to Participate in Green Infrastructure Alternatives to ... · People’s Knowledge, Perceptions and...

Map-Based Modeling of

People’s Knowledge, Perceptions and Willingness

to Participate in Green Infrastructure Alternatives

to Traditional Storm-Water Management:

A Case Study in Syracuse

Wanjun Peng1, A. Karen Baptiste2 and Lindsay Speer3

1. Master Candidate

State University of New York College of Environmental Science and Forestry

2. Assistant Professor , Colgate University 3. The Partnership for Onondaga Creek

November 17th, 2010

A voice for the Midland Community and the environment

advocating for better, nonpolluting solutions

for Onondaga Creek – Since 2000

Partnership for Onondaga Creek

2009 - [email protected]

Environmental

Justice



Midland Sewage Plant

Green Infrastructure

means…

• Injustice of Midland plant

will not be repeated

• Onondaga Creek & Harbor

Brook will be cleaner

• Community investment

and beautification instead of

further disruption

Green

Infrastructure

•Solution to capacity problems

with underground storage –

reduce the rain!

•Proposed by Onondaga

Nation

•POC: “If you can stop the

Armory Sewage Plant, you can

stop the Phase III Pipeline too!”

•County Executive Mahoney has

promised that the pipeline will

not be built.





Map of land use / GI possibilities in the

077 sewershed, including University

Neighborhood. Part of presentation by

POC to DEC & Onondaga County, 2008.

Engaging

Community

Dr. April Baptiste

• During 2008 and 2009 the POC, Syracuse University and SUNY-ESF cooperated to obtain over 200 surveys among five neighborhoods of the Midland and Clinton Sewershed to assess public attitudes toward Green Infrastructure (GI) Implementation.

• Explore to what extent individual demographics influence environmental attitudes toward GI

• Explore at what level neighborhood contexts are statistically related to environmental attitudes toward GI

• Use maps to visualize environmental attitudes toward GI implementation across neighborhoods

* Three building blocks of environmental attitudes: Environmental knowledge

Environmental perception

Environmental behavioral intention.

Objective

Methods---At individual level

• Summarize responses using descriptive statistics in Minitab software

• Look for factors that explain responses using regression models in SAS software

Methods---At individual level

• Summarize responses using Descriptive Statistics in Minitab software

• Look for influence of demographics, knowledge, perception of benefits and cost on responses using Regression Models in SAS software

• Divide survey responses by neighborhood

• Apply regression models in SAS software to explore the influence of neighborhood context

• Map predicted responses (from models) across the city using ArcMap Software

Methods---At neighborhood level

RESULTS at the Individual Level: The effect of demographic background and perception of benefits and cost on behavioral intention to implement GI if provided for free(216 Individual Surveys)

Overall GI (All), rain barrels (RB), trees (T), rain garden (RG),

porous driveway/sidewalks (P) and curbside extensions (CE).

Participation likelihood for free GI

All RB T RG P CE

Residency

Ownership

Age

Education

Ethnicity * *

Gender * *

Knowledge + + + + + +

The influence of benefit + + + + + +

The influence of cost - -

RESULTS at the Individual Level:

The effect of demographic background and perception of benefits and cost

on behavioral intention to implement GI if savings on water bills ensued

(216 Individual Surveys)



Participation likelihood for savings

All RB T RG P CE

Residency

Ownership

Age - - -

Education

Ethnicity

Gender

Knowledge + + + + +

The influence of benefit + + + + +

The influence of cost -

RESULTS at the Neighborhood Level: The effect of neighborhood context on respondents’ behavioral intention to implement GI if provided for free(17 block groups with 136 Individual Surveys)



Participation likelihood for free GI

All RB T RG P CE

Neighborhood Canopy Cover (%) + +

Neighborhood Imp. Surface (%)

The percent of houses

occupied by owner+

The percent of African Americans

The percent of females +

Average age of neighbors + + +

The percent below poverty level

RESULTS at the Neighborhood Level:

The effect of neighborhood context on respondents’ behavioral

intention to implement GI if they were to realize savings on their water

bill

(17 block groups with 136 Individual Surveys)



Participation likelihood for savings

All RB T RG P CE

Canopy percentage

Impervious percentage

The percent of houses

occupied by owner

The percent of African

Americans- - -

The percent of female

Age + +

The percent of below poverty

Spatial Prediction

• Model estimation of participation likelihood in overall GI implementation, if

free, in Syracuse, NY (10-25: low to high)

Spatial Prediction

• Model estimation of participation likelihood in overall GI implementation, if

savings on water bills were to occur, in Syracuse, NY (10-25: low to high)

Conclusion• At the individual level, the likelihood of participation is

significantly related to knowledge and perceived benefit of GI.

• At the neighborhood scale, the variation in willingness to implement any GI, with the exception of curbside extension, can be explained primarily by a higher existing tree canopy cover, a lower percent of African American population, and an older population.

• The findings can provide valuable information to government officials working to find cheaper, publically acceptable, and environmentally friendly ways to control storm water management.

Acknowledge

I would like to thank Myrna Hall and Stephen V. Stehman from SUNY ESF for their guidance and expertise during my research in spite of their tight schedule.

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