Smart Technology Shaping the Future Airports, Buildings, Shopping Centers, Municipalities, Energy, Schools, Smart Grids. Logistics & Facilities Management With Konectcity Technology Everything is possible™ SMART CITY 2020 - CITY OF CAMARILLO A Smart City Geo Spatial Decision Platform That Offers Instant Access & Control Of All Available Tools, Resources & Data SMART CITY 2020 - CITY OF CAMARILLO PROJECT UNDERSTANDING OF INTERNAL DEPTARTMENTS Public Works • • • • Street Lighting Roads Water Sewer Community Development • • • • Planning Permits Zoning Compliance – Codes, Regulations, Laws Economics Development • • • • Businesses Vacancies Locations Zoning Building & Safety • Business Tax Division • Business Intelligence • Public Safety SMART CITY 2020 - CITY OF CAMARILLO – PROJECT UNDERSTANDING Must Have The Following • • • • • • • Adoption by Users (City Workers) User Friendly Interface UX/UI Permissioned & Secure Access Control Realtime Information Cybersecurity Measures Project & Document Tracking Pipeline Status Goals Of Proposed System • • • • Get To Decision Faster Reduce Time To Permitting Improve Customer Satisfaction Lower Pricing Who Will The System Serve • • • • • • Citizens of Camarillo Builders/Developers Landowners Business Owners Building Owners Tenants Questions? • • • • • • Describe The Current Systems Process Flow Diagram What Steps Are Taken To Arrive At Yes? Budget & Timelines Will You Require Citizen Interface? (This could be web browser or at City Office) LAND USE CONFLICT IDENTIFICATION STRATEGY – MODEL APPLIED Defining goals and objectives In the first step, goals and objectives are defined. They be a hierarchical set of statements, where the goal defines what should be accomplished, and the objective defines how this goal should be achieved. Data inventory Step two consists of data inventory. After defining the goals and objectives, suitable data are selected for the suitability analysis creating a matrix with the objectives, and then add potential datasets for each objective. Creation of land-use suitability maps The third step is the creation of land-use suitability maps. Our Model Builder in ESRI’s ArcGIS is used to create the models for all individual goals and objectives. The Model Builder can be seen as a graphic programming environment within ArcGIS. All tools in our platform can be used to create complex geographical analysis. Finally, environmental settings of the models in Model Builder needed to be set. In the environmental settings it is possible to set a large number of settings for the output file. BUILDING A SUBJECTIVE MODEL The final outcome is always a map with suitability values with a scale ranging from suitable to non suitable. For example wetlands for flood storage have only two classes, suitable and non suitable. On the other hand, topographical suitability adopted in the agricultural model offers a larger scale based on slope steepness that defines suitability for agricultural use. Most of the suitability maps we create are based on the distance from a specific feature. The closer to a school, the higher its suitability for residential land-use. This type of suitability always ranges between 1 and 9, it’s an international based standard. However, the distance between value 1 and 9 may differ between features. For a certain subobjective such as public transportation, nearest sanitary assistance and whatever is needed as importance of having a specific feature or service at close range. With sets of data available we can integrate and consider all different values of suitability. SUBJECTIVES AND LAYERS Subobjectives are based on one or more layers, depending on what they want to represent. Sometimes a combination of more layers is needed to cover a certain topic. To illustrate, a subobjective from the urban model aimed at finding places proximal to medical centers. One dataset with hospitals and another dataset with medical centers are combined to cover the topic of health care. Then the Euclidean distance from these health centers is calculated, and reclassified in values between 1 and 9, where 9 represent highly suitable areas, and 1 low suitable areas. All these steps are modelled within our platform with a map as final result Weighting all subobjectives and objectives requires a substantial knowledge even though data are available. It is paramount to determine what we want to see and represent so that all objectives and subjectives forming maps and layers can be properly combined into our geospatial engine. STEPS TO DEVELOP A SUBOBJECTIVE EUCLIDIAN DISTANCE FROM HEALTHCARE HEALTHCARE MERGE DATA RECLASSIFIED PROXIMITY TO HEALTHCARE OTHER HEALTH CENTERS FROM SUBOBJECTIVES TO GOALS Soil suitable for residential land use Land proximal to existing l residential and use Land free of flood potential Proximity to schools Quiet areas Proximity to health care Lands free of hazardous waste Proximity to roads Good air quality Proximity to public water and sewers GOALS SUITABILITY TO PREFERENCE Although the meaning of both words lies within the reach of each other, there is a significant difference. Suitability tells us something about the suitability of a single criterion, while preference tells us something about community values based on a number of criteria. As an example, there might be a location with a flood risk, which is not particularly suitable for residential development. However, this part of land is close to other criteria such as schools, hospitals and commercial areas, which make this area very suitable. When considering all criteria, it can become the preferred location to start building a residential area. Furthermore, the construction of dikes can protect the area against floods, which will ultimately make it a highly suitable area for residential development. The outputs of the goals within one land-use category were combined with the use of weights, which then resulted in a single preference output for each land-use category. At this stage, groups of citizens and stake-holders can be added so to express their own preferences in order to come to the final land development lay out. VISUALIZING SUITABILITY AND PREFERENCE MAPS WITH AERIAL PHOTOGRAPHS The power of our platform lies in its ability to display, manipulate, and analyze layers individually or in combination with other layers. Satellite and aerial imagery can be easily overlaid like in a sandwich so that any added intelligence is transparently overlaid on the stack of available maps and once this process is complete, we can filter what is relevant to us, what we want to see and aggregate. URBAN MODEL Four goals are particularly stressed in the urban model: Lands most suitable for residential landuse, office/commercial land-use, retail land-use and industrial land-use Lands suitable for residential land-use Lands suitable for office and commercial land use Lands suitable for retail land use Lands suitable for industrial land use AGRICULTURAL MODEL This category includes the full range of Agricultural uses and can be customized depending upon one’s region and character of agriculture to be found there. Agriculture is subdivided in four goals Lands suitable for croplands (hills, erosion, water, proximity to roads, existing vegetation, history) Lands suitable for livestock, land close to market and distribution, troublesome adjacent land uses such as bad smells incompatible with a proximity of urban development ( land conflict ) Lands suitable for special agriculture, like cannabis, experimental farming, other. Lands suitable for Timberland, Forestry is the recommended land-use for areas with slopes ranging between 22 and 55% Conservation model, public parks, wildlife refuges, etc. Land suitable for protecting biodiversity. Land suitable for protecting water quality, identified lakes, wetlands, rivers and streams with buffers of sufficient size to filter runoff. Native vegetation plays an important role in filtering contaminants and particulates. Lands suitable for protecting important ecological processes such as flood storage and forests or permanently covered green areas. INTEGRATING GIS WITH BUILDING INFORMATION MODELING While GIS information is necessary for planning and operating roads, bridges, airports, rail networks, and other infrastructure in the context of their surroundings, BIM information is key for the design and construction of those structures. Through GIS integration, we blend a layer of geospatial context into the BIM model. What this means, for example, is that GIS can provide insight about flood-prone areas and give designers accurate information to influence a structure’s location, orientation, and even construction materials. GIS information operates at city, regional, and country scales, whereas BIM data applies to designing and building a specific shape or structure. Now, in BIM, we find physical structures at an object level— By adding GIS, we manage that structure in the context of a larger, smarter landscape. A building will be connected to a parcel of land, utilities, and roads. With all GIS and BIM information stored in the cloud, stakeholders in both infrastructure and building projects will be able to manage data in any environment and repurpose that information in other contexts without having to continuously convert data. Using GIS and BIM to bring a spatial dimension into our platform will increase the efficiency of every project being built. Esri and KonectCity are working on improved software interoperability based on the engine UNI . CONCLUSION Our Geospatial engine can elaborate sophisticated GIS models based on available data to which we can add intelligence and BIM information data. It is built to be customized according to landuse suitability and stakeholders’ wishes. In addition, land-use is not focused on a single land-use category, but consists of all sorts of land-use categories that give shape to a country. All land-use categories are divided in goals. Each of them can be further subdivided in objectives. The objectives, on their turn, consisted of subobjectives. These subobjectives contain all themes that are of importance for the objectives. The first category is urban land-use, and is subdivided in four goals: residential, office/commercial, retail and industrial land-uses. The second land-use category is agriculture, and consists of four goals; lands suitable for croplands, livestock, special agriculture and timberland. The last land-use category is conservation. Lands suitable for protecting native biodiversity, for protecting water quality, and for protecting important ecological processes are the three goals that describe conservation. To these list we can add anything as long is land use is concerned.
