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New Jersey's waste management data: retrospect and prospect.

Jordan P Howell¹, Katherine Schmidt¹, Brooke Iacone¹

¹Dept. of Geography, Planning & Sustainability, Rowan University, Glassboro, NJ, United States.

|September 14, 2019

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Solid waste management in New Jersey has a long data history, but significant gaps remain. This research makes historical data publicly available, aiding future planning despite inherent limitations.

Area of Science:

Environmental Science
Data Science
Urban Planning

Background:

Successful solid waste management relies on accurate data regarding collection, volume, composition, and disposal costs.
Data quality and quantity issues have historically hindered effective waste management strategies.
New Jersey has collected solid waste management data since the 1960s, offering a unique historical perspective.

Purpose of the Study:

To examine the historical solid waste management data from New Jersey, tracing its origins and applications.
To compare New Jersey's waste data with that of other US states.
To prepare and release a digital version of the 1993-2016 New Jersey dataset for public use and analysis.

Main Methods:

Historical data compilation and analysis of New Jersey's solid waste management records.

Keywords:

Conservation Environmental assessment Environmental data Environmental economics Environmental management Environmental science Human geography New Jersey Operations management Political science Recycling Research and development Social responsibility Solid waste management Waste

Related Experiment Videos

Comparative analysis of New Jersey's dataset against other state-level waste management data.

Data cleaning, preparation, and digitization for the 1993-2016 period, enabling geospatial visualization.

Main Results:

The New Jersey solid waste management dataset is considered superior to most other US state datasets.
Despite its quality, significant data gaps persist, limiting comprehensive waste management planning.
A digitized dataset (1993-2016) is now available for public research, modeling, and analysis.

Conclusions:

The New Jersey dataset, while valuable, highlights inherent limitations in waste management data.
These limitations suggest a potential ceiling for the utility of waste management data as environmental knowledge.
Findings have broader implications for the use and limitations of 'big environmental data' in general.