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7250 N. 16th Street, Suite 300 |
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Priority Programming & Database Analysis |
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Client: Lima & Associates expanded and adjusted the previously established prioritization-ranking scheme to account for additional programming requirements during the upcoming programming cycle. Possible additions to the ranking methodology, such as environmental factors and economic impact analysis, were identified and incorporated. Upon completion of these updates, project prioritization was conducted. This included researching new data items needed, updating the ranking methodology, collecting new data items needed, performing additional calculations such as level of service and cost, summarizing data, defining ranking weights, running the prioritization, and ranking major projects for programming.
Client:
Arizona Department of Transportation Lima & Associates prepared an ADOT priority programming manual to be a guide for the annual development the Five-Year Transportation Facilities Construction Program and to effectively communicate the priority programming process to stakeholders. The current state and federal regulations and policies related to priority programming were documented. Also, other related planning and project development activities such as MoveAZ and current scoping procedures were reviewed. Lima documented the current priority programming process and products, including a description of the overall process and project selection methodology, a flow chart, and an annual schedule.
Identification And Analysis Of Low Volume Dirt Roads On-Call Candidate Assessment Report Client:
Maricopa County Lima
& Associates reviewed GIS data provided by the Maricopa County
Department of Transportation (MCDOT) and identified items needed for the
new dirt road database. Evaluation criteria for paving a dirt road were
identified through coordination with MCDOT. Next, Lima & Associates
designed the database structure for the new dirt road database in ArcGIS
9.0 and created a geodatabase to house the new dirt road dataset. Areas
where at least 15 homes access a dirt road were identified using aerial
imagery, and then these dirt roads were added to the dataset. The database
was then populated with evaluation data for each dirt road. A matrix displaying
the project evaluation criteria was created in MS Access, and a map book
setup was created to view the county area divided into sections. Finally,
a Candidate Assessment Report (CAR) was prepared documenting the results
of the study. |
