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1. A carefully designed schedule was prepared and followed to assure that the field data collection work was accomplished on time and with a minimum of problems. All utility contacts were appraised of this schedule and commitments obtained to keep on track. 2. Bi-monthly progress reports were submitted to the project manager and distributed to the project advisory committees. On several occasions these reports generated questions and suggestions from committee members and others that were carefully considered by the project team. 3. The project manager and PAC/POC reviewed all survey instruments developed for this study. Survey instrument were developed, reviewed by several team members and oversight committee members, and then tested before implementation. 4. Sampling methods were reviewed by team statistician Dr. Peter Bickel and changes made where deemed appropriate before samples were selected. 5. After the postcard surveys were returned, significance tests were conducted to see if the water use of the postcard survey sample was representative of the population (see section in Chapter 3). 6. After the manager surveys were returned, a few discrepancies were found between the billing method indicated on the postcard survey and the manager survey. Follow-up phone calls were made to these properties to see if they had indeed switched billing methods in the meantime, or if they misread the question. 7. The accuracy of the manager surveys were tested by the property site visits that were conducted. Accuracy of data input was spot checked and errors corrected. 8. Through the property site visits, the accuracy of the seasonal demand estimate could be checked. First, measurements of irrigated areas could be obtained and irrigation application rates were calculated. Also, monthly consumption for all years available was graphed to obtain a visual picture of annual water use. 9. A Microsoft Access form was designed to enter postcard survey responses into the Access data base with the aim of minimizing data entry error for survey responses. Manager survey and resident survey data were entered by a contracted firm specializing in data entry. They use a “key and verify” method, in which all responses are entered twice, then compared for discrepancies, which are subsequently corrected. Their programming also contains “range checks” which disallow out-of-range responses for each question. 62
10. The PROPID number appearing on all returned survey forms was also entered into an Access database table. After the survey response database table was created for a given study site, the PROPID from each survey was cross-checked by the project team with the PROPID in the historic water use database table to assure an exact match. 11. Once the survey database table for a given study site was created, certain response columns were checked for the absence or presence of certain types of data entry errors. For example, the record for a year of construction had to fall within a reasonable range. 12. Senior team researchers (Dr. Thomas Miller, and William DeOreo, P.E.) and team statistician Dr. Peter Bickel reviewed all analyses presented in this report as well as the statistical methods employed. 13. A significant peer review process was created enabling the final report to be reviewed by the project manager, the PAC, the POC, and an independent peer review panel of experts. Recommended modifications, additions, and changes from these reviewers were incorporated into the final report. 63
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NATIONAL MULTIPLE FAMILY SUBMETERIN
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CONTENTS LIST OF TABLES............
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Matched-Pair Analysis .............
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LIST OF TABLES Table ES.1.1 Breakdo
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Table 6.6 Elasticity values, analys
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Figure 4.30 RUBS water bill #6 ....
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investigated local water savings as
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We are grateful to the members of a
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quantitative aspects of separate bi
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3. Owner/postcard survey: To identi
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"averages" of impact property water
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in-rent properties, others used the
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of these models included the billin
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70 Average Annual Water Use Per Uni
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COSTS AND BENEFITS Beyond quantifyi
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service charge, then the resident w
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Billing Method Efficient Fixtures?
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70 Avg. Water Use per MF Unit (kgal
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REGULATORY FRAMEWORK REVIEW The fra
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Table ES.1.12 NSUAA Summary of Stat
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above, the researchers offer the fo
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service is preferable, and would he
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practices (BMPs) should be implemen
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infrastructure of the building and
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multi-family housing. The transfer
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CHAPTER 1 INTRODU CTION More and mo
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In 1998, 15.0%, or 15.4 million, of
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TERMINOLOGY AND DEFINITIONS OF BILL
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submetering. With utility-submeteri
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all the two bedroom units for $20 p
Page 63 and 64: HOW TO USE THIS REPORT This report
Page 67 and 68: CHAPTER 2 LITERAT URE REVIEW As the
Page 69 and 70: A review of the literature unearthe
Page 71 and 72: The price elasticity of water deman
Page 73 and 74: expected. Additionally, McClelland
Page 75 and 76: submetered and five control (in-ren
Page 77 and 78: Another study might want to target
Page 81 and 82: CHAPTER 3 RESEARC H METHODS, APPROA
Page 83 and 84: 1. Selection of participating study
Page 85 and 86: STUDY SITE SELECTION The Study aime
Page 87 and 88: Figure 3.2 National Multiple Family
Page 89 and 90: Matched pair protocol/survey - conf
Page 91 and 92: information given the available bud
Page 93 and 94: survey. Service companies that prov
Page 95 and 96: in “business to business” calli
Page 97 and 98: MATCHED PAIR SAMPLE The purpose of
Page 99 and 100: The second part of the visit requir
Page 101 and 102: epresentative of a known population
Page 103 and 104: 51 Table 3.7 Postcard survey statis
Page 105 and 106: Table 3.8 Comparison of annual wate
Page 107 and 108: postcard survey. Nevertheless, exam
Page 109 and 110: confidence interval ranged from 49.
Page 111 and 112: particular property (e.g., the mont
Page 113: State PUC officials - water commiss
Page 118 and 119: These costs represent the commodity
Page 120 and 121: The postcard survey provided inform
Page 122 and 123: Table 4.4 Average number of units f
Page 124 and 125: Two-thirds of the properties that r
Page 126 and 127: Percent of Surveyed Properties with
Page 128 and 129: $700 Average Rent Per Bedroom ($) $
Page 130 and 131: Percent of Surveyed Properties with
Page 132 and 133: Impact properties were also more li
Page 134 and 135: Table 4.8 Issues considered before
Page 136 and 137: Percent of Surveyed Impact Properti
Page 138 and 139: 60% Percent of Surveyed Properties
Page 140 and 141: From the visits, it was found that
Page 142 and 143: 100% Percent of Surveyed Residents
Page 144 and 145: Roughly similar proportions of resi
Page 146 and 147: inserts for toilets (21%) or low-fl
Page 148 and 149: proportion were unsure, 37% from su
Page 150 and 151: Table 4.18 Ownership and rental rat
Page 152 and 153: Figure 4.17 Submeter water bill #1
Page 158 and 159: wastewater rates are not shown so t
Page 160 and 161: Figure 4.23 Hot water hybrid water
Page 162 and 163: RUBS Sample Bills Seven sample RUBS
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wastewater rates are not shown so t
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Figure 4.28 RUBS water bill #4 from
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Figure 4.30 RUBS water bill #6 RUBS
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directly to and then paid by the th
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never subtracting for common area w
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Late Fees At the start of water bil
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124
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intuitively clear, and matches comm
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Indoor water use was normalized on
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Table 5.3 Summarized water use anal
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easonable assumption since there is
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Figure 5.1 shows the frequency dist
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40 Difference in Annual Water Use p
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after 1995. By including only those
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Table 5.11 Statistical tests compar
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Factors that Influence Water Use Th
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Table 5.12 Association of categoric
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Indoor Water Use per Unit in 2001 I
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Table 5.13 Continuous factors from
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Multivariate Models to Determine Im
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properties built before 1995 were c
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A = Beta coefficient for “Propert
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substantially reduces the sample si
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Table 5.17 Model #2 coefficients an
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0.00 indicating that whatever fit d
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commodity charge for water and wast
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properties having generally lower w
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110 Average Annual Water Use Per Un
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analysis, intended to control best
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Table 5.27 Paired samples test, all
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Table 5.30 Estimated water use befo
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Table 5.33 Comparison of water savi
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180
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sector only reduced usage by 18% (A
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Table 6.1 Avoided costs from submet
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submetered. Complete responses of c
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included in this cost/benefit analy
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Table 6.3 Cost and benefit for owne
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Perceived Concerns In the resident
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With a service fee, residents could
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Table 6.4 Economic return for a res
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ANALYSIS OF PRICE ELASTICITIES Econ
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concluded that if a single elastici
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esults from this analysis point to
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over which they have control than d
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According to the basic consumer cho
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The consumer choice problem can be
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210
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water systems from compliance with
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and methods of practice. NIST publi
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Table 7.1 NSUAA Summary of State Re
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New Surveys of State Agencies and W
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the AWWA WaterStats 1999 database.
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Measures, which dispatches a public
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Mississippi, Missouri, Pennsylvania
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226 Table 7.6 Summary of utility re
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DISCUSSION - KEY EXAMPLES OF STATE
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ill. Condominium associations are g
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under construction after January 1,
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Weights and Measures Regulation In
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from the submetering. Meter testing
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clean and decent housing or the lac
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240
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NATIONAL ORGANIZATIONAL STRUCTURE F
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complaints in all 50 states and app
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- Meters must demonstrate in testin
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- Plumbing systems are space constr
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(2) Twisted or kinked flex supply l
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252
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Estimated Water Use By Different Bi
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there are clear benefits to these s
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study site. These values were then
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immediately strengthens the owner's
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among the nation's key strategies f
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all repair and replacement decision
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These findings underscore the obser
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varies with volume of use) for mult
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Recommendation 6 - Efficient plumbi
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financially responsible for their o
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individual unit, the volume allocat
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RECOMMENDATIONS FOR FURTHER RESEARC
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Fixed rates - Part of a master mete
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Total-capture submetering - a type
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282
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Corral, L.R. 1997. Price and Non-Pr
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McClelland, L. 1980. Encouraging En
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Young, C.E., K.R. Kinsley and W.E.
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