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Part 1: Document Description
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Citation |
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Title: |
San Francisco Bay Area Parking Space Inventory |
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Identification Number: |
doi:10.48349/ASU/EV2GTF |
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Distributor: |
ASU Library Research Data Repository |
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Date of Distribution: |
2024-06-13 |
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Version: |
1 |
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Bibliographic Citation: |
Chester, Mikhail; Li, Rui; Helmrich, Alysha, 2024, "San Francisco Bay Area Parking Space Inventory", https://doi.org/10.48349/ASU/EV2GTF, ASU Library Research Data Repository, V1, UNF:6:o4iDo4neMSlg6IY9o9eEJQ== [fileUNF] |
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Citation |
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Title: |
San Francisco Bay Area Parking Space Inventory |
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Identification Number: |
doi:10.48349/ASU/EV2GTF |
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Authoring Entity: |
Chester, Mikhail (Arizona State University) |
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Li, Rui (Arizona State University) |
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Helmrich, Alysha (Arizona State University) |
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Producer: |
Metis Center for Infrastructure and Sustainable Engineering |
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Software used in Production: |
ArcGIS |
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Grant Number: |
ZSB12017-SJAUX |
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Distributor: |
ASU Library Research Data Repository |
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Access Authority: |
Chester, Mikhail |
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Depositor: |
Chester, Mikhail |
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Date of Deposit: |
2024-06-12 |
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Series Name: |
Parking |
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Holdings Information: |
https://doi.org/10.48349/ASU/EV2GTF |
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Study Scope |
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Keywords: |
Engineering, Parking Infrastructure, Parking. Automobile parking, Infrastructure (Economics), San Francisco (Calif.) |
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Abstract: |
The San Francisco Bay Area is one of the most progressive transportation regions in the deployment of high-capacity transit and the use of policies to encourage active transportation. Yet, there remains a dearth of knowledge on the abundance and location of parking infrastructure. The extent and location of parking supply, including on-street and off-street spaces, are estimated for the nine-county Bay Area by creating a federated database that joins land use, transportation, parcel, building, and parking code layers to estimate the number and characteristics of parking spaces at the census block scale. This bottom-up parking space inventory results in an estimated 15 million parking spaces in the region: 8.6 million on-street and 6.4 million off-street. Residential parking dominates the share of supply at 70%, followed by commercial at 9.4%. Space density is greatest in downtown San Francisco, Oakland, and San Jose—largely attributed to high-rise structures. On-street parking is dominant in the North Bay, commanding 78% of total parking in Napa, 75% in Solano, 68% in Sonoma, and 67% in Marin County. Parking area constitutes 7.9% of the total incorporated area. Notably, when compared to other southwest cities (Phoenix Metropolitan Area and Los Angeles County), the Bay Area parking supply appears better utilized considering spaces per person, per car, and per job. The density and quantity of parking spaces in the Bay Area are critical insights toward developing targeted policies that encourage active mobility and support affordable housing. |
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Time Period: |
2019-2020 |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
Mikhail Chester, Alysha Helmrich, and Rui Li. “San Francisco Bay Area Parking Census [Dataset]" Mineta Transportation Institute Publications (2022). <a href="https://doi.org/10.31979/mti.2022.2123.ds">doi:10.31979/mti.2022.2123.ds</a> |
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<br> <a href="https://www.spur.org/publications/spur-report/2022-02-28/bay-area-parking-census">https://www.spur.org/publications/spur-report/2022-02-28/bay-area-parking-census</a> |
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<br> <a href="https://ruilee16.github.io/sfba_parking/">https://ruilee16.github.io/sfba_parking/</a> |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Rui Li, Alysha Helmrich, Mikhail Chester (2022) Parking by the Bay: The Supply and Implications of Parking Infrastructure in the San Francisco Bay Area, Journal of Transportation and Land Use, 15(1), pp. 527-545 |
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Identification Number: |
10.5198/jtlu.2022.2123 |
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Bibliographic Citation: |
Rui Li, Alysha Helmrich, Mikhail Chester (2022) Parking by the Bay: The Supply and Implications of Parking Infrastructure in the San Francisco Bay Area, Journal of Transportation and Land Use, 15(1), pp. 527-545 |
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File Description--f36150 |
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File: parking_codes.tab |
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Notes: |
UNF:6:o4iDo4neMSlg6IY9o9eEJQ== |
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List of Variables: |
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Variables |
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f36150 Location: |
Summary Statistics: Max. 9301.0; Mean 3942.3827160493834; Valid 81.0; StDev 3037.2317394623565; Min. 18.0 Variable Format: numeric Notes: UNF:6:b+OMEttWevE+/P+/3/rVzw== |
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f36150 Location: |
Variable Format: character Notes: UNF:6:p4mSDOQIuhsiXklSQmxaSg== |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
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f36150 Location: |
Variable Format: character Notes: UNF:6:22Y+MEOpYheAzh16yvc/Dw== |
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f36150 Location: |
Variable Format: character Notes: UNF:6:DhE92Xc88Q7LwMV/fQv44g== |
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f36150 Location: |
Variable Format: character Notes: UNF:6:LFjqp8UxPvglFpKsWp5E2A== |
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f36150 Location: |
Variable Format: character Notes: UNF:6:PbNfxFIGTX22UuEWwJ2rjg== |
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Label: |
city_parking_requirements.pdf |
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Text: |
Table of San Francisco Bay Area cities and when their parking codes were last updated relative to when inventory was developed. |
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Notes: |
application/pdf |
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Label: |
parking_density_acre.zip |
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Text: |
Shapefile of parking space densities for the San Francisco Bay Area |
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Notes: |
application/zipped-shapefile |
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Label: |
README.txt |
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Text: |
Metadata descriptions for all uploaded files. |
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Notes: |
text/plain |