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Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI

The location of defunct environmentally hazardous businesses like gas stations has many implications for modern American cities. To track down these locations, we present the directoreadr code (github.com/brown-ccv/directoreadr). Using scans of Polk city directories from Providence, RI, directoreadr...

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Autores principales: Bell, Samuel, Marlow, Thomas, Wombacher, Kai, Hitt, Anina, Parikh, Neev, Zsom, Andras, Frickel, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437912/
https://www.ncbi.nlm.nih.gov/pubmed/32813699
http://dx.doi.org/10.1371/journal.pone.0220219
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author Bell, Samuel
Marlow, Thomas
Wombacher, Kai
Hitt, Anina
Parikh, Neev
Zsom, Andras
Frickel, Scott
author_facet Bell, Samuel
Marlow, Thomas
Wombacher, Kai
Hitt, Anina
Parikh, Neev
Zsom, Andras
Frickel, Scott
author_sort Bell, Samuel
collection PubMed
description The location of defunct environmentally hazardous businesses like gas stations has many implications for modern American cities. To track down these locations, we present the directoreadr code (github.com/brown-ccv/directoreadr). Using scans of Polk city directories from Providence, RI, directoreadr extracts and parses business location data with a high degree of accuracy. The image processing pipeline ran without any human input for 94.4% of the pages we examined. For the remaining 5.6%, we processed them with some human input. Through hand-checking a sample of three years, we estimate that ~94.6% of historical gas stations are correctly identified and located, with historical street changes and non-standard address formats being the main drivers of errors. As an example use, we look at gas stations, finding that gas stations were most common early in the study period in 1936, beginning a sharp and steady decline around 1950. We are making the dataset produced by directoreadr publicly available. We hope it will be used to explore a range of important questions about socioeconomic patterns in Providence and cities like it during the transformations of the mid-1900s.
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spelling pubmed-74379122020-08-26 Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI Bell, Samuel Marlow, Thomas Wombacher, Kai Hitt, Anina Parikh, Neev Zsom, Andras Frickel, Scott PLoS One Research Article The location of defunct environmentally hazardous businesses like gas stations has many implications for modern American cities. To track down these locations, we present the directoreadr code (github.com/brown-ccv/directoreadr). Using scans of Polk city directories from Providence, RI, directoreadr extracts and parses business location data with a high degree of accuracy. The image processing pipeline ran without any human input for 94.4% of the pages we examined. For the remaining 5.6%, we processed them with some human input. Through hand-checking a sample of three years, we estimate that ~94.6% of historical gas stations are correctly identified and located, with historical street changes and non-standard address formats being the main drivers of errors. As an example use, we look at gas stations, finding that gas stations were most common early in the study period in 1936, beginning a sharp and steady decline around 1950. We are making the dataset produced by directoreadr publicly available. We hope it will be used to explore a range of important questions about socioeconomic patterns in Providence and cities like it during the transformations of the mid-1900s. Public Library of Science 2020-08-19 /pmc/articles/PMC7437912/ /pubmed/32813699 http://dx.doi.org/10.1371/journal.pone.0220219 Text en © 2020 Bell et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bell, Samuel
Marlow, Thomas
Wombacher, Kai
Hitt, Anina
Parikh, Neev
Zsom, Andras
Frickel, Scott
Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
title Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
title_full Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
title_fullStr Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
title_full_unstemmed Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
title_short Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
title_sort automated data extraction from historical city directories: the rise and fall of mid-century gas stations in providence, ri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437912/
https://www.ncbi.nlm.nih.gov/pubmed/32813699
http://dx.doi.org/10.1371/journal.pone.0220219
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