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Form-Based Code Revisited: Leveraging Geographic Information Systems (GIS) and Spatial Optimization to Chart Commuting Efficiency Landscapes under Alternative City Planning Frameworks
by
Reza Mortaheb
Reza Mortaheb
Dr. Reza Mortaheb is an architect, city planner, and geospatial data scientist. He holds a degree in [...]
Dr. Reza Mortaheb is an architect, city planner, and geospatial data scientist. He holds a master’s degree in architecture and a master’s degree in urban and regional planning from the KTH Royal Institute of Technology. Additionally, he earned a Ph.D. in Urban Systems from NJIT and Rutgers University. He is currently affiliated with San Diego State University and the University of California at Santa Barbara. His research interests span urban location modeling, spatial optimization, GeoAI, and planning support systems for smart cities.
1,2,*
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Piotr Jankowski
Piotr Jankowski
Prof. Piotr Jankowski is a Professor of Geographic Information Science and the Director of the Joint [...]
Prof. Piotr Jankowski is a Professor of Geographic Information Science and the Director of the Joint Doctoral Program in Geography between SDSU and UCSB. Before coming to San Diego State in 2003 he held faculty appointments in Geography at the University of Idaho (1989–2001) and in Geoinformatics at Westfaelische Wilhelms Universitaet in Muenster, Germany (2001–2002). He holds an M.S. from the Poznan University of Economics and a Ph.D. from the University of Washington. His research focuses on models and methods of spatial decision support, participatory GIS approaches to planning and decision-making, and sensitivity analysis in space-time models. He has co-authored two books: ‘Geographic Information Systems for Group Decision Making’ (2001), ‘GIS for Urban and Regional Environments: A Spatial Decision Support Approach’ (2009), and his work has been published in over 100 peer-reviewed journal publications. He has researched and taught in Austria, Brazil, Germany, Ireland, Italy, New Zealand, and Poland. He is the recipient of the 2018/19 SDSU Alumni Distinguished Faculty Award.
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Alan Murray
Alan Murray
Prof. Alan Murray is a Professor at the Department of Geography. He earned a BS in Mathematics, a in [...]
Prof. Alan Murray is a Professor at the Department of Geography. He earned a BS in Mathematics, a Master’s in Statistics and Applied Probability, and a PhD in Geography, all from UC Santa Barbara. After his PhD, he was a Professor in the Department of Geography at Ohio State University (as well as Director of the Center for Urban and Regional Analysis), a Professor in the School of Geographical Sciences and Urban Planning at Arizona State University, and a Professor in the College of Computing and Informatics as well as the School of Public Health at Drexel University prior to his return to UC Santa Barbara at the end of 2015. His research and teaching interests include geographic information science; spatial optimization; emergency response, health informatics; urban growth and development; land use planning; urban, regional, and natural resource planning and development; and, infrastructure and transportation systems.
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Marcos Bastian
Marcos Bastian 3
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Department of Geography, San Diego State University, San Diego, CA 92182, USA
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Department of Geography, University of California at Santa Barbara, Santa Barbara, CA 93117, USA
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Urbanism + Planning, AECOM, Orlando, FL 32801, USA
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Author to whom correspondence should be addressed.
Land 2024, 13(8), 1190; https://doi.org/10.3390/land13081190 (registering DOI)
Submission received: 7 June 2024
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Revised: 22 July 2024
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Accepted: 26 July 2024
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Published: 1 August 2024
Abstract
The core promise of land use and zoning reforms is to metamorphose the car-dominated urban spatial structure—which is the legacy of use-based, modernist land use and transportation planning of the past century—into human-centered forms of urbanism characterized by walkable, accessible, transit-friendly, ecologically sustainable, equitable and resilient urban fabrics. This empirical study aims to measure the effectiveness of a reformed city planning framework, known as the form-based code (FBC), in terms of optimizing journey-to-work trips. To this end, the study integrates geographic information systems (GIS) and spatial analysis techniques with linear programming, including a variant of the transportation problem, to evaluate aggregated and disaggregated commuting efficiency metrics. Utilizing the zonal data (ZDATA) for the Orlando metropolitan region, the proposed models account for the commuting terrains associated with three major workforce cohorts, segmented along key industry sectors, within the context of three urban growth scenarios. The findings suggest that the FBC system holds the potential to enhance commuting patterns through various place-based strategies, including juxtaposing, densifying, and diversifying employment and residential activities at the local level. At the regional level, however, the resultant urban form falls short of an ideal jobs–housing arrangement across major industry sectors.
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MDPI and ACS Style
Mortaheb, R.; Jankowski, P.; Murray, A.; Bastian, M.
Form-Based Code Revisited: Leveraging Geographic Information Systems (GIS) and Spatial Optimization to Chart Commuting Efficiency Landscapes under Alternative City Planning Frameworks. Land 2024, 13, 1190.
https://doi.org/10.3390/land13081190
AMA Style
Mortaheb R, Jankowski P, Murray A, Bastian M.
Form-Based Code Revisited: Leveraging Geographic Information Systems (GIS) and Spatial Optimization to Chart Commuting Efficiency Landscapes under Alternative City Planning Frameworks. Land. 2024; 13(8):1190.
https://doi.org/10.3390/land13081190
Chicago/Turabian Style
Mortaheb, Reza, Piotr Jankowski, Alan Murray, and Marcos Bastian.
2024. "Form-Based Code Revisited: Leveraging Geographic Information Systems (GIS) and Spatial Optimization to Chart Commuting Efficiency Landscapes under Alternative City Planning Frameworks" Land 13, no. 8: 1190.
https://doi.org/10.3390/land13081190
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