Analysis of Urban Agglomeration Network Structure Based on Baidu Migration Data: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Urban Agglomeration

The inter-city linkage heat data provided by Baidu Migration is employed as a characterization of inter-city linkages in order to facilitate the study of the network linkage characteristics and hierarchical structure of urban agglomeration in the Greater Bay Area through the use of social network analysis method.This is the inaugural application of big data based on location services in the study of urban agglomeration network structure,which represents a novel research perspective on this topic.The study reveals that the density of network linkages in the Greater Bay Area urban agglomeration has reached 100%,indicating a mature network-like spatial structure.This structure has given rise to three distinct communities:Shenzhen-Dongguan-Huizhou,Guangzhou-Foshan-Zhaoqing,and Zhuhai-Zhongshan-Jiangmen.Additionally,cities within the Greater Bay Area urban agglomeration play different roles,suggesting that varying development strategies may be necessary to achieve staggered development.The study demonstrates that large datasets represented by LBS can offer novel insights and methodologies for the examination of urban agglomeration network structures,contingent on the appropriate mining and processing of the data.

Data reliability of the emerging citizen science in the Greater Bay Area of China

The potential of citizen science projects in research has been increasingly acknowledged,but the substantial engagement of these projects is restricted by the quality of citizen science data.Based on the largest emerging citizen science project in the country-Birdreport Online Database(BOD),we examined the biases of birdwatching data from the Greater Bay Area of China.The results show that the sampling effort is disparate among land cover types due to contributors’ preference towards urban and suburban areas,indicating the environment suitable for species existence could be underrepresented in the BOD data.We tested the contributors’ skill of species identification via a questionnaire targeting the citizen birders in the Greater Bay Area.The questionnaire show that most citizen birdwatchers could correctly identify the common species widely distributed in Southern China and the less common species with conspicuous morphological characteristics,while failed to identify the species from Alaudidae;Caprimulgidae,Emberizidae,Phylloscopidae,Scolopacidae and Scotocercidae.With a study example,we demonstrate that spatially clustered bird watching visits can cause underestimation of species richness in insufficiently sampled areas;and the result of species richness mapping is sensitive to the contributors’ skill of identifying bird species.Our results address how avian research can be influenced by the reliability of citizen science data in a region of generally high accessibility,and highlight the necessity of pre-analysis scrutiny on data reliability regarding to research aims at all spatial and temporal scales.To improve the data quality,we suggest to equip the data collection frame of BOD with a flexible filter for bird abundance,and questionnaires that collect information related to contributors’ bird identification skill.Statistic modelling approaches are encouraged to apply for correcting the bias of sampling effort.

Three-dimensional S-wave velocity structure of the upper crust in the Guangdong-Hong Kong-Macao Greater Bay Area:insights into the basins structure and genesis of hot springs

As one of the four largest bay areas with strong economic activities in the world,the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA)is located in the zone of interaction between the South China Block(SCB)and the South China Sea(SCS).Under the influence of complex geologic evolution,basin-range structures,fault systems and hot springs are well developed here.However,the characteristics of geological structures and the genetic mechanism of these geological phenomena are still unclear.Therefore,we performed ambient noise tomography to obtain 3-D upper crust(0-7.5 km)S-wave velocity structures of the GHMGBA by using 40-day continuous waveform data from 130 seismic stations in the GHMGBA.Our results show that sedimentary basins in the GHMGBA are mainly characterized by low-velocity anomalies.S-wave velocities of sediment formation in basins are about 2.8-3.1 km/s.Rapid changes in velocity appear at the edges of the basins,which correspond to the NE-,NEE-,and NW-trending faults,indicating prominent basin-controlling effects of the faults.The Sanshui Basin(SSB),the largest in the GHMGBA,has a developmental depth of about 4 km,and there is a significant difference in velocity gradient between the east and west sides of the basin,indicating that SSB has experienced east-west asymmetric expansion.Moreover,there are prominent low-velocity anomalies at a depth of about 4.5 km beneath the hot springs at the west of the Zhujiang(Pearl)River estuary(ZRE).We infer that the low-velocity anomalies are fluid reservoirs of the hot springs,which lead to the development of the hot springs on the surface.In addition,the distribution of main cities in the GHMGBA shows a spatial correlation with low-velocity areas at shallow depths(<3 km).The population development trend in the GHMGBA in the past 20 years is also mainly concentrated in the structural province of relatively low-velocity.In combination with the GHMGBA basin structures and drainage distribution characteristics,we suggest that the basic geological environment to some extent affects the habitability of the human settlement and thus determines the distribution and development trend of the main urban context.We believe that the 3-D S-wave velocity structure of the upper crust of the GHMGBA obtained in this study,as well as the deep structural characteristics of the basins and hot springs,will provide support to urban construction planning and geological hazards research of the GHMGBA.

Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices:Evidence from Guangdong-Hong Kong-Macao Greater Bay Area,China

Innovation capitalization is a new concept in innovation geography research.Extant research on a city scale has proven that innovation is an important factor affecting housing prices and verified that innovation has a capitalization effect.However,few studies investigate the spatial heterogeneity of innovation capitalization.Thus,case verification at the urban agglomeration scale is needed.Therefore,this study proposes a theoretical framework for the spatial heterogeneity of innovation capitalization at the urban agglomeration scale.Examining the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA),China as a case study,the study investigated the spatial heterogeneity of the influence of high-tech firms,representing innovation,on housing prices.This work verified the spatial heterogeneity of innovation capitalization.The study constructed a data set influencing housing prices,comprising 11 factors in 5 categories(high-tech firms,convenience of living facilities,built environment,the natural environment,and the fundamentals of the districts)for 419 subdistricts in the GHMGBA.On the global scale,the study finds that high-tech firms have a significant and positive influence on housing prices,with the housing price increasing by 0.0156%when high-tech firm density increases by 1%.Furthermore,a semi-geographically weighted regression(SGWR)analysis shows that the influence of high-tech firms on housing prices has spatial heterogeneity.The areas where high-tech firms have a significant and positive influence on housing prices are mainly in the GuangzhouFoshan metropolitan area,western Shenzhen-Dongguan,north-central Zhongshan-Nansha district,and Guangzhou—all areas with densely distributed high-tech firms.These results confirm the spatial heterogeneity of innovation capitalization and the need for further discussion of its scale and spatial limitations.The study offers implications for relevant GHMGBA administrative authorities for spatially differentiated development strategies and housing policies that consider the role of innovation in successful urban development.

Research on the Formation Mechanism for the Co-agglomeration of Producer Services and Manufacturing in the Guangdong- Hong Kong-Macao Greater Bay Area

The Guangdong-Hong Kong-Macao Greater Bay Area is witnessing a surge in economic development,showcasing robust resilience in the co-agglomeration of producer services and manufacturing industries,along with the increasingly evident impact generated by such co-agglomeration.Based on the panel data collected from ten cities in the Guangdong-Hong Kong-Macao Greater Bay Area(excluding Zhaoqing)spanning from 2010 to 2020,we examined the formation mechanism for industrial co-agglomeration in the area from three dimensions:industrial correlation,spatial correlation,and policy guidance.Our analysis was based on a vertical correlation model and was validated using the seemingly unrelated regressions(SUR)method.The findings are as follows:(a)There currently exists no spatial correlation between the producer services and manufacturing sectors in the area,and the correlation between the two remains limited to the former providing specialized services to the latter.(b)Policy guidance has a positive impact on the location selection of industries within the area.By implementing a comprehensive range of favorable policies,local governments can provide effective and scientifically guided recommendations regarding the location of producer services and manufacturing sectors.Therefore,it is crucial to foster the collaboration between producer services and manufacturing sectors and further enhance the co-agglomeration between the two sectors.In addition,the government authorities should also strive to enhance its economic governance capacity,thereby facilitating the formation of such co-agglomeration.

Research on the Integrated Development of Disability Services in the Greater Bay Area From the Perspective of Media Functions

As the main window for the public to understand the outside world,mass media has an undeniable influence on economic and social development.The way in which the media reports on issues related to people with disabilities not only affects the voice of the disabled community,which determines the public image of the“disappearing”disabled community,but also affects the public awareness and recognition of the disability cause.To further explore the current status of mainstream media’s coverage of the disability cause,this article combines relevant concepts from media function theory and analyzes reports related to the integrated development of the disability cause in the Guangdong-Hong Kong-Macao Greater Bay Area by using the examples of the Zhuhai Special Zone Daily,Southern Metropolis Daily,and Shenzhen Special Zone Daily since the release of the Development Plan Outline for the Guangdong-Hong Kong-Macao Greater Bay Area in 2019.The results show that the“Integrated Development of the Disability Cause in the Bay Area”presented in the reports has the characteristics of service-oriented and cooperation-based,which is in line with the overall trend of the development of China’s disability cause.However,due to factors such as a small overall quantity of related reports,a relatively single style of reporting and information sources,and a strong promotional tone,there still exists a certain difference between the“media reality”and objective reality constructed by these reports.Therefore,this article suggests that institutional media should fully strengthen their coverage of relevant topics,while enhancing the timeliness and readability of reports by enriching various reporting elements.By further enhancing the effectiveness of reporting and communication,the integrated development of the disability cause in the Bay Area can be effectively promoted.

Transport Accessibility and Spatial Connections of Cities in the Guangdong-Hong Kong-Macao Greater Bay Area

Based on geographic information system(GIS) spatial analysis technology, the spatial pattern of raster grid transport accessibility for the Guangdong-Hong Kong-Macao Greater Bay area was studied and the states of spatial connectedness were simulated using highway passenger transport, railway passenger transport, port passenger transport and aviation passenger transport data. The result shows that transport accessibility within the Guangdong-Hong Kong-Macao Greater Bay area costs ‘one hour’ and the spatial distribution of accessibility in the area presents clear ‘core-periphery’ spatial characteristics, with Guangzhou, Foshan, Shenzhen constituting the core. The transport accessibility of Guangdong-Hong Kong-Macao is high. Average accessibility of urban nodes as measured by travel time is 0.99 h, and the areas accessible within 1.42 h occupy 79.14% of the total area. Most of the areas with the lowest accessibility are found in the peripheral area, with the worst accessibility being 4.73 h. Compared with the west-side cities, the economically developed east-side cities of the Guangdong-Hong Kong-Macao Greater Bay area have higher connectivity with roads, railways, ports, and aviation transport. Guangzhou, Foshan, Zhuhai, Shenzhen, Hong Kong and Macao are closely linked. The higher the accessibility, the closer the intercity connectedness.

Rapid Urbanization Induced Extensive Forest Loss to Urban Land in the Guangdong-Hong Kong-Macao Greater Bay Area, China

China has experienced rapid urbanizations with dramatic land cover changes since 1978. Forest loss is one of land cover changes, and it induces various eco-environmental degradation issues. As one of China’s hotspot regions, the Guangdong-Hong KongMacao Greater Bay Area(GBA) has undergone a dramatic urban expansion. To better understand forest dynamics and protect forest ecosystem, revealing the processes, patterns and underlying drivers of forest loss is essential. This study focused on the spatiotemporal evolution and potential driving factors of forest loss in the GBA at regional and city level. The Landsat time-series images from 1987 to2017 were used to derive forest, and landscape metrics and geographic information system(GIS) were applied to implement further spatial analysis. The results showed that: 1) 14.86% of the total urban growth area of the GBA was obtained from the forest loss in1987–2017;meanwhile, the forest loss area of the GBA reached 4040.6 km2, of which 25.60%(1034.42 km2) was converted to urban land;2) the percentages of forest loss to urban land in Dongguan(19.14%), Guangzhou(18.35%) and Shenzhen(15.81%) were higher than those in other cities;3) the forest became increasingly fragmented from 1987–2007, and then the fragmentation decreased from2007 to 2017);4) the landscape responses to forest changes varied with the scale;and 5) some forest loss to urban regions moved from low-elevation and gentle-slope terrains to higher-elevation and steep-slope terrains over time, especially in Shenzhen and Hong Kong.Urbanization and industrialization greatly drove forest loss and fragmentation, and, notably, hillside urban land expansion may have contributed to hillside forest loss. The findings will help policy makers in maintaining the stability of forest ecosystems, and provide some new insights into forest management and conservation.

Comparisons of Undergraduate Business Administration Education in Greater Bay Area, China

Business administration education plays an important part in supporting the development of business industry and ensuring the ongoing supply of qualified human resources to meet the demanding industry requirements.However,the dramatic growth of the economy has not been accompanied by an adequate response from the education system.It is therefore,necessary to review the existing business administration programs.This paper will make a comparison of the current undergraduate programs in Business Administration in Guangdong-Hong Kong-Macao Greater Bay Area in the six dimensions:curriculum and instruction;strategic planning;administrative management;faculty;student achievements;and resources.Suggestions for the further development of Business Administration programs in the bay area will then be proposed.

Toward a more open and collaborative climate change policy framework in Hong Kong and Macao within the Guangdong-Hong Kong-Macao Greater Bay Area

The special administrative regions of Hong Kong and Macao enjoy a high degree of autonomy from the national policy system in devising their local policies,including measures related to climate change.Hong Kong and Macao each have their own climate change policies,some aspects of which are more advanced than policies in China's Mainland.While their high degree of policy autonomy has advantages,this has also isolated them from China's larger environmental management and practices that continue to advance at scale.This paper reviews the climate change policies of the two special administrative regions and analyzes their strengths and innovations,particularly in adaptation.It also identifies areas where there could be closer engagement,collaboration,and capacity-building with the China's Mainland,which has the potential for greater positive impacts,especially on a regional basis.

Characteristics and Diagnosis of the Landfalling Tropical Cyclones in the Guangdong-Hong Kong-Macao Greater Bay Area of China During 1981-2018

This paper applies statistical and synthetic analysis methods to study the characteristics of the three types of tropical cyclone(TC) that landed in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA) from 1981 to2018 and the reasons for the differences of TC-induced wind and precipitation. The results show that there are interdecadal changes in the frequency and intensity of the landfalling TCs in the GBA, with decreased frequency but increased intensity in the 2010 s. The TCs that landed in the west of the Pearl River Estuary(PRE) have the highest frequency and the strongest intensity during landing, which bring the strongest winds;the TCs that landed in the PRE have the lowest frequency and the shortest duration after landing, which cause the strongest precipitation;the TCs that landed in the east of the PRE have the longest duration on the land. This study shows that near the center of the TCs that landed in the PRE, there is a weak anomalous cyclonic shear compared with the ones that landed in the west of the PRE. It is a confluence area of anomalous north wind and anomalous southwest wind, with better water vapor convergence and dynamic rising conditions, which is conducive to the formation of heavy precipitation.Compared with the TCs that landed in the PRE and in its east, there is a closed positive anomalous center of pressure gradient in the northwest center of the TCs that landed in its west, resulting in higher wind speeds in the west of the PRE. The characteristics of the three types of TCs in the GBA are highly related to TC-induced damage.In the future, the GBA needs to focus on preparing for TCs landing in its west. Zhuhai, Jiangmen and Huizhou are key cities to guard against TCs. The results of this study provide foundations for effective management and reduction of TC disaster risks in the future development of the GBA.

Tourism Spatial Structure in Urban Agglomeration of the Greater Bay Area and Its Optimization

With the rapid development of economy,China’s urbanization process is accelerated.As major urban cluster center,Guangdong-Hong Kong-Macao Greater Bay Area is regarded as one of the most representative areas with the highest openness and the strongest economic vitality.Under the background of new era,main purpose of making development strategy of the Greater Bay Area is to build a world-class city cluster with great vitality,and establish a world-class science and technology innovation center with great influence.It also lays a good foundation for strengthening the construction of the belt and road initiative in China,and improves quality of life in the cooperation zone between the mainland and Hong Kong and Macao.Under the background,the tourism industry has new challenges,and the tourism spatial structure should be more closely linked.In this paper,tourism spatial structure of 9+2 urban agglomeration in the Greater Bay Area is taken as core research objective,and tourism resource of the urban agglomeration,and development of tourism economy and perfect transportation network in each city are analyzed.According to research results,the targeted suggestions and optimization methods are obtained.

Research on Tourism Development Strategy of Zhaoqing Seven Star Cave Scenic Area in the Context of Guangdong-Hong Kong-Macao Greater Bay Area

The national strategy of"Guangdong-Hong Kong-Macao Greater Bay Area"has replaced the original Pearl River Delta economic circle.As one of them,the economic development of Zhaoqing City ushered in a historic opportunity.Other cities in Greater Bay Area provide sufficient tourist resources for the development of Zhaoqing’s tourism industry.Under the new situation,Seven Star Cave,the leading scenic spot in Zhaoqing,should firmly grasp the national strategic dividend of the"Guangdong-Hong Kong-Macao Greater Bay Area",accelerate the transformation and upgrading,and enhance the market competitiveness.In this paper,the data are collected by nominal group technique,and are integrated into SWOT matrix for analysis.The development strategy of Zhaoqing Seven Star Cave Scenic Area is obtained by matching internal and external factors.

Research on Practice Subjects Construction of Public Cultural Service in the Guangdong-Hong Kong-Macao Greater Bay Area

The construction of the public culture in the Guangdong-Hong Kong-Macao Greater Bay Area requires the establishment of effective mechanism on multiple practice subjects.Policy networks theory,with its characteristics of governance attribute,multiple subjects coordination and optimization efficiency,provides a beneficial analytical framework for the construction of multiple practice subjects in the public culture area.This paper analyzes the application of the policy networks in the development of the public culture.

On the Industrial Division and Coordinated Development in the Guangdong–Hong Kong–Macao Greater Bay Area

The Guangdong-Hong Kong-Macao Greater Bay Area is a young but vigorous international city cluster with a complete industrial system and is taking the lead in China’s economic development.This paper analyzes the economic and industrial development of the Guangdong-Hong Kong-Macao Greater Bay Area and measures the industrial agglomeration index and homogeneity index among different cities in the area.After our analysis,we found that the cities in the area showed apparent differences in their economic development levels.Therefore,this paper suggests improving the competitiveness of the Greater Bay Area through systematic division and collaboration of industries,further achieving rational industrial structure and high-quality economic development.

Analysis on Brand Development of Private Colleges and Universities in Guangdong-Hong Kong-Macao Greater Bay Area Based on the Perspective of Sustainable Development

The special geographical location and political system of the Guangdong-Hong Kong-Macao Greater Bay Area and the international background of coexistence of multiple cultures have strong basic strengths and international advantages in education and talents,and have the rigid conditions for the development of education and talents gathering.The rapid development of the Guangdong-Hong Kong-Macao Greater Bay Area has brought rare opportunities and challenges to private higher education in Guangdong.This study analyzes the significance of private higher education for the development of the Bay Area from the perspective of sustainable development theory,and proposes corresponding strategies for high-quality development.

Development of International Education Industry in the Guangdong-Hong Kong-Macao Greater Bay Area

Building the Greater Bay Area city cluster is a crucial national development strategy for China.As a vital hub of the Belt and Road Initiative,the Greater Bay Area cannot cultivate into an“international first-class bay area and world-class city cluster”without technological innovation and rapid economic progress,and technological innovation and economic development cannot be attained without the training of high-end talents through international education.Thus,the development of an international education demonstration zone is essential in the formation and development of the Greater Bay Area and making it a highland for education and talent,as well as giving full play to the social function of education.As the core of the accumulation of educational resources in Guangdong,Hong Kong,and Macao,the current situation,future opportunities,and development path of international education development in the Greater Bay Area while building a world-class international education center have become the starting point of this study.

Research on the Joint Development of Cities of Guangdong-Hong Kong-Macao Greater Bay Area: A Case Study of Foshan City

Promoting the construction of Guangdong-Hong Kong-Macao Greater Bay Area is a major policy decision and national strategy made by the central government of China,which significantly supports the Belt and Road Initiative and maintains the long-term prosperity for the whole country.As an important part of the Guangdong-Hong Kong-Macao Greater Bay Area,Foshan needs to find its own position and direction in order to accelerate the joint development with other cities through five measures.

High-resolution tsunami hazard assessment for the Guangdong-Hong Kong-Macao Greater Bay Area based on a non-hydrostatic tsunami model

The Guangdong-Hong Kong-Macao Greater Bay Area(GBA)is threatened by potential tsunami hazards from the Littoral Fault Zone(LFZ)and the Manila subduction zone(MSZ),and may suffer huge damage because of its dense population,concentrated infrastructure,and low-lying coasts.Previous tsunami studies for the GBA made simple assumptions on the mechanisms of LFZ earthquakes,and used coarse bathymetry data in tsunami simulation,which limited the prediction of detailed tsunami hazard characteristics.In this paper,we develop a parallel dispersive tsunami model PCOMCOT to efficiently simulate dispersive,nonlinear,and breaking tsunami waves.We also construct large-scale and high-resolution bathymetry models for the GBA by correcting and integrating various data sources.Dynamic rupture simulation is performed for the LFZ to obtain a more reliable earthquake source model.We propose several representative earthquake scenarios for the LFZ and MSZ,and use PCOMCOT to calculate the resulting tsunami waves,currents,and inundation in the GBA.Our results indicate that if an M_(w)7.5 oblique-slip earthquake occurs in the LFZ off the Pearl River Estuary(PRE),the subsequent tsunami will primarily impact Hong Kong,causing maximum positive and negative waves of around 1 m and -2 m,respectively,along with slightly destructive currents(≥1.5 m/s).An M_(w)9.0 MSZ megathrust earthquake can lead to widespread inundation with>1 m depth on the outlying islands of Macao and in the urban areas of Hong Kong around the Victoria Harbour.Besides,it will also cause catastrophic tsunami currents along the narrow waterways in Hong Kong and Macao,and the spatial distribution of strong currents(≥3 m/s)shows a considerable discrepancy from the areas of serious inundation.Thus,more attention should be paid to the potential impacts of tsunami currents on the GBA.

Exploring diurnal and seasonal variabilities in surface urban heat island intensity in the Guangdong-Hong Kong-Macao Greater Bay Area

The urban heat island(UHI) is an environmental problem of wide concern because it poses a threat to both the human living environment and the sustainable development of cities. Knowledge of the spatiotemporal characteristics and the driving factors of UHI is essential for mitigating their impact. However, current understanding of the UHI in the Guangdong–Hong Kong–Macao Greater Bay Area(GBA) is inadequate. Combined with data(e.g., land surface temperature and land use.) acquired from the Google Earth Engine and other sources for the period 2001–2020, this study examined the diurnal and seasonal variabilities, spatial heterogeneities, temporal trends, and drivers of surface UHI intensity(SUHII) in the GBA. The SUHII was calculated based on the urban–rural dichotomy, which has been proven an effective method. The average SUHII was generally 0–2°C, and the SUHII in daytime was generally greater than that at night. The maximum(minimum) SUHII was found in summer(winter);similarly, the largest(smallest) diurnal difference in SUHII was during summer(winter). Generally, the Mann–Kendall trend test and the Sen's slope estimator revealed a statistically insignificant upward trend in SUHII on all time scales. The influence of driving factors on SUHII was examined using the Geo-Detector model. It was found that the number of continuous impervious pixels had the greatest impact, and that the urban–rural difference in the enhanced vegetation index had the smallest impact, suggesting that anthropogenic heat emissions and urban size are the main influencing factors. Thus, controlling urban expansion and reducing anthropogenic heat generation are effective approaches for alleviating surface UHI.