Enterprise Database Solutions
Common+Ops has teamed-up with GeoInnovative Solutions to spatialize today’s enterprise data. Nearly every aspect of an organization is driven by databases - from logging project hours, to tracking assets and managing finances. GeoInnovative Solutions specializes in infusing enterprise data with spatial components in order to address questions that have long been difficult to answer with traditional database tools. The strategic partnership between GeoInnovative Solutions and Common+Ops enables clients to benefit from spatialized databases in the application areas of:
- Building Information Modeling (BIM)
- Space and Facilities Management
- Utilities
- Transportation Planning
- Land Use and Urban Planning
- Epidemiology
- Natural Disaster Planning
- Security
Find out about how a spatialized database solution assisted a major University in numerous facets of its management operations. Read the case study below
Case Study
'Spatializing' the University of Utah's Enterprise Data
GeoInnovative Solutions built a single application for facility management and business operations which is titled the University of Utah Spatial Database (or UUSD). This single data repository stores data about the basic surface elements like buildings, sidewalks, and road, but also data representing infrastructure such as water, electrical, sewer, and heating systems. This single database also host intra-building information for approximately 600 buildings. This database enables space planners to track leased space (who is in it, who is paying for it, rates, and expiration dates), as well as plan moves, account for construction costs and schedule courses and workshops. Additionally, UUSD has expanded to incorporate the university’s irrigation system, gardener areas, the state arboretum, and is used for identify handicap accessible routes. The office of long range planning has also utilized this database to determine maximum building heights for future growth in order to not interfere with view corridors or microwave communication. Ultimately, the general public also benefits from the UUSD. The data is served over the web (www.map.utah.edu) which enables users to identify buildings, what departments are in the buildings, and it identifies place to eat on campus.
Learn how population modeling utizling time and space greatly improves travel/transportation demand predictions. Read the case study below.
Case Study
Travel Demand Prediction using Synthetic Population Modeling
Travel demand modeling is only as beneficial and effective as it is accurate. Current software solutions such as TRANSIMS© and UrbanSim© have led in modeling the impacts of urban change. However, since they implement the four- step model (4SM), which has been proven faulty, their ability to accurately model travel demand is greatly limited. Common+Ops’ strategic partner, GeoInnovative Solutions, developed a new methodology for generating travel demand data along Utah’s Wasatch Front. The method resulted in greatly increased spatial and temporal data resolutions. Additionally, the methodology incorporates trip chaining. Lastly, through the use of an activity-based approach, this new methodology accounts for many aspects of complex and intertwined decisions related to where a population participates in out-of-home activities, when, for what duration, and with whom. Contact Common+Ops for additional information on this revolutionary modeling technique.
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