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  • Phoenix Area Social Survey (PASS): 2017
  • Larson, Kelli; Arizona State University
    York, Abigail; Arizona State University
    Andrade, Riley; Arizona State University
    Wittlinger, Sally; Arizona State University
  • 2020-07-17
  • Larson, K., A. York, R. Andrade, and S. Wittlinger. 2020. Phoenix Area Social Survey (PASS): 2017 ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).

  • The Phoenix Area Social Survey (PASS) was established in 2001 as part of the Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) project's long-term monitoring program. Every five years, the PASS team surveys households in select neighborhoods in metropolitan Phoenix in order to better understand people's perceptions, attitudes, and behaviors on environmental issues such heat stress and climate change, water scarcity and policy, landscape choices and management, and urban wildlife and biodiversity. In 2001, the first PASS was piloted in 8 neighborhoods (n= 302) in the City of Phoenix, Arizona.

    Aiming for about 20 respondents per neighborhood, the 2006 (n= 808) and 2011 (n= 806) samples were expanded to cover a broader range of neighborhoods (40-45) that better represent the geography of the greater metropolitan area, both in terms of location and demographics. In order to characterize and examine residents' views and practices in particular Phoenix-area neighborhoods, the 2017 survey was redesigned to target a larger number of people (~65) in fewer (12) neighborhoods across the region. The new sampling design allows for intensive neighborhood analyses that link residents' perceptions, attitudes, and decisions to the local ecology (e.g., urban infrastructure, landscape attributes, species composition).

    The 2017 PASS neighborhoods were distributed across CAP LTER ecological monitoring sites at green/blue infrastructure such as the Salt River, Tempe Town Lake, and Indian Bend Wash, in addition to desert preserves such as South Mountain Park and McDowell Sonoran Preserve. Ecological data also collected at these sites included climate and temperature data, nutrient fluxes, and wildlife community measurements. In each neighborhood, for example, the local bird community was measured at three point-count stations so that we can link biodiversity metrics to people's views and actions that affect them. Overall, the 2017 PASS survey explores major themes integral for understanding social-ecological system dynamics including urban ecosystem services, environmental satisfaction and perceptions, and vulnerability and adaptation to various urban ecological risks.

  • N: 33.608      S: 33.328      E: -111.877      W: -112.1
  • knb-lter-cap.667.2  (Uploaded 2020-07-17)  
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  • Data Entities:
    1. 667_codebook_names_labels_380b98375f6e824367c5d543a8df6956.csv  (13.2 KiB; 4 downloads) 
    2. 667_codebook_response_values_meanings_8afbd85ee4fae8be24e4233c1cef59c2.csv  (48.1 KiB; 4 downloads) 
    3. 667_survey_data_dc5a933fdf9b2d4fe208e1e517bef06b.csv  (518.3 KiB; 3 downloads) 
    4. 667_pass_neighborhoods_2017.kml  (62.4 KiB; 3 downloads) 
    5. 667_questionnaire_fae8f3588cc7a0c2471ce2933d3620b3.pdf  (1.5 MiB; 3 downloads) 
    6. 667_PASS-2017_dataFinal_cfaa1f492c0c75062c4db3e03cdafa38.sav  (231.4 KiB; 3 downloads) 
  • 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.
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