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Exploring Synergies between transit investment and dense redevelopment: A scenario analysis in a rapdily developing urban landscape

Metadata Updated: November 12, 2020

This dataset is a journal article that describes the use of a system dynamics model to explore the synergies between transit and development strategies as they give rise to outcomes of community concern: environmental impacts, economic development and equity. The dataset includes the publication itself, the publication figures, the input and calibration data, the data dictionary and the model output data for the base scenarios.

This dataset is associated with the following publication: Cox, L., A. Bassi, J. Kolling, A. Procter, N. Flanders, N. Tanners, and R. Araujo. Exploring synergies between transit investment and dense redevelopment: A scenario analysis in a rapidly urbanizing landscape. LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 167: 429-440, (2017).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1016/j.landurbplan.2017.07.021

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1407615
Data Last Modified 2017-08-23
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 1c2d24e3-5eb5-4193-9599-7db9286f71d9
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:097
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.landurbplan.2017.07.021
Source Datajson Identifier True
Source Hash 589d356fcff218ee1806afe2801dc6a4ece10bc5
Source Schema Version 1.1

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