Evaluating the Safe Routes to School (SRTS) Transportation Program in Socially Vulnerable Communities in San Diego County, California [supporting dataset]
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Up-to-Date Info: To find the latest DOT information on this topic go to: https://doi.org/10.15787/VTT1/QCNL0Z

Evaluating the Safe Routes to School (SRTS) Transportation Program in Socially Vulnerable Communities in San Diego County, California [supporting dataset]

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    • Abstract:
      Child safety concerns are among the strongest impediments to children walking or biking to school, but some students must walk or bike due to financial or other circumstances. These travel modes are more than twice as common among students from low-income households than students from higher income households. The Safe Routes to School (SRTS) program fosters opportunities for students to walk and bike to school safely and routinely. This study provides insights into the SRTS program’s effectiveness and potential to improve walking and biking safety in socially vulnerable communities by evaluating the program’s impact on schools in the Chula Vista Elementary School District, a vulnerable area in San Diego County. (i) A linear regression model was used to assess the program’s impact on each school, and a logistic regression model was employed to identify factors influencing students’ walking behavior. (ii) An SRTS web-based interactive tool (ArcGIS Experience) was developed to identify traffic incident hot spots and facilitate future routing improvements. (iii) A virtual reality (VR) road safety training tool for children was developed, and a case study at Feaster Charter Elementary School was conducted to assess its effectiveness. Twenty-six students played the VR game before and after watching traffic safety educational videos, and observations from the VR session were recorded. (iv) The outreach and deliverables from this study strengthened community collaboration across San Diego County.

      The total size of the zip file is 423 MB. The .pdf file format is an Adobe Acrobat Portable Document Format (PDF) file and can be opened with the Adobe Acrobat software. 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. The most common software used to open .csv files are Microsoft Excel and RecordEditor, (for more information on .csv files and software, please visit https://www.file-extensions.org/csv-file-extension). File extension .json is associated to JavaScript Object Notation file format, a lightweight, text-based, language-independent data interchange format. JSON defines a small set of formatting rules for the portable representation of structured data. It is used by various applications as alternative option to XML file format. The data in a json file are stored in simple text file format and the content is viewable in any simple text editor (for more information on .json files and software, please visit https://www.file-extensions.org/json-file-extension). The following file types are standard for GIS mapping software: CPG, DBF, PRJ, SBN, SBX, SHP, SHX. 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. The .xml file type is commonly used for files written in Extensible Markup Language (XML). XML is a human-readable, machine-understandable, general syntax for describing hierarchical data, applicable to a wide range of applications (for more information on .xml files and software, please visit https://www.file-extensions.org/xml-file-extension). .dbf: The .dbf file extension is traditionally used for database file by many database applications. The original program, which used the DBF file extension for its database, was dBAse. A major legacy of dBase is its dbf file format, which has been adopted in a number of other applications. For example, the shapefile format developed by ESRI for spatial data in a geographic information system uses .dbf files to store feature attribute data (for more information on .dbf files and software, please visit https://www.file-extensions.org/dbf-file-extension). .prj: The .prj file extension is traditionally used for files that contain projects. Projects contain settings, positions of saved windows, development notes and other raw data that won’t be present in the final file (for more information on .prj files and software, please visit https://www.file-extensions.org/prj-file-extension). The .sbn file extension is mainly associated with ArcView / ArcGIS geography software from ESRI. The .sbn file contains binary spatial indexes, which are used only by ESRI software. The format is not documented and is not implemented by other vendors (for more information on .sbn files and software, please visit https://www.file-extensions.org/sbn-file-extension). The .sbx file extension is associated with the ArcView GIS application used to view and edit GIS data. The .sbx file contains spatial index for read-write shape used to fast access to shape files (for more information on .sbx files and software, please visit https://www.file-extensions.org/sbx-file-extension-arcview-spatial-index-for-read-write-shape-file). The .shp file extension is used for ESRI Shape format, a popular geospatial vector data format for geographic information systems software. A shapefile stores non-topological geometry and attribute information for the spatial features in a data set. A shapefile consists of a set of 3 mandatory files, along with several optional files. Each file in the set shares the shapefile name with a different extension. The main file .shp stores the geometry and must always have an index file .shx. A dBASE file .dbf stores all the attributes of the shapes in the main file. Additionally, a projection file .prj stores the projection information (for more information on .shp files and software, please visit https://www.file-extensions.org/shp-file-extension). A .shx file contains compiled shape data (building blocks, fonts) in form of the machine language compiled version of an .shp file. The file type is associated with AutoCAD, a CAD development platform, developed and sold by Autodesk, Inc (for more information on .shx files and software, please visit https://www.file-extensions.org/shx-file-extension). The .txt file type is a common text file, which can be opened with a basic text editor. The most common software used to open .txt files are Microsoft Windows Notepad, Sublime Text, Atom, and TextEdit (for more information on .txt files and software, please visit https://www.file-extensions.org/txt-file-extension).

      This record also contains MP4 video files. These files can be played in any standard video player. The poster file is in PDF format. This file can be opened with the Adobe Acrobat software or your default web browser.

    • Content Notes:
      This dataset package contains several types of files. The dataset files are located externally on the Dataverse page (https://doi.org/10.15787/VTT1/QCNL0Z). This dataset package includes the GIS shapefiles, the csv data files, and the dataset manifest PDF that serves as a readme, data dictionary, and manual to the entire project. This supporting dataset record contains supporting video files. These video files can be found on the project website (https://storymaps.arcgis.com/stories/9b51cd43c22f4868be64c1ae74e458f8) as well as in this record as supporting files. Lastly, this data package also contains a poster created by the research team for their project website page. The poster can be seen on the project website as well as an attached supporting file to this record.

      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. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.8083359). NTL staff last accessed this dataset at its repository URL on 2024-02-06. 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.

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