Autonomous Vehicle Good Citizenry Standard [Supporting Dataset]

Details

• Alternative Title:
  New York City Equitable Zoning ; Code for MATSim-NYC project ; Equitable-Zone-Design-Algorithm
• Creators:
  Namdarpour, Farnoosh ; Chow, Joseph Y. J. ; Liu, BingQing
• Corporate Creators:
  Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART) ; New York University Rudin Center for Transportation Policy and Management
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Autonomous Vehicles Data Analysis Data Collection Data Privacy Data Aggregation Equity (Justice) Robots Standards Sustainable Transportation
• DOI:
  http://doi.org/10.5281/zenodo.7733664 https://doi.org/10.5281/zenodo.7430184
• Resource Type:
  Dataset
• Geographical Coverage:
  New York;United States
• Edition:
  Final Report, 3/1/2021-5/31/2022
• Corporate Publisher:
  Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
• Abstract:
  To establish a framework for considering these wraparound AV impacts in New York City, the NYU Rudin Center for Transportation Policy and Management led a multi-stakeholder initiative in conjunction with NYU’s C2SMART, USDOT University Transportation Center. The team hosted three workshops in December 2021 addressing issues and opportunities in seven topic areas: Local Governance, Community Outreach, Integration with Public Transit, Equity, Accessibility, Safety and Data Privacy. Participants represented the public and private sectors, advocacy and civic organizations, and academia. In addition, the research team conducted a quantitative study of equitable deployment of new mobility in New York City. The study finds that the ideal data aggregation level depends on the reliability of the public data collected for that community and recommends a new tool to help design the appropriate data structure for data sharing. Based on this foundational research and stakeholder input, seven mobility policy principles are presented as a preliminary framework for approaching the wraparound policies concerning the introduction of autonomous vehicles to New York City: safety, serve all NYers equitably, engage NY's diverse communities, coexist with public transportation, intelligent interactions with the city, New York City’s ongoing sustainability efforts, and public-private partnerships.
  
  The total size of the described zip file is 11.278 GB. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. Any text editor or spreadsheet program will open .csv files. Docx files are document files created in Microsoft Word. These files can be opened using Microsoft Word or with an open-source text viewer such as Apache OpenOffice. File extension .md is a standard markdown file and can be opened in a basic text editor. Python Files hold python project. They can be opened using open-source software such as PyCharm. YML files are markup language files independent of a specific programming language. These files can be used to specify settings in different applications and programs. These files can be opened using open-source text readers such as Notepad. File extension .gitignore is associated with Git, a version control system developed by Linus Torvalds for various platforms that can run on local machine also as server app. These .gitignore files are text configuration files used by Git used to determine which files and directories to ignore, before user make a commit (for more information on .gitignore files and software, please visit https://www.file-extensions.org/gitignore-file-extension). XML files are a markup language file that holds data. They can be opened using open-source programs such as Notepad or any text editor. The following file types are standard for GIS mapping software: AUX, CSF, DBF, PRJ, SBN, SBX, SGML, SHP, LOCK, SHX, CSF, CPG, LYR, MXD, FDBINDEXES, GDBTABLE, GDBTABLX, ATX, SPX. Because the files pertain to map layers and images, they are best viewed using the software that the team used or with any open source 2D and 3D mapping software. JAVA files are files that contain java bytecode. They can be opened with java software. GZ files are an compressed archive file. These files are used on Unix operating systems for filing zipping. They can be unzipped using command prompt or open-source programs such as 7-Zip. Desktop Services Store files, DS_STORE File, are Mac OS files that stores desktop attributes such as icons and colors. They are only used by Mac OSs and don't require additional software. IPYNB files are document files created in Jupyter Notebook. These files can be opened using the open-source application Jupyter Notebook. Text files can be view in notepad or any document reading software. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs.
  
  
• Content Notes:
  National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
• Format:
  ZIP
• Funding:
  69A3551747119
• Collection(s):
  University Transportation Centers Autonomous Vehicles
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/70510/dot_70510_DS1.bin
• File Type:
  [BIN ]