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Ahoura Zandiatashbar


[Zandiatashbar, Ahoura]
  • GRADUATE RESEARCH ASSISTANT I, College of Architecture, Planning and Public Affairs


Mr. Ahoura Zandi(atashbar) is an Urban Planning and Public Policy doctoral candidate at UT Arlington College of Architecture, Planning, and Public Affairs (CAPPA) where he is also an interdisciplinary urbanist researcher at the Institute of Urban Studies and Center for Transportation, Equity, Decisions and Dollars (CTEDD). Mr. Zandi presented and published the results of his research activities in local and international academic journals and conferences, please visit Publications profile.

During his doctoral career, he drew upon his statistical and geospatial analytical skills and conducted multiple practical and academic projects (available in Projects) assessing the economic outcomes of built environment, community development and economic growth via knowledge-based urban development initiatives, and planning for innovation eco-systems. Detailed information about his competencies >>> 

​Mr. Zandi was also recognized by D-Magazine as a CAPPA star student, received the 1st Place Award from United States Environmental Protection Agency, Best Presentation Awards from Association of Collegiate Schools of Planning and UT-Arlington’s The Annual Celebration of Excellence by Students for my research and academic activities.

Professional Preparation

    • 2014 M. Arch II in Architecture and UrbanismRensselaer Polytechnic Institute
    • 2019 PhD in Urban Planning and Public AffairsUniversity of Texas at Arlington


    • Sept 2014 to Present Graduate Reseach Assistant
      University of Texas at Arlington   Office of the President   Office of the Provost and Vice President for Academic Affairs   College of Architecture, Planning and Public Affairs   C-TEDD


  • Membership
    • Jan 2014 to Present American Planning Association

Awards and Honors


      Journal Article 2018
      • Zandiatashbar, A., & Hamidi, S. (2018). Impacts of transit and walking amenities on robust local knowledge economy. Cities.

        {Journal Article }
      • Hamidi, S., Zandiatashbar, A., & Bonakdar, A. (2018). The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study. Technological Forecasting and Social Change.

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      • Hamidi, S., & Zandiatashbar, A. (2018). Does urban form matter for innovation productivity? A national multi-level study of the association between neighbourhood innovation capacity and urban sprawl. Urban Studies, 0042098018767002.

        {Journal Article }

      Journal Article 2013
      • Mohseni, M. R., Zandiatashbar, A., & Masud, M. (2013). A comparative study of the physical elements in Shiraz traditional districts with the features of CPTED approach.

        {Journal Article }


  • Past
      Does Built Environment Matter for Innovation? A Quantitative Study of the Physical Assets of Innovation Districts in the United States
      A growing number of leaders, policy makers, developers, city influencers, and researchers are working on unleashing the concealed economic potential of cities. “Innovation District” is a recent urban model that has emerged as the result of the U.S. economy’s transformation from traditional industrial economies to the knowledge-intensive. The distinguished built environment characteristics of “Innovation Districts” are density, walkability, land use mix, and enhanced transit accessibility. They are identified as the contributors to the innovation-driven economic prosperity through business clustering, creative economy, and regional economic resiliency. A large body of theoretical and qualitative studies have sought to shed a light on the concept of Innovation District. There is, however, a lack of quantitative evidence that support these studies. This national study seeks to fulfill this gap in the literature and examine the relationship between the built environmental characteristics, such as walkability, transit quality and urban form, and innovation generation at the neighborhood level. The authors used Multi-level Modeling (MLM) to account for the built environment characteristics at both neighborhood and regional levels. Accounting for economic and socio-demographic cofounding variables, the authors found that innovative firms tend to locate more in dense, pedestrian-friendly, and transit accessible neighborhoods. The authors also found that a typical neighborhood in a compact region is more attractive for innovative firms than a sprawling region. The findings confirm the significance of urban form and its physical features on the notion of Innovation Districts theorized by previous studies.