TU Delft_ Urbanism_ Divya Gunnam_ Resilient City Networks_ GBA, China

Page 148

Conclusion

Our project envisions the Greater Bay Area as a megaregion of resilient city networks, which would function in a state of dynamic equilibrium. These networks, social, ecological and economic, would contribute to a fair and equitable society, mindful usage of resources and overall sustainable development. The vision proposes a value-based developmental model that is representative of people and their quality of life. It fosters a growth engine focusing on building social and ecological resilience for the region. Resilience thinking as a strategy fixes the previous shortcomings and also facilitates the ability of complex social-ecological systems to change, adapt and transform to

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people or environmental induced stresses. Building evolutionary resilience is a mutually dependent cross-system approach affecting both natural and human systems. Enabling people to become active agents of change can facilitate synergetic development to themselves, society and the environment. The silent stakeholders; the planet and the future generations should be acknowledged to maintain the region in a state of dynamic equilibrium where the three pillars; people, planet and prosperity balance each other out. The resilient network city proposal explores the interdependencies of complex systems in this megaregion and calls for a paradigm shift in thinking by prioritising people

and planet through integrated regional planning. To reach our aim, we used multiple experiments and tools like the morphological game and space syntax analysis which helped us understand the complexity of the region. It also provided us with certain methods to navigate through formulating the principles and translating them into spatial strategies. With our research, we wanted to shine a light on the importance of developmental model that has people, ecology and planet at its forefront to build a resilient region that can withstand the growing uncertainties of the future.


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References Data sources

1min
page 154

Literature references

6min
pages 155-158

Limitations and Recommendations

1min
pages 151-153

Relevance

1min
page 150

Group reflection

1min
page 149

Conclusion

1min
page 148

Evaluations Space Syntax evaluation

1min
pages 144-147

Micro scale

0
pages 128-129

Meso scale

1min
pages 126-127

People as agents of change

0
pages 118-119

Micro scale

0
pages 116-117

Rural area

0
pages 120-121

Meso scale

1min
pages 114-115

Peri-urban area

0
pages 108-109

People as agents of change

0
pages 106-107

Micro scale

0
pages 104-105

Macro scale - Central heart - Nansha

1min
pages 94-95

Urban area

0
pages 96-97

Strategies

1min
pages 100-101

Mega scale

1min
pages 92-93

Principles and strategies

0
pages 90-91

Multiscalar approach

0
pages 88-89

Manifesto Manifesto

1min
pages 84-87

Shenzhen - Hong Kong

0
pages 76-77

Developing three networks

0
pages 70-71

Building strategies with lines

0
pages 66-67

Nansha - Dogguan

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pages 72-73

Values

2min
pages 60-61

Zhuhai - Zhongshan

0
pages 74-75

SWOT analysis and matrix

0
pages 58-59

Problem statement

2min
pages 54-57

Conceptual framework

15min
pages 16-23

Land use

1min
pages 38-39

Air quality

1min
pages 50-51

One country, two systems

1min
pages 36-37

Evolution of the region

2min
pages 10-11

Agricultural land and urban villages

1min
pages 40-41

Three olds

1min
pages 42-43

Introduction

2min
pages 8-9
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