China as of October 2018, by aircraft size category. As of October 2018, around 52 percent of the turboprop and piston aircrafts operating in the Greater Bay Area were single-engine turboprops.

This statistic illustrates the helicopter fleet distribution in the Greater Bay Area in China as of October 2018, by aircraft size category. As of October 2018, around 43 percent of the helicopters operating in the Greater Bay Area were medium size.

This statistic illustrates the leading helicopter operators in the Greater Bay Area in China as of October 2018, broken down by fleet size. As of October 2018, CHOC had a total of around 68 helicopters in the fleet.

As of 2019, 20 percent of commercial occupiers in Hong Kong were concerned about expanding the local operation size in Hong Kong due to the Greater Bay Area Initiative. Hong Kong, an essential global financial center, has been attracting companies around the world to develop their business in this city. However, with the global political and economic changes, Hong Kong's attractiveness as a business center is also being challenged.

This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

This statistic illustrates the leading turboprop and piston aircraft operators in the Greater Bay Area in China as of October 2018, broken down by fleet size. As of October 2018, AVIC GA had a total of around 16 turboprop and piston aircrafts in the fleet.

This graph shows the GDP of the San Francisco Bay Area in 2022, by industry. In 2022, the GDP of the San Francisco metro area amounted to about 654.73 billion U.S. dollars. About 68.02 billion U.S. dollars were generated in the manufacturing industries. The overall quarterly GDP growth in the United States can be found here. The San Francisco Bay Area’s GDP The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, 101 cities, and 7,000 square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. The United States Census Bureau considers the Bay Area a Combined Statistical Area (CSA) with approximately 7.4 million people, including the nine counties bordering San Francisco Bay as well as Santa Cruz and San Benito Counties, making it the sixth largest CSA in the United States.

In the ten year period between 2001 and 2011, the Bay Area saw its GDP grow considerably. In 2001, GDP was 239 billion U.S. dollars. This value rose to 347 billion U.S. dollars by 2011. Additionally, California ranked first on a list of U.S. states by GDP, with two trillion U.S. dollars of GDP in 2012. Silicon Valley, located in the Bay Area, is in great part responsible for the Bay Area’s and California’s high GDPs, as it is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there.

In 2023, the GDP of the San Francisco Bay Area amounted to 681.89 billion U.S. dollars, an increase from the previous year. The overall quarterly GDP growth in the United States can be found here. The GDP of the San Francisco Bay Area The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, 101 cities, and 7,000 square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. There are approximately 4.62 million people living in the metro area as of 2022. Silicon Valley In the ten year period between 2001 and 2011, the Bay Area saw steady GDP growth. Starting in 2012, it began to skyrocket. This is thanks to an economic boom in the tech sector, and high value companies headquartered in Silicon Valley - also part of the Bay Area. Silicon Valley is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there. Additionally, California ranked first on a list of U.S. states by GDP, with more than 3.59 trillion U.S. dollars in GDP in 2022.

By the end of 2023, there were 54,672 small and micro enterprises in Guangdong's Pearl River Delta, and around 13,449 of them were loss-making companies. Adding Hong Kong and Macau, the Pearl River Delta is also called Guangdong-Hong Kong-Macau Greater Bay Area. This is one of the most economically active regions in China.