Data Package Metadata View Summary

Regional Heat Vulnerability Map and Cooling Solutions: A webtool of the Healthy Urban Environments Initiative

General Information

Data Package:

Local Identifier:

edi.1403.3

Title:

Regional Heat Vulnerability Map and Cooling Solutions: A webtool of the Healthy Urban Environments Initiative

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

## Regional Heat Vulnerability Map and Cooling Solutions The regional heat vulnerability map and cooling solutions webtool offers two data sources for equitable heat mitigation. The dashboard layers vulnerability data onto land surface temperatures to identify areas with high and low heat exposure and vulnerability as well as the existing assets and nuisances in each census tract. Additional layers can be added into the heat vulnerability map to highlight how heat affects critical infrastructures including schools, mobile home parks, parking lots, public transportation stops, pedestrian thoroughfares, and bikeways. The solutions tab showcases a variety of heat mitigation solutions and the research behind them. Development of these solutions was funded through the Healthy Urban Environment Initiative. In addition, other heat-related solutions and resources from urban Maricopa County are included. The data catalogued here are the underlying data that populate the webtool. ## Healthy Urban Environment (HUE) Iniative - Overview HUE is a solutions-focused research, policy and technology incubator to create healthier communities across Maricopa County (central Arizona, USA) through collaboration between researchers, practitioners and community members. As such, HUE funded rapid development, testing and deployment of heat-mitigation and air-quality improvement strategies and technologies. Heat emerged as the urgent focus, as urban centers across the desert Southwest continue to grow in size and density, aggravating existing challenges posed by the expansion of the built environment. In Phoenix, AZ, this expansion of the built environment creates conditions which magnify the intensity and duration of heat – making it difficult for residents to achieve thermal comfort throughout the day and night. Further, the legacies of urban sprawl and transportation planning in the Phoenix, Arizona metropolitan area have contributed to challenges with atmospheric pollutants. Importantly, urban heat and air quality issues intersect to produce negative health incomes that impact the region’s communities, particularly those who are most vulnerable and least able to adapt. This work was funded as part of the Healthy Urban Environments (HUE) initiative by the Maricopa County Industrial Development Authority (MCIDA), Award #AWD00033817. This funding facilitated collaboration between the City of Tempe, the Decision Theater at Arizona State University (ASU) and ASU researchers to build an interactive webtool to assist local municipalities, nonprofits, community members, researchers, and other stakeholders in understanding heat, vulnerabilities, and solutions to heat in urban Maricopa County region.

Publication Date:

2023-04-27

Language:

english

For more information:
Visit:	https://sustainability.asu.edu/caplter/data/data-catalog/view/edi.1403.1/xml/
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2015-01-01

End:

2019-12-31

People and Organizations
Contact:	Data Manager (Julie Ann Wrigley Global Institute of Sustainability and Innovation, Arizona State University) [ email ]
Creator:	Gorantla, Ramesh (Arizona State University)
Creator:	Kandala, Srinivasa Srivatsav (Arizona State University)
Creator:	Pantham, Sesha Satya Pranathi Devi (Arizona State University)
Creator:	Wei, Fangwu (Arizona State University)
Creator:	Coseo, Paul (Arizona State University)
Creator:	Brundiers, Katja (Arizona State University)
Creator:	Braun, Rachel (Arizona State University)
Creator:	Kay, Braden (City of Tempe)
Creator:	Fisher, Brianne (City of Tempe)
Associate:	Fedyski, DeAnn (Arizona State University, Project Coordinator)
Associate:	Lee, Kan Yan (Arizona State University, student)
Associate:	Kalvakolanu, Sai Kousthubha Das (Arizona State University, student)
Associate:	Vakil, Zamaan (Arizona State University, student)
Associate:	Patil, Roja (Arizona State University, student)

Data Entities
Data Table Name:	cool_regions.csv
Description:	Regional Heat Vulnerability Map and Cooling Solutions source data

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-d.lternet.edu/package/data/eml/edi/1403/3/890b55d61373d125a0661449398f26e7
Name:	cool_regions.csv
Description:	Regional Heat Vulnerability Map and Cooling Solutions source data
Number of Records:	2483
Number of Columns:	24

Table Structure

Object Name:

cool_regions.csv

Size:

482573 bytes

Authentication:

af50c58fb01042891cd68c5403c4b8dc Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

OBJECTID

GEOID

Pt_BPvL

Pt_Unem

PrCp_In

Pt_NoHS

Pt_65_

Pt_17_

Pt_Dis

Pt_SPH

Pt_Min

Pt_SpEn

Pt_MStr

Pt_MbHm

Pt_Crwd

Pt_HNVh

Pt_GQt

SCH_Ct

MHP_Ct

PL_Ct

BS_Ct

T_TrlDist

Agg_lng

LST_Sum_Ranking

Definition:

unique id

FIP for block group

Below poverty level (%) (social vulnerability variable)

Unemployed (%) (social vulnerability variable)

Per capita income ($) (social vulnerability variable)

No high school diploma (%) (social vulnerability variable)

Age 65 and over (%) (social vulnerability variable)

Age 17 and younger (%) (social vulnerability variable)

With a disability (%) (social vulnerability variable)

Single parent household (%) (social vulnerability variable)

Minority (%) (social vulnerability variable)

Who speak English "less than well" (%) (social vulnerability variable)

Multi-unit structures (%) (social vulnerability variable)

Mobile homes (%) (social vulnerability variable)

Crowding (%) (social vulnerability variable)

Households with no vehicle (%) (social vulnerability variable)

Group quarters (%) (social vulnerability variable)

Number of schools in a block group

Number of mobile home parks in a block group

Number of parking lots in a block group

Number of public transportation stops (bus stops) in a block group

Total distance traveled by walkers/bikers (in miles) in a block group (pedestrian thoroughfares)

Aggregated length for bikeways (in miles) in a block group

Land surface temperature ranking for a block group (0 coolest ... 1 hottest)

Storage Type:

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

unique id

Definition

FIP for block group

Unit	percent
Type	real
Min	0
Max	84.6

Unit	percent
Type	real
Min	0
Max	27.2

Unit	percent
Type	whole
Min	0
Max	152542

Unit	percent
Type	real
Min	0
Max	59

Unit	percent
Type	real
Min	0
Max	90.8

Unit	percent
Type	real
Min	0
Max	46.3967056

Unit	percent
Type	real
Min	0
Max	40.4

Unit	percent
Type	real
Min	0
Max	43.2126697

Unit	percent
Type	real
Min	0
Max	100

Unit	percent
Type	real
Min	0
Max	40

Unit	percent
Type	real
Min	0
Max	92.153723

Unit	percent
Type	real
Min	0
Max	94

Unit	percent
Type	real
Min	0
Max	34.0531561

Unit	percent
Type	real
Min	0
Max	45.9

Unit	percent
Type	real
Min	0
Max	100

Unit	number
Type	whole
Min	0
Max	7

Unit	number
Type	whole
Min	0
Max	9

Unit	number
Type	whole
Min	0
Max	196

Unit	number
Type	whole
Min	0
Max	59

Unit	mile
Type	real
Min	0
Max	9395.2236321

Unit	mile
Type	real
Min	0
Max	23.8418261

Unit	dimensionless
Type	real
Min	0
Max	1

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Package Usage Rights

This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). The consumer of these data ("Data User" herein) has an ethical obligation to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or coauthorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER controlled vocabulary	urban, deserts, demography, census
LTER core areas	human-environment interactions, environment and human wellbeing, governance and just transitions
Creator Defined Keyword Set	healthy urban environments, phoenix, arizona, az, heat, health, housing, neighborhood, transportation

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package

Description:

## overview Source data were aggregated then delineated by American Community Survey block groups within the greater Phoenix, Arizona (USA) metropolitan area. ## data sources - Schools: Locations for public and private schools were obtained from the [National Center for Education Statistics](https://nces.ed.gov/programs/edge/Geographic/SchoolLocations). - Mobile Homes: Mobile home park locations were obtained from the [AZGeo Data Hub](https://azgeo-open-data-agic.hub.arcgis.com/datasets/geoplatform::mobile-home-parks/about). - Parking Lots: Parking lots shown include those with an estimated 70 or more parking spaces. This subset of parking lots accounts for approximately 50% of all off-street parking spaces in the region. For more information about this dataset, please see [Hoehne et al. (2019)](https://www.sciencedirect.com/science/article/abs/pii/S0264275118311636?via%3Dihub). - Pedestrian Thoroughfares: Pedestrian data represent total distance travelled by walking or biking based on a simulation for a 3.8 million synthetic population in Maricopa County from June 30th, 2017, 00 AM to July 1st, 2017 3:00 AM (27 hours in total). The 3.8 million agents have 18.6 million planned trips. About 5.6% of the total trips (1.05 million) are walking, and 0.79% (148,541) are biking. The routing algorithm assumes agents all take the shortest path. The simulation performed was through the ICARUS project at Arizona State University. For more information about this dataset, please see: Li, Rui (2022). Advancing Transportation Climate Vulnerability Assessment Across Infrastructure and Travel Behavior. Doctoral Dissertation. School of Sustainable Engineering and the Built Environment, Arizona State University. - Public Transportation Stops: Locations of Valley Metro transit stops were obtained from the [Valley Metro GeoCenter](https://geocenter-valleymetro.opendata.arcgis.com/). - Bikeways: Bikeways locations for Maricopa County were obtained from the Maricopa Association of Governments Open GIS Data Site. - Land Surface Temperature: Daytime Land Surface Temperature data (Version 6.1) from the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Data were compiled from the 20 days with [heat warnings](https://www.weather.gov/psr/heat) in the metro Phoenix area in 2021 using a percentile ranking methodology similar to the [CDC SVI methodology](https://www.atsdr.cdc.gov/placeandhealth/svi/index.html). The resulting LST rankings for the region range from 0 (coolest) to 1 (hottest). - Wan, Z., Hook, S., Hulley, G. (2021). MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. Accessed 2022-02-03 - AppEEARS Team. (2021). Application for Extracting and Exploring Analysis Ready Samples (AppEEARS). Ver. 2.68. NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, USA. Accessed February 3, 2022. [AppEEARS](https://lpdaacsvc.cr.usgs.gov/appeears) ## other...

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@edirepository.org

Web Address:

https://edirepository.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Ramesh Gorantla

Organization:

Arizona State University

Email Address:

gorantl@asu.edu

Id:

https://orcid.org/0000-0002-5943-7587

Individual:

Srinivasa Srivatsav Kandala

Organization:

Arizona State University

Email Address:

Srivatsav.Kandala@asu.edu

Id:

https://orcid.org/0000-0002-9723-7658

Individual:

Sesha Satya Pranathi Devi Pantham

Organization:

Arizona State University

Email Address:

spantham@asu.edu

Id:

https://orcid.org/0009-0008-5974-8968

Individual:

Fangwu Wei

Organization:

Arizona State University

Email Address:

Fangwu.Wei@asu.edu

Id:

https://orcid.org/0000-0002-3797-5587

Individual:

Paul Coseo

Organization:

Arizona State University

Email Address:

paul.coseo@asu.edu

Id:

https://orcid.org/0000-0003-0727-4074

Individual:

Katja Brundiers

Organization:

Arizona State University

Email Address:

katja.brundiers@asu.edu

Id:

https://orcid.org/0000-0002-7354-9964

Individual:

Rachel Braun

Organization:

Arizona State University

Email Address:

rachel.anne.braun@asu.edu

Id:

https://orcid.org/0000-0002-9353-9923

Individual:

Braden Kay

Organization:

City of Tempe

Email Address:

braden_kay@tempe.gov

Individual:

Brianne Fisher

Organization:

City of Tempe

Email Address:

Brianne_fisher@tempe.gov

Contacts:

Organization:

Julie Ann Wrigley Global Institute of Sustainability and Innovation, Arizona State University

Position:

Data Manager

Address:

Arizona State University,

Global Institute of Sustainability and Innovation,

Tempe, AZ 85287-5402 USA

Email Address:

caplter.data@asu.edu

Web Address:

https://researchdata.asu.edu/

Associated Parties:

Individual:

DeAnn Fedyski

Organization:

Arizona State University

Email Address:

deann.fedyski@asu.edu

Role:

Project Coordinator

Individual:

Kan Yan Lee

Organization:

Arizona State University

Email Address:

klee172@asu.edu

Role:

student

Individual:

Sai Kousthubha Das Kalvakolanu

Organization:

Arizona State University

Email Address:

kkalvako@asu.edu

Role:

student

Individual:

Zamaan Vakil

Organization:

Arizona State University

Email Address:

zvakil@asu.edu

Role:

student

Individual:

Roja Patil

Organization:

Arizona State University

Email Address:

rpatil15@asu.edu

Role:

student

Metadata Providers:

Individual:

Rachel Braun

Organization:

Arizona State University

Email Address:

rachel.anne.braun@asu.edu

Id:

https://orcid.org/0000-0002-9353-9923

Individual:

Katja Brundiers

Organization:

Arizona State University

Email Address:

katja.brundiers@asu.edu

Id:

https://orcid.org/0000-0002-7354-9964

Individual:

Fangwu Wei

Organization:

Arizona State University

Email Address:

Fangwu.Wei@asu.edu

Id:

https://orcid.org/0000-0002-3797-5587

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period

Begin:

2015-01-01

End:

2019-12-31

Geographic Region:

Description:

greater Phoenix, Arizona (USA) metropolitan area

Bounding Coordinates:

Northern:	33.827	Southern:	33.219
Western:	-112.783	Eastern:	-111.579

Taxonomic Range:

Classification:

Rank Name:

Species

Project

Parent Project Information:

Title:

Healthy Urban Environments

Personnel:

Individual:

Charles L Redman

Organization:

Arizona State University

Email Address:

charles.redman@asu.edu

Id:

https://orcid.org/0000-0001-7193-7368

Role:

Principal Investigator

Abstract:

As urban centers across the desert Southwest continue to grow in size and density, so do the challenges posed by the expansion of the built environment. In Phoenix, AZ, this expansion of the built environment creates conditions which magnify the intensity and duration of heat – making it difficult for residents to achieve thermal comfort throughout the day and night. Further, the legacies of urban sprawl and transportation planning in the Phoenix metropolitan area have contributed to challenges with atmospheric pollutants. Importantly, urban heat and air quality issues intersect to produce negative health incomes that impact the region’s communities, particularly those who are most vulnerable and least able to adapt. HUE is a solutions-focused research, policy and technology incubator. As such, HUE rapidly develops, tests and deploys heat-mitigation and air-quality improvement strategies and technologies. In collaboration with practitioners and community members we will create healthier communities across Maricopa County. Deploying a regenerative operational model that uses technology and policy outcomes to fertilize future research and development, HUE will translate air quality and urban heat-related research into policy action, novel technology, and commercialized intellectual property.

Funding:

HUE is grateful for the support that it has received from the Maricopa County Industrial Development Authority (MCIDA) - Award #AWD00033817

Additional Award Information:

Funder:

Maricopa County Industrial Development Authority (MCIDA)

Funder ID:

https://mcida.com/

Number:

AWD00033817

Title:

metadata not provided

URL:

metadata not provided

Maintenance

Maintenance:

Description:	this dataset is complete and or updates are not anticipated
Frequency:	notPlanned

Other Metadata

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is proud to be affiliated with the following organizations:

Data Package Metadata View Summary

Regional Heat Vulnerability Map and Cooling Solutions: A webtool of the Healthy Urban Environments Initiative

Data Entities

Data Table

Data Package Usage Rights

Keywords

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Parent Project Information:

Maintenance

Recently Added

Recently Updated

Data Package Metadata View Summary

Regional Heat Vulnerability Map and Cooling Solutions: A webtool of the Healthy Urban Environments Initiative

+/- Data Entities

Data Table

+/- Data Package Usage Rights

+/- Keywords

+/- Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

+/- Project

Parent Project Information:

+/- Maintenance

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance