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<br />Transportation Safety Action Plan
<br />CITY OF PLEASANTON
<br />Subtask 3.1 Background Documents Review
<br />The purpose is to ensure the PTSAP visions and goals are aligned with prior planning efforts. The TJKM Team will collect and review existing
<br />programs, policies, and activities, and provide a summary of current efforts to address transportation safety within the City. The team will also
<br />review strategies that other cities and counties are using to address safety, identify programs that have evidence of measurable success, and
<br />provide an assessment of the most effective and efficient methods used to achieve outcomes. We will summarize the contents and key
<br />transportation, and safety elements of the documents reviewed in a Technical Memorandum. TJKM will research other jurisdictions and
<br />programs statewide and nationally to identify and share best practices and strategies.
<br />Subtask 3.2 Collision Data
<br />TJKM will collect data for severe and fatal crashes occurring over the last five years in the
<br />City of Pleasanton. TJKM will obtain the latest five years of crash data from various sources
<br />including TIMS and SWITRS, and Crossroads for crosschecking. We will reference
<br />supplemental information from the City, such as additional collision data or a complaint
<br />database, if available. We have extensive experience working in various databases and the
<br />interrelations among attributes. In addition, we will reference supplemental information from
<br />City records, such as complaint database, local enforcement reports, if available. We will
<br />also obtain statewide statistics and collision data for comparison. The informal sources
<br />include complaint databases, concerns received from residents and businesses at different
<br />meetings as well as field observations from traffic patrol unit, paramedic, and street
<br />maintenance teams. TJKM will augment these formal and informal sources with its own
<br />extensive field observations that will confirm, clarify, and extend the level of data gathering and analysis efforts. Our extensive experience
<br />managing similar records gathering and analysis has shown that not all collision reports have all necessary information, and, in many cases,
<br />some collisions do not make it to the records. Therefore, detailed review and analysis of the available records and field observations are
<br />extremely important before initiating crash analysis. TJKM will use functionally classified road data, provided by the City, as well as transit,
<br />bicycle, and pedestrian facility datasets, for base mapping and analysis. Road data may be augmented with volume, speed, and horizontal
<br />curvature data, pending availability.
<br />Collision Dashboard (Value Added Task): TJKM understands that after the project is complete, the City will take on the responsibility of
<br />updating the information and tracking progress over the years.
<br />Recreating content and analysis can be a tedious and long endeavor for
<br />any staff member, regardless of their expertise. To streamline the
<br />process and make this task easier, TJKM has developed a web-based,
<br />interactive user-friendly data dashboard to conduct collision analysis
<br />using GIS maps, implementable actions, and performance measures.
<br />This tool can be used to create content for a variety of different purposes
<br />that can include displaying on the City’s website progress updates
<br />versus defined targets, updating presentations for Board Meetings, or
<br />creating information to be shared in various public forums. We will
<br />develop the dashboard, taking into account City’s requirement. The dashboard will be used throughout the project. The Level of Effort for this
<br />Value-Added Task is listed as separate line item in our proposed Level of Effort.
<br />Subtask 3.3 Existing Five-Year Crash Analysis (Systemic Analysis)
<br />The TJKM Team will conduct a citywide safety analysis for all collisions, with an emphasis
<br />on fatal and serious injury crashes for at least the past six years. This will be a data-driven
<br />process including the following steps:
<br />• Collision Trend: Analyzing and summarizing collision distribution including severity,
<br />travel mode, trend over time, lighting conditions, weather conditions, time of day,
<br />collision type, and violation category.
<br />• Collision Profile: Combining collision factors to identify prominent collision types.
<br />We will produce GIS-based mappings, charts, and other visualizations to help inform
<br />decision-making. We will summarize the collision analysis and maps in a Technical
<br />Memorandum.
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