“Civil Lite was specifically designed & developed with the end user in mind, especially the local government user.  It combines powerful GIS technology with proven civil engineering principles for unparalleled infrastructure management power.  Civil Lite provides sophisticated data-management tools, with excellent analytical capabilities while maintaining ease of use and customization.  Our goal is to provide a simple and affordable solution that is not exclusive.  We want you to own it and, more importantly, we want you to use it.  There are a lot of other infrastructure management systems out there, but most are either too expensive or too complex.  Civil Lite is neither, it was designed specifically for you!” – David Palmer, P.E.

INVENTORY TABLE:  center lines, the inventory table holds the basic information associated with each street segment.  This information held in this table is not optional.  It is essential to the operation of the entire Civil Lite process.

 Relative Construction Index (RCI) – The RCI is computed from construction state data and user defined weighted averages.  The RCI is computed for an entire segment and provides relative deterioration information.  The RCI GIS layer gives the user a powerful visualization tool to quickly assess where possible projects are situated geographically and some idea of the relative repair costs.

Raw Inspection Layer – Raw inspection data features linear construction states identified for every lane of every segment in the network.  After selecting possible projects from the RCI layer, the raw data layer provides precise locations of all the construction states identified for a segment, unlike the RCI, that provides a relative index for the entire segment.

Life Cycle Analysis - Civil Lite provides life cycle analyses for every street segment in your network.  Our life cycle computations are a little different.  We use more of a straight-line depreciation of each segment based on some user defined parameters.  Repair costs associated with the life cycles are tied to construction states and the associated user defined cost scenarios.  Life cycles are divided into two sections.  The first section is defined as the useful life of a segment and the second part completes the total life of the segment.  Repair costs are much lower if completed in the useful life portion of the life cycle.

Streets Spreadsheet – The dynamic design of Civil Lite allows the user to view and manipulate inventory data, inspection data, life cycle data, and cost data in tabular form while viewing the corresponding GIS layers, featured on the web viewer, simultaneously.  Not only can you view multiple segments, but you have all the information associated with those segments at your fingertips, in spreadsheet form with spreadsheet functionality.

Dashboards – Civil Lite dashboards provide a quick reference to users for network metrics that are most important to the user.  Dashboards maintain the dynamic functionality between the interactive GIS map and the data associated with each street segment.  Dashboards provide powerful filtering capabilities that can be activated by using built-in filters or by using the interactive GIS map.  Dashboards are for viewing only.  Data can not be edited from the dashboard.

Web Viewer – The Civil Lite web viewer is specifically designed and customized for each client.  The web viewer features layers that are used daily by transportation professionals.  Layers include, but is not limited to, street centerlines, active work orders, bridges, RCI, raw inspection data, proposed projects, FEMA flood zones, etc.  The web viewer also features bridge watershed information and filtering capability.  The web viewer provides the client with a powerful visualization tool that shows the relative Construction Index, the raw inspection data, and the active work orders associated with each segment.  Work orders are symbolized by activity, offering more efficient resource allocation.  The user can see the distribution of possible projects while analyzing associated priority and cost data simultaneously.  The result is data driven decisions that are cost effective and defendable, reaching more constituents, and stretching tax dollars as far as possible.