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HWKN Develops AI-Planned Commercial District in Central Sharjah, UAE

2025-06-18 09:30:00 英文原文

作者:Written by Antonia Piñeiro

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District 11 in Sharjah, UAE. Exterior render. Image Courtesy of HWKN

Architecture firm HWKN has been commissioned by Al Marwan Real Estate Development to design eleven distinct buildings for a new commercial neighborhood in central Sharjah, the third most populous city in the United Arab Emirates. The district, featuring offices, retail spaces, cafés, childcare and healthcare facilities, specialized institutes, and a mosque, has been fully researched, conceptualized, and planned using Artificial Intelligence (AI).

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District 11 in Sharjah, UAE. Exterior render. Image Courtesy of HWKN

HWKN's District 11 project is located on Sheikh Mohammed bin Zayed Street (311), five minutes from Sharjah International Airport and Sharjah University City, and within walking distance of Al Zahia City Centre and the Al Zahia residential community. The development spans 3 million square feet and includes 11 buildings with 200 commercial units, aiming to attract professionals working in the area, residents from nearby neighborhoods, and visitors. The master plan draws on the firm's "Work Resort" concept, scaled to a neighborhood level. This approach integrates professional workspaces with resort-like amenities in a walkable urban environment.

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District 11 in Sharjah, UAE. Exterior render. Image Courtesy of HWKN
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District 11 in Sharjah, UAE. Exterior render. Image Courtesy of HWKN

Using what HWKN describes as a "reverse engineering process," AI-generated concepts were refined and translated into feasible architectural designs. The AI-driven process followed three key phases: exploration, articulation, and visualization. The resulting office buildings are organized on a grid, each with a distinct interior layout. Designs feature a mix of American-style open plans, compact European-style dimensions, and adaptable structures suitable for hotels or coworking hubs. A central public promenade runs east to west through the development, connecting the neighborhood's mosque with the adjacent residential area.



The AI-generated prompts guiding the design of District 11 were informed by HWKN's research into Sharjah's climate, cultural identity, and urban morphology. According to the firm, these factors influenced digital planning decisions related to massing, shading strategies, and spatial organization, particularly in addressing heat mitigation, collaboration, and walkability. The use of AI aimed to streamline research processes, simulate environmental and programmatic outcomes, and propose a new framework for the structure and social function of office neighborhoods in the Gulf region.

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District 11 in Sharjah, UAE. Exterior render. Image Courtesy of HWKN
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District 11 in Sharjah, UAE. Exterior render. Image Courtesy of HWKN

Other recent urban design projects include MAST's floating neighborhood concept for Rotterdam's disused Spoorweghaven dock, BIG and Dencityworks' design for a new mixed-use waterfront tower in Brooklyn, and Third Nature's regenerative masterplan for Greater Copenhagen. Earlier this year, RIOS and Field Operations unveiled a masterplan to transform Chicago's West Side and the United Center area into a mixed-use neighborhood, while Foster + Partners released images of the reimagined Old Trafford district, including the new Manchester United stadium.

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Cite: Antonia Piñeiro. "HWKN Develops AI-Planned Commercial District in Central Sharjah, UAE" 18 Jun 2025. ArchDaily. Accessed . <https://www.archdaily.com/1031293/hwkn-develops-ai-planned-commercial-district-in-central-sharjah-uae> ISSN 0719-8884

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摘要

Architecture firm HWKN has designed an AI-planned commercial district called District 11 in central Sharjah, UAE. The development includes eleven buildings with over 200 commercial units spanning 3 million square feet, featuring offices, retail spaces, cafes, healthcare facilities, a mosque, and more. Located near key amenities and transport hubs, the project integrates a "Work Resort" concept and was developed through an AI-driven process focusing on climate adaptation and walkability in the Gulf region.