scholarly journals Influence of spatiotemporal pattern changes of impervious surface of urban megaregion on thermal environment: A case study of the Guangdong – Hong Kong – Macao Greater Bay Area of China

2021 ◽  
Vol 121 ◽  
pp. 107106
Author(s):  
Yuling Ma ◽  
Shaohua Zhang ◽  
Kun Yang ◽  
Mingchan Li
Keyword(s):  
Hong Kong ◽  
Thermal Environment ◽  
Impervious Surface ◽  
Spatiotemporal Pattern ◽  
Bay Area

scholarly journals Driving Factors and Risk Assessment of Rainstorm Waterlogging in Urban Agglomeration Areas: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area, China

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 770
Author(s):  
Fan Liu ◽  
Xiaoding Liu ◽  
Tao Xu ◽  
Guang Yang ◽  
Yaolong Zhao
Keyword(s):  
Risk Assessment ◽  
Spatial Distribution ◽  
Hong Kong ◽  
Central Area ◽  
Impervious Surface ◽  
Driving Factors ◽  
Urban Agglomeration ◽  
Driving Mechanism ◽  
Bay Area

Understanding the driving factors and assessing the risk of rainstorm waterlogging are crucial in the sustainable development of urban agglomerations. Few studies have focused on rainstorm waterlogging at the scale of urban agglomeration areas. We used the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China as a case study. Kernel density estimation (KDE) and spatial autocorrelation analysis were applied to study the spatial distribution characteristics of rainstorm waterlogging spots during 2013–2017. A geographical detector (GD) and geographically weighted regression (GWR) were used to discuss the driving mechanism of rainstorm waterlogging by considering eight driving factors: impervious surface ratio (ISR), mean shape index of impervious surface (Shape_MN), aggregation index of impervious surface (AI), fractional vegetation cover (FVC), elevation, slope, river density, and river distance. The risk of rainstorm waterlogging was assessed using GWR based on principal component analysis (PCA). The results show that the spatial distribution of rainstorm waterlogging in the GBA has the characteristics of multicenter clustering. Land cover characteristic factors are the most important factors influencing rainstorm waterlogging in the GBA and most of the cities within the GBA. The rainstorm waterlogging density increases when ISR, Shape_MN, and AI increase, while it decreases when FVC, elevation, slope, and river distance increase. There is no obvious change rule between rainstorm waterlogging and river density. All of the driving factors enhance the impacts on rainstorm waterlogging through their interactions. The relationships between rainstorm waterlogging and the driving factors have obvious spatial differences because of the differences in the dominant factors affecting rainstorm waterlogging in different spatial positions. Furthermore, the result of the risk assessment of rainstorm waterlogging indicates that the southwest area of Guangzhou and the central area of Shenzhen have the highest risks of rainstorm waterlogging in GBA. These results may provide references for rainstorm waterlogging mitigation through urban renewal planning in urban agglomeration areas.

Spatiotemporal impact of vehicle heat on urban thermal environment: A case study in Hong Kong

2021 ◽  
pp. 108224
Author(s):  
Xuan Chen ◽  
Jiachuan Yang ◽  
Rui Zhu ◽  
Man Sing Wong ◽  
Chao Ren
Keyword(s):  
Hong Kong ◽  
Thermal Environment ◽  
Urban Thermal Environment

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

2021 ◽  
Vol 4 (5) ◽  
pp. 1-7
Author(s):  
Mingyang Luo
Keyword(s):  
Hong Kong ◽  
Central Government ◽  
Policy Decision ◽  
National Strategy ◽  
Joint Development ◽  
Bay Area ◽  
Belt And Road ◽  
The Belt And Road

Promoting the construction of Guangdong-Hong Kong-Macau 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-Macau 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.

scholarly journals The Expansion Dynamics and Modes of Impervious Surfaces in the Guangdong-Hong Kong-Macau Bay Area, China

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1167
Author(s):  
Shaohua Zhang ◽  
Kun Yang ◽  
Yuling Ma ◽  
Mingchan Li
Keyword(s):  
Hong Kong ◽  
Urban Areas ◽  
Driving Forces ◽  
Urban Expansion ◽  
Major Axis ◽  
Impervious Surface ◽  
Growth Patterns ◽  
Limiting Factors ◽  
Aggregation Index ◽  
Bay Area

Different urban growth patterns have various impact degrees on the urban ecosystem and environment. Impervious surface, a typical artificial construction can be used to reflect urban development. Therefore, this study estimated the spatiotemporal dynamics and expansion patterns of impervious surface area (ISA) in the Guangdong-Hong Kong-Macau (GHM) Bay Area since the establishment of the “Pearl River Delta economic zone” in 1994. Landsat time-series images were used to map the distribution of the ISA based on the combinational biophysical composition index (CBCI) and the bidirectional temporal filtering method (BTFM). The results indicated that the ISA in the GHM Bay Area drastically expanded from 569.23 km2 in 1994 to 10,200.53 km2 in 2016. In addition, the aggregation index (AI) value of the high-density area showed a decreasing trend from 1994 to 2004. However, the value of each landscape metric rapidly increased after 2004. Moreover, the mean ratio of the major axis to the minor axis of standard deviational ellipses from 1994 to 2004 was higher than that from 2005 to 2016. The results of landscape metrics and standard deviational ellipses indicated that the ISA growth pattern changed from edge expanding and leapfrogging to infilling and consolidation, with a turning point in 2004. Moreover, the principal sprawl orientation of the ISA was northwest to southeast before 2004. After 2004, the expansion direction of the ISA was less obvious due to the development pattern of infilling and consolidation. The rapid increase of GDP and population are the driving forces of urban expansion. However, topography and ecological protection policies as the limiting factors, which caused the infilling of the inner city and redevelopment of old urban areas.

scholarly journals Competition and Sustainability Development of a Multi-Airport Region: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area

2019 ◽  
Vol 11 (10) ◽  
pp. 2958 ◽  
Author(s):  
Wang Liao ◽  
Xiaoshu Cao ◽  
Shengchao Li
Keyword(s):  
Hong Kong ◽  
Urban Areas ◽  
Coastal Region ◽  
Asia Pacific ◽  
Asia Pacific Region ◽  
Airline Competition ◽  
New Era ◽  
Tourist Destinations ◽  
Bay Area

A new era in the development of multi-airport regions (MARs) has been in China, especially in the construction of global urban areas such as the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). In order to better understand competition and provide significant advice to support sustainable development of Chinese MARs, this paper takes the GBA-MAR as an example, and then explores the competition between airports in this multi-airport region based on route level and its impact on passenger airport choice using three liner models. According to our findings, competition is concentrated on a few air routes in the Northeast–East Coastal region and the Asia-Pacific region, in which all three airports operate. Although the domestic market of the GBA-MAR has been relatively mature, the international air transport market is still left with considerable room, which is also reflected in connections to the world’s cities and tourist destinations. In addition, the research also found that different airport brands created by route type significantly affected passenger airport choice. Overall, the study revealed that whether from a supply or demand aspect, competition between airports in a multi-airport region—not just airline competition in a single airport—is an important topic.

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