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Grant: Strategic Projects Supplemental Competition

University of New Brunswick

$97,420.00

Development of a high-fidelity urban spatial information system for advanced land use and transportation planning

FY 2007-08

Summary
Through this Strategic Project, the research team will develop a high-fidelity urban spatial information system that uses geographic information system (GIS) and remote sensing technology to extract detailed intra-zone land cover/use information quickly and consistently to enhance transportation and land use planning. Transportation and land use modeling and planning have traditionally been based on aggregated zonal information, such as census population and employment data. The zone-based modeling framework was established because of limited computation capability in the past and difficulty and expense related to collect detailed information within individual zones. A fundamental problem with this traditional zone-based modeling approach is that intra-zone land use spatial distribution and variation is missing. Moreover, these zonal data cannot reveal the scales of economic activities or land use type and intensity. In many cases, other information, such as census and GIS data, has to be used as a proxy, which could be misleading because such data is often dated and lacks detailed intra-zone land use spatial distribution and intensity information. The advancements in information technologies have largely solved the above problems: (1) the powerful computing facilities available today rarely limit the number of zones to be used; (2) remote sensing offers high-resolution air and satellite images from around the world, from which detailed information can be extracted. However, the task of transferring the technologies into practical applications has yet been accomplished. The system to be developed through this project will integrate traditional GIS, census data, extracted land use information, and remotely sensed imagery. The system will complement traditional planning approaches in many ways, such as its timeliness and richer land use information. It will be useful for many public and private organizations, including metropolitan planning offices, environmental protection agencies, and highway and transportation authorities. Canadian society will benefit from more sensible and realistic urban development plans that will lead to vibrant, sustainable and healthy cities and towns.
Program
Strategic Projects Supplemental Competition
Location
New Brunswick, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
358742-2007
Name nom
Zhong, Ming
Department département
Civil Engineering
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2007
Award amount
97420
Program id
STPSC
Program name en
Strategic Projects Supplemental Competition
Program name fr
Projets stratégiques compétition supplémentaire
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1064
Committee name en
Strategic Advanced Communications and Management of Information 1
Committee name fr
Stratégique -Technologies avancées de communication et de gestion de l'information 1
Area of application code
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
1003
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Transportation engineering
Research subject fr
Génie du transport
Partie
1
Nb partie
2
Application title
Development of a high-fidelity urban spatial information system for advanced land use and transportation planning
Keyword
NA
Application summary
Through this Strategic Project, the research team will develop a high-fidelity urban spatial information system that uses geographic information system (GIS) and remote sensing technology to extract detailed intra-zone land cover/use information quickly and consistently to enhance transportation and land use planning. Transportation and land use modeling and planning have traditionally been based on aggregated zonal information, such as census population and employment data. The zone-based modeling framework was established because of limited computation capability in the past and difficulty and expense related to collect detailed information within individual zones. A fundamental problem with this traditional zone-based modeling approach is that intra-zone land use spatial distribution and variation is missing. Moreover, these zonal data cannot reveal the scales of economic activities or land use type and intensity. In many cases, other information, such as census and GIS data, has to be used as a proxy, which could be misleading because such data is often dated and lacks detailed intra-zone land use spatial distribution and intensity information. The advancements in information technologies have largely solved the above problems: (1) the powerful computing facilities available today rarely limit the number of zones to be used; (2) remote sensing offers high-resolution air and satellite images from around the world, from which detailed information can be extracted. However, the task of transferring the technologies into practical applications has yet been accomplished. The system to be developed through this project will integrate traditional GIS, census data, extracted land use information, and remotely sensed imagery. The system will complement traditional planning approaches in many ways, such as its timeliness and richer land use information. It will be useful for many public and private organizations, including metropolitan planning offices, environmental protection agencies, and highway and transportation authorities. Canadian society will benefit from more sensible and realistic urban development plans that will lead to vibrant, sustainable and healthy cities and towns.