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- Your Name as the Card title
- The link to your Module 7 folder in our Autodesk Construction Cloud project
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Shanghai's office building landscape has witnessed significant growth and transformation in recent years. With its dynamic economy and status as a global financial hub, the city boasts a vast array of modern and sophisticated office buildings. These structures showcase innovative architectural designs, advanced technologies, and sustainable features.
In order to better understand the dynamics of Shanghai's office market, it is crucial to delve into the relationship between building height, floor area, and monthly rental prices. Researching this connection would shed light on the factors that influence rental rates, provide insights into market demand, and aid in urban planning and real estate development strategies.
In Shanghai, taller office buildings often command higher rental prices due to their perceived prestige, prime locations, and enhanced visibility in the city skyline. These skyscrapers offer panoramic views, ample space for multinational corporations, and access to modern amenities and services. On the other hand, smaller office buildings or those with fewer floors may cater to smaller businesses or startups, offering more affordable rental options.
Step 1 - Generative Design Framework
Step 2 - Generative Design Study
Step 3 - Generative Design Study Results
Graph of total rent for a month vs. height
Graph of total rent for a month vs. building radius
Graph of total rent for a month vs. building areas
Based on the graph of total rent for a month vs. building areas, I can visually perceive that there is a linear relationship between building areas and total rent for a month. Therefore, when designing office buildings in Shanghai, I will strive to maximize the building area whenever feasible to pursue higher rental income.
The unexpected findings from the Graph of total rent for a month vs. height have given me significant food for thought. I initially assumed that higher building heights would lead to increased monthly rental income. However, the results from the Generative Design Study indicate otherwise. Interestingly, the peak of the monthly rental income did not align with the tallest building height but rather concentrated around 650ft. This realization has prompted me to reflect deeply on the significance of these generated design outcomes, which prove valuable for testing hypotheses and uncovering the need for further research.
The ability for computers to creatively propose alternative solutions within human-defined constraints is indeed useful. It emphasizes the importance of analyzing each specific situation individually, as there may be various factors at play that influence rental income beyond just building height. This reinforces the need for careful consideration and thorough research when designing and evaluating building models.
