HEXAGON TRANSPORTATION CONSULTANTS

During this task, we will also collect limited data about intersection accessibility, such as availability of curb ramps at the major intersections. We will digitize the data collected into a GIS layer for analysis under task 3.2. Task 2 Deliverables: Memorandum summarizing document review, Updated Bicycle and Pedestrian Infrastructure Inventory (GIS file), Major Intersection Pedestrian Infrastructure Inventory (GIS file), One (1) data collection site visit Task 3: Data Collection and Analysis The team will review a range of existing data sources related to active modes to identify areas of high bicycle and pedestrian demand, high-stress locations for bicyclists and pedestrians, and network gaps and barriers, to ensure that the proposed system meets the needs of users of all ages and abilities. Task 3.1: Demand Analysis: The team will identify existing demand for bicycle and pedestrian trips in Pleasanton. We will determine key origins and destinations across the city, utilizing the (a) City’s existing pedestrian and bicyclist count data, (b) micromobility data available through Replica*, (c) community input gathered during Task 4, and (d) the location of schools, transit centers, parks, Downtown, and community facilities. The team will map these key origins and destinations and places with high micromobility use, which will inform locations of high demand where bicycle and pedestrian infrastructure should be added or enhanced. The team will also review adjacent agencies’ bicycle and pedestrian plans as well as emerging micromobility programs (such as the anticipated Dublin bikeshare program) to identify potential areas of collaboration that may enhance access to destinations Pleasanton residents are trying to access outside of the city limits. The team will work with City staff to determine the best approach for updating the City’s count data. Our experience has taught us that traffic counts are most useful later in the project timeline, once priority projects and locations have been identified. Our fee estimate assumes that we will work with a third-party count provider to collect turning movement counts at up to ten high priority locations in the city. We can also supplement the count data using citywide Replica data. *REPLICA is an activity-based travel demand model that uses big data sources to calculate multimodal travel activity. Toole Design has a Replica subscription that allows the team to provide the data to clients free of charge. As an alternative or supplement to collecting volume, speed, and activity data, Toole Design can use the firmwide Replica subscription to extract vehicle volumes and speeds for all of Pleasanton (including local streets), and some bicycle and pedestrian volume data. Task 3.2: Safety and Stress Analyses: Comfort is a key factor in whether individuals choose to walk or ride a bike, whether it’s for commuting, everyday needs, recreation, or intermodal transportation connections. Low-stress connectivity improvements create more usable route options and shorter trips (i.e., greater convenience), thereby increasing the likelihood that people will walk or ride a bicycle. The team proposes using two analyses – Pedestrian Crossing Stress Analysis (PxLTS) and Bicycle Level of Traffic Stress (LTS) Analysis – to identify high stress intersections and corridors within the City. Both analyses consider the roadway context (number of lanes, traffic volumes, posted speeds) and the presence of bicycle and pedestrian facilities to calculate a stress score from Level 1 (least stressful) to Level 4 (most stressful). Docusign Envelope ID: A66136B4-F064-40A0-A06F-3AE250BD141BDocusign Envelope ID: 4FE980F4-6E17-4C71-A130-20038910AA27