| dc.contributor.author | Crawford, Zachary | |
| dc.description.abstract | This research aims to show the capabilities of smart city modeling
using GIS and other accessible information to provide accuracy and
precision. Through this data collection, architects and urban planners
can strategically alter urban areas to promote user experience and
contentment. Current well-established cities can become known as
smart cities, or cities that are data driven. This collection of data, such
as traffic control, can be used to improve the user experience through
efficiency and correct implementation. The idea of a "walkable city" is
also reinforced as an important design solution that directly impacts
the user experience in this urban environment. To do this, urban
planners must use data from smart cities to make these decisions. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Smart City Modeling: Using GIS Capabilities for Urban Areas | en_US |
| dc.type | Working Paper | en_US |
| dc.date.accessioned | 2024-05-06T16:15:55Z | |
| dc.date.available | 2024-05-06T16:15:55Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://hdl.handle.net/10365/33804 | |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.college | Arts, Humanities, and Social Sciences | en_US |
| ndsu.department | Architecture | en_US |
| ndsu.program | Architecture | en_US |
| ndsu.course.name | Advanced Architectural Design | en_US |
| ndsu.course.number | ARCH 771 | en_US |
| ndsu.advisor | Mahalingam, Ganapathy | en_US |
