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Individually experienced temperatures: a heat exposure study in five greater Phoenix, AZ area neighborhoods (2014)

Publication date: 2017-06-06

Author(s):

  • Evan Kuras, Arizona State University
  • Mary Munoz, Arizona State University
  • Summer Betzel, Arizona State University
  • Christopher Dastan, Arizona State University
  • Jason Eneboe, Arizona State University
  • Miranda Kaml, Arizona State University
  • Lauren Rohan-Kohl, Arizona State University
  • Mara Sevig, Arizona State University
  • Marianna Singh, Arizona State University
  • David Hondula, Arizona State University

Abstract:

Urban environmental health hazards, including exposure to extreme heat, have become increasingly important to understand in light of ongoing climate change and urbanization. Most current knowledge about heat-health risks is based on measurements of outdoor air temperatures. Further, neighborhoods are often considered a homogenous and appropriate unit with which to assess risk and implement intervention strategies. Little is known about temperatures individuals actually experience within neighborhoods and cities, given differential access to cooling resources, complex activity patterns, and heterogeneous thermal and social environments. This dataset contains information collected during a study about individually experienced temperatures (IETs) within and between neighborhoods in Phoenix, Arizona. In September 2014, 80 research participants were recruited from 5 Phoenix-area neighborhoods and equipped with air temperature sensors that recorded IETs as they went about their daily lives. Surveys, activity log phone calls, and exit interviews were used to collect additional information from participants about demographics (age, race, gender), housing status, activities during the week, lifestyle, occupation, orientation toward the neighborhood, uses of indoor and outdoor spaces as well as public and private cooling resources. 86% of participants (69 out of 80) filled out background surveys, 89% of participants (71 out of 80) filled out daily surveys, 31% of participants (25 out of 80) engaged in activity log calls, and 48% of participants (39 out of 80) participated in exit interviews. The research team found that 1) variance in mean IET was relatively equal within each neighborhood and 2) significant differences existed in average mean IETs between neighborhoods. Data collected in this study help explain how intra-city differences in outdoor temperatures manifest themselves into IETs of urban residents. Individual differences are an overlooked determinant of heat exposure and should be better integrated into heat-health research and intervention strategies.

Keywords:


Temporal Coverage:

2014-09-13 to 2014-09-20

Geographic Coverage:

Geographic Description: Five neighborhoods within the greater Phoenix metropolitan area: (1) Ahwatukee, (2) Encanto-Palmcroft, (3) Garfield, (4) Coffelt, and (5) Power Ranch
Bounding Coordinates:
Longitude:-112.11 to -111.69
Latitude:33.47 to 33.27

Contact:

Data Manager, Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, 
PO Box 875402,Tempe
 caplter.data@asu.edu

Methods used in producing this dataset: Show


Data Files (5) :

Tabular: 647_IET_measurements_50e72be656c7407bd07e316061beeb1d.csv

Description: IET 4-hour averages for all participants during the study period

Column Description Type Units
Subject ID Subject Identifier where the number corresponds to neighborhood: 1=Coffelt, 2=Encanto-Palmcroft, 3=Garfield, 4=Thunderhill, 5=Power Ranch
string
period 4-hour measurement period
string
temperature 4 hour average of IET during the specified period
float celsius

Tabular: 647_background_surveys_546a5d337c7a39922a4b65ced4bb29fe.csv

Description: Results from background surveys administered before study period

Column Description Type Units
Subject.ID Subject Identifier where the number corresponds to neighborhood: 1=Coffelt, 2=Encanto-Palmcroft, 3=Garfield, 4=Thunderhill, 5=Power Ranch
string
a_q1 Age of participant, in decadal ranges - "In what year were you born?"
string
Enumeration:
  • 1: <35
  • 2: 35-49
  • 3: 50-64
  • 4: 65+
a_q2 Gender of participant - "What gender do you identify with?"
string
Enumeration:
  • 1: male
  • 2: female
a_q3a Race/ethnicity of participant "Which of the following best represents your racial or ethnic heritage?"
string
Enumeration:
  • 1: white
  • 2: black
  • 3: hispanic
  • 4: black
  • 5: asian
  • 6: other (also options: American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander
a_q3b Race/ethnicity of participant "Which of the following best represents your racial or ethnic heritage?" (if more than one)
string
Enumeration:
  • 1: white
  • 2: black
  • 3: hispanic
  • 4: black
  • 5: asian
  • 6: other (also options: American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander
a_q4 Occupation of Participant - "What is your occupation?"
string
Enumeration:
  • 1: construction/landscaping
  • 2: management
  • 3: business
  • 4: computer
  • 5: arch/engineering
  • 6: science
  • 7: legal
  • 8: education
  • 9: art
  • 1: healthcare
  • 1: sales
  • 1: food
  • 1: student
  • 1: homemaker
  • 1: retired
a_q5 Educational Attainment of Participant - "What is your highest educational attainment?"
string
Enumeration:
  • 1: less_than_HS
  • 2: HS_graduate
  • 3: GED_alt
  • 4: some_college
  • 5: bachelors+
a_q6 Participant's Household Income range - "How would you categorize your household income range?"
string
Enumeration:
  • 1: <10k
  • 2: 10-30k
  • 3: 31-50k
  • 4: 51-75k
  • 5: 76-100k
  • 6: 101-150k
  • 7: 151-200k
  • 8: 200+
a_q7a Participant's Housing Status - "How would you describe your housing situation? Please select as many options as apply"
string
Enumeration:
  • 1: own
  • 2: rent
  • 3: other
a_q7b Participant's Housing Status - "How would you describe your housing situation? Please select as many options as apply"
string
Enumeration:
  • 1: public
  • 2: private
  • 3: other
a_q8 Participant's Housing Type - "Do you live in a…"
string
Enumeration:
  • 1: single_fam_home
  • 2: multi_fam_home
  • 3: townhouse
  • 4: condo
  • 5: apartment
  • 6: mobile_home
  • 7: other
a_q9 Amount of people in Participant's household - "How many people do you share a household with (not including yourself)?"
float number
a_q10 Ages of other people in Participant's Household - "What ages are the people in your household?"
string
a_q11 Language Participant speaks at home - "What language do you speak at home?"
string
Enumeration:
  • 1: english
  • 2: spanish
  • 3: english&spanish
a_q12 Number of Pets owned by Participant - "How many pets do you have?"
string
Enumeration:
  • 0: 0
  • 1: 1
  • 2: 2
  • 3: 3+
a_q13a Participant's Home Cooling Resources - "How would you describe any cooling devices you have at home?"
string
Enumeration:
  • 1: central_AC
  • 2: AC_units
  • 3: swamp_coolers
  • 4: fans
  • 5: none
  • 6: other
a_q13b Participant's Home Cooling Resources - "How would you describe any cooling devices you have at home?" (If more than one)
string
Enumeration:
  • 1: central_AC
  • 2: AC_units
  • 3: swamp_coolers
  • 4: fans
  • 5: none
  • 6: other
a_q13c Participant's Home Cooling Resources - "How would you describe any cooling devices you have at home?" (if more than two)
string
Enumeration:
  • 1: central_AC
  • 2: AC_units
  • 3: swamp_coolers
  • 4: fans
  • 5: none
  • 6: other
a_q14 Thermostat at Home - "If you have air conditioning, at what temperature do you set your thermostat?"
float celsius
a_q15 Transportation as a Cooling Resource - "Does your primary mode of transportation have air conditioning?"
string
Enumeration:
  • 1: Yes
  • 2: No
a_q16 Self-reported Health of Participant - "In general, compared to other people your age, would you say your health is..."
string
Enumeration:
  • 1: excellent
  • 2: good
  • 3: fair
  • 4: poor
  • 5: dk
a_q17 Participant Exercise Habits - "If/When you exercise where do you do it?"
string
Enumeration:
  • 1: indoors
  • 2: outdoors
  • 3: both
  • 4: no_exercise
a_q18 Height of Participant - "How tall are you?"
float meter
a_q19 Weight of Participant - "What do you normally weigh? (If you are a pregnant woman, report pre-pregnancy weight)"
string
Enumeration:
  • 1: 100 lbs
  • 2: 101-125 lbs
  • 3: 126-150 lbs
  • 4: 151-175 lbs
  • 5: 176-200 lbs
  • 6: 201-225 lbs
  • 7: 226-250 lbs
  • 8: 251-275 lbs
  • 9: 275+ lbs
a_q20 I live in a close-knit neighborhood.
string
Enumeration:
  • 1: strongly_agree
  • 2: somewhat_agree
  • 3: somewhat_disagree
  • 4: strongly_disagree
  • 5: dk
a_q21 I can trust my neighbors.
string
Enumeration:
  • 1: strongly_agree
  • 2: somewhat_agree
  • 3: somewhat_disagree
  • 4: strongly_disagree
  • 5: dk
a_q22 If there were a serious problem in my neighborhood, the residents would get together to solve it.
string
Enumeration:
  • 1: strongly_agree
  • 2: somewhat_agree
  • 3: somewhat_disagree
  • 4: strongly_disagree
  • 5: dk
a_q23 How well do you feel you know your neighbors?
string
Enumeration:
  • 1: very_well
  • 2: fairly_well
  • 3: not_very_well
  • 4: not_at_all
  • 5: dk
a_q24 How often, if at all, do you typically visit with your neighbors?
string
Enumeration:
  • 1: daily/almost
  • 2: 1-3x/week
  • 3: 1-3x/month
  • 4: <1x/month
  • 5: never
  • 6: dk

Tabular: 647_daily_surveys_84d57c258f5fe99e769d2e70cb18b1d3.csv

Description: Results from daily surveys, filled out by participants at the end of each day during the study period

Column Description Type Units
Subject ID Subject Identifier where the number corresponds to neighborhood: 1=Coffelt, 2=Encanto-Palmcroft, 3=Garfield, 4=Thunderhill, 5=Power Ranch
string
dow Day of Week
string
Enumeration:
  • 1: Sun
  • 2: Mon
  • 3: Tue
  • 4: Wed
  • 5: Thu
  • 6: Fri
  • 7: Sat
b_q1a Temperature Rating last night: for the place you spent the majority of your time last night (roughly 11pm-7am), how hot or cold were you?
string
Enumeration:
  • 9: very_hot
  • 8: hot
  • 7: warm
  • 6: slightly_warm
  • 5: neutral
  • 4: slightly_cool
  • 3: cool
  • 2: cold
  • 1: very_cold
  • 0: no_response
b_q1b Thermal Comfort last night: what was your personal comfort?
string
Enumeration:
  • 9: very_comfortable
  • 8: quite_comfortable
  • 7: comfortable
  • 6: just_comfortable
  • 5: neither_comfortable_nor_uncomfortable
  • 4: just_uncomfortable
  • 3: uncomfortable
  • 2: quite_uncomfortable
  • 1: very_uncomfortable
  • 0: no_response
b_q2a Temperature Rating daytime inside: for the time you spent INSIDE today, how hot or cold were you?
string
Enumeration:
  • 9: very_hot
  • 8: hot
  • 7: warm
  • 6: slightly_warm
  • 5: neutral
  • 4: slightly_cool
  • 3: cool
  • 2: cold
  • 1: very_cold
  • 0: no_response
b_q2b Thermal Comfort daytime inside: what was your personal comfort?
string
Enumeration:
  • 9: very_comfortable
  • 8: quite_comfortable
  • 7: comfortable
  • 6: just_comfortable
  • 5: neither_comfortable_nor_uncomfortable
  • 4: just_uncomfortable
  • 3: uncomfortable
  • 2: quite_uncomfortable
  • 1: very_uncomfortable
  • 0: no_response
b_q3a Temperature Rating daytime outside: for the time you spent OUTSIDE today, how hot or cold were you?
string
Enumeration:
  • 9: very_hot
  • 8: hot
  • 7: warm
  • 6: slightly_warm
  • 5: neutral
  • 4: slightly_cool
  • 3: cool
  • 2: cold
  • 1: very_cold
  • 0: no_response
b_q3b Thermal Comfort daytime outside: what was your personal comfort?
string
Enumeration:
  • 9: very_comfortable
  • 8: quite_comfortable
  • 7: comfortable
  • 6: just_comfortable
  • 5: neither_comfortable_nor_uncomfortable
  • 4: just_uncomfortable
  • 3: uncomfortable
  • 2: quite_uncomfortable
  • 1: very_uncomfortable
  • 0: no_response
b_q4 How many hours did you spend outside today?
float number
b_q5 Times without iButton
string

Tabular: 647_activity_logs_7a9da6c20c97c9debc16e8d16b4eeef6.csv

Description: Log of activity levels as reported by participants during the study

Column Description Type Units
subject_id Subject Identifier where the number corresponds to neighborhood: 1=Coffelt, 2=Encanto-Palmcroft, 3=Garfield, 4=Thunderhill, 5=Power Ranch
string
date date and time in which activity log data were collected
date Format: YYYY-MM-DD HH:MM:SS
indoor/outdoor Whether participant was indoors during the time period, outdoors, or both
string
Enumeration:
  • I: indoor
  • O: outdoor
  • C: Car with Air Conditioning
  • C(no AC): Car without Air Conditioning
  • I/O: in and out
intensity Intensity of activity described
string
Enumeration:
  • 1: low
  • 2: moderate
  • 3: high

Tabular: 647_pick_up_forms_310e105d4604103d2b317239a67caa77.csv

Description: End-of-survey questions at the time of final data collection

Column Description Type Units
subject_id Subject Identifier where the number corresponds to neighborhood: 1=Coffelt, 2=Encanto-Palmcroft, 3=Garfield, 4=Thunderhill, 5=Power Ranch
string
c_q1 Study Awareness: How did you find out about the study?
string
Enumeration:
  • 1: In-person meeting
  • 2: Email
  • 3: Friend/Family
  • 4: Other
c_q2 Participation: Why did you decide to participate?
string
Enumeration:
  • 1: To help
  • 2: Friend/Family influence
  • 3: Heat awareness
  • 4: Interested in science/research
  • 5: other (Gift card, ASU attachment, community involvement, etc)
c_q3 Confusion: Was there anything confusing or inconsistent about the study that we can improve in the future?
string
c_q4 Scale of Comfort: On a 1-5 scale where 1 is very comfortable, no problem and 5 is very uncomfortable, big problem, how did you feel knowing that the iButton was recording the air temperature around you during the study week?
float number
c_q5 Notification: Participant would like to be notified of opportunities to engage in a future versions of this study
string
Enumeration:
  • 0: no
  • 1: yes

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