Cargando…

New Jersey's waste management data: retrospect and prospect

Reliable data about collection, volume, tonnage, stream composition, and disposal price have long been described as key components of successful solid waste management planning. Yet, concerns about data quality and quantity have continued to limit even the most sincere, progressive waste management...

Descripción completa

Detalles Bibliográficos
Autores principales: Howell, Jordan P., Schmidt, Katherine, Iacone, Brooke, Rizzo, Giavanni, Parrilla, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728304/
https://www.ncbi.nlm.nih.gov/pubmed/31517092
http://dx.doi.org/10.1016/j.heliyon.2019.e02313
_version_ 1783449408768049152
author Howell, Jordan P.
Schmidt, Katherine
Iacone, Brooke
Rizzo, Giavanni
Parrilla, Christina
author_facet Howell, Jordan P.
Schmidt, Katherine
Iacone, Brooke
Rizzo, Giavanni
Parrilla, Christina
author_sort Howell, Jordan P.
collection PubMed
description Reliable data about collection, volume, tonnage, stream composition, and disposal price have long been described as key components of successful solid waste management planning. Yet, concerns about data quality and quantity have continued to limit even the most sincere, progressive waste management schemes. This paper examines solid waste management data that has been collected in the US state of New Jersey starting in the 1960s. We present the origins of waste management data collection in New Jersey and trace some of the applications that have been made with the data over time. We compare the New Jersey dataset to waste management data that has been collected in other US states. We then describe our work collecting, cleaning, and preparing for public dissemination and use in a geospatial visualization exercise a digital version of the data spanning approximately 1993 to 2016, before presenting some illustrations of the type of modeling and analysis that researchers or the concerned public would be able to undertake now that the dataset is available. (We are publishing the 1993–2016 dataset alongside this paper). We argue that the New Jersey waste management dataset is much better than most other waste datasets in the US, but despite this fairly high quality, there remain significant gaps which inhibit the ability of planners to design and implement comprehensive waste management plans. That there are limits inherent to the New Jersey dataset suggests, we argue, a ceiling to the usefulness of waste management data as a category of environmental knowledge with possible implications for ‘big’ environmental data more broadly.
format Online
Article
Text
id pubmed-6728304
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-67283042019-09-12 New Jersey's waste management data: retrospect and prospect Howell, Jordan P. Schmidt, Katherine Iacone, Brooke Rizzo, Giavanni Parrilla, Christina Heliyon Article Reliable data about collection, volume, tonnage, stream composition, and disposal price have long been described as key components of successful solid waste management planning. Yet, concerns about data quality and quantity have continued to limit even the most sincere, progressive waste management schemes. This paper examines solid waste management data that has been collected in the US state of New Jersey starting in the 1960s. We present the origins of waste management data collection in New Jersey and trace some of the applications that have been made with the data over time. We compare the New Jersey dataset to waste management data that has been collected in other US states. We then describe our work collecting, cleaning, and preparing for public dissemination and use in a geospatial visualization exercise a digital version of the data spanning approximately 1993 to 2016, before presenting some illustrations of the type of modeling and analysis that researchers or the concerned public would be able to undertake now that the dataset is available. (We are publishing the 1993–2016 dataset alongside this paper). We argue that the New Jersey waste management dataset is much better than most other waste datasets in the US, but despite this fairly high quality, there remain significant gaps which inhibit the ability of planners to design and implement comprehensive waste management plans. That there are limits inherent to the New Jersey dataset suggests, we argue, a ceiling to the usefulness of waste management data as a category of environmental knowledge with possible implications for ‘big’ environmental data more broadly. Elsevier 2019-08-28 /pmc/articles/PMC6728304/ /pubmed/31517092 http://dx.doi.org/10.1016/j.heliyon.2019.e02313 Text en © 2019 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Howell, Jordan P.
Schmidt, Katherine
Iacone, Brooke
Rizzo, Giavanni
Parrilla, Christina
New Jersey's waste management data: retrospect and prospect
title New Jersey's waste management data: retrospect and prospect
title_full New Jersey's waste management data: retrospect and prospect
title_fullStr New Jersey's waste management data: retrospect and prospect
title_full_unstemmed New Jersey's waste management data: retrospect and prospect
title_short New Jersey's waste management data: retrospect and prospect
title_sort new jersey's waste management data: retrospect and prospect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728304/
https://www.ncbi.nlm.nih.gov/pubmed/31517092
http://dx.doi.org/10.1016/j.heliyon.2019.e02313
work_keys_str_mv AT howelljordanp newjerseyswastemanagementdataretrospectandprospect
AT schmidtkatherine newjerseyswastemanagementdataretrospectandprospect
AT iaconebrooke newjerseyswastemanagementdataretrospectandprospect
AT rizzogiavanni newjerseyswastemanagementdataretrospectandprospect
AT parrillachristina newjerseyswastemanagementdataretrospectandprospect