Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
by
Wombacher, Kai
, Parikh, Neev
, Frickel, Scott
, Marlow, Thomas
, Zsom, Andras
, Hitt, Anina
, Bell, Samuel
in
Archives & records
/ Automation
/ Cities
/ Computer and Information Sciences
/ Contamination
/ Data mining
/ Digitization
/ Directories
/ Economic aspects
/ Engineering and Technology
/ Environmental aspects
/ Historic sites
/ History
/ Image processing
/ Internet
/ Location
/ Physical Sciences
/ Public libraries
/ Research and Analysis Methods
/ Resource Conservation & Recovery Act-US
/ Service stations
/ Service stations (Automotive)
/ Social Sciences
/ Society
/ Web archiving
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
by
Wombacher, Kai
, Parikh, Neev
, Frickel, Scott
, Marlow, Thomas
, Zsom, Andras
, Hitt, Anina
, Bell, Samuel
in
Archives & records
/ Automation
/ Cities
/ Computer and Information Sciences
/ Contamination
/ Data mining
/ Digitization
/ Directories
/ Economic aspects
/ Engineering and Technology
/ Environmental aspects
/ Historic sites
/ History
/ Image processing
/ Internet
/ Location
/ Physical Sciences
/ Public libraries
/ Research and Analysis Methods
/ Resource Conservation & Recovery Act-US
/ Service stations
/ Service stations (Automotive)
/ Social Sciences
/ Society
/ Web archiving
2020
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
by
Wombacher, Kai
, Parikh, Neev
, Frickel, Scott
, Marlow, Thomas
, Zsom, Andras
, Hitt, Anina
, Bell, Samuel
in
Archives & records
/ Automation
/ Cities
/ Computer and Information Sciences
/ Contamination
/ Data mining
/ Digitization
/ Directories
/ Economic aspects
/ Engineering and Technology
/ Environmental aspects
/ Historic sites
/ History
/ Image processing
/ Internet
/ Location
/ Physical Sciences
/ Public libraries
/ Research and Analysis Methods
/ Resource Conservation & Recovery Act-US
/ Service stations
/ Service stations (Automotive)
/ Social Sciences
/ Society
/ Web archiving
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
Journal Article
Automated data extraction from historical city directories: The rise and fall of mid-century gas stations in Providence, RI
2020
Request Book From Autostore
and Choose the Collection Method
Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
This website uses cookies to ensure you get the best experience on our website.