james.menendez@alliedmission.com
Simple Initial Questions:
1. How are geographic areas selected or assigned?
2. Can multiple parties work on the same area?
3. Is there a preference or targeted benefit from starting in a community area that is part of a larger SMSA that will prove effective for broader analysis, testing/proofing, and deployment?
4. Is there additional value from leveraging both urban and rural community examples for initial research to drive a broader data and analytic set and provide correlations between them to gain broader coverage?
5. Are sustainability factors meaningful to add to scoring models for infrastructure or are broader ESG Factors meaningful to behavioral analysis? This may depend on the community(ies) that are targeted for analysis.
6. Are there restrictions or limitations on data elements that can be generated collected?
Example Prompts:
• Prompt: “Identify existing routes for pedestrians (people walking and using mobility devices) to get from their homes to a grocery store; suggest infrastructure improvements to increase by 15 percent the number of people who can reach a grocery store by such modes within 20 minutes.”
• Question: Are there any other key non-infrastructure related destinations that should be considered in the analysis tool?
• Prompt: “Awardees will use improved data collection, data fusion, and analysis methods to build tools that help identify network gaps, test and/or propose solutions, and display the impact of network and operational changes on mobility, access and accessibility, equity, safety, and other characteristics.”
• Question: Is a successful analytical tool weighted the same across each of the characteristics above? Will all characteristics also by weighted the same for each demographic group?
• Prompt: “Data Gaps and Analysis: The available data can also be biased towards certain populations, income levels, or geographies.”
• Question: How will inconsistent data collection methods be evaluated when reviewing Phase 1 awardee analytical tools?
• Question: Is the use of open-source or privately procured data sets permissible?
• Prompt: “The proof-of-concept report should include a list of the data that awardees have generated, a list of data they plan to generate if selected for Phase II, and the characteristics or features of those data; a description of methods used to generate the data, an evaluation of the scalability of those methods, and assessment of data coverage limitations and gaps; and, a transparent validation of data accuracy.”
• Question: Will a budget be required to be provided regarding the use of Phase I proceeds? Is a list of major capital-intensive equipment used in Phase 1 required to be disclosed? For example, if a company were to already have an expensive piece of equipment on hand that allowed them to succeed in Phase 1 but would create budget issues at scale, would this be required to be disclosed?
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Sophie Abo commented
The offeror should select one (1) contiguous geographic area representing both urban and suburban development patterns and different roadway contexts (residential, commercial, industrial, civic, recreational/natural, etc.) and comprising at least 250,000 people. The offeror may determine the geographic area boundary.
The offeror is expected to determine the number of data elements to include. Offerors are not required to include all listed data elements and may add other elements at their discretion. The inclusion of as many data elements as practicable is desired, given the parameters of the performance period and funding for each phase.
The goal of Phase I is to demonstrate the potential of novel data generation and processing methods to produce useful content for proposed Complete Streets analysis capabilities. The U.S. DOT does expect Offerors to build a software solution until Phase II.
Data are expected be maintained in a secure environment, with proper administrative and technical safeguards and measures in place to prevent unauthorized access, disclosure, acquisition, destruction, use, or modification. Offerors are expected to be mindful of reidentification and other risks of data sharing and have an approach to minimize these risks in the final product. Any data collected, developed, received, transmitted, or stored on the ‘cloud;’ shall be done so using a cloud service provider that meets security requirements equivalent to those established by the Government for the Federal Risk and Authorization Management Program (FedRAMP) Moderate baseline. The Government does not expect to receive any data with Personally Identifiable Information (PII).