session 6- "practices to promote uniformity and quality in nonmotorized data collection and...

8/6/2019 Session 6- "Practices to promote uniformity and quality in nonmotorized data collection and evaluation" by Michael Jones

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Outline

Objectives

Methods

Results

Strengths &Limitations

RecommendedNext Steps


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Objectives

US Congress mandated measurement of changes inbicycling & walking

Supplementary effort to U. of Minnesota Travel Surveys

Counts and surveys conducted in 4 NTPPCommunities in 2007 and 2010

Link to National Bicycle & Pedestrian Documentationand other national research efforts

Model to estimate use on un-built NTPP projects (areawide, specific locations)


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Related Sources & Efforts

National Bicycle & Pedestrian Documentation Project(since 2002, 50 participating agencies, extensive database, foundation for analysis)

National Household Travel Survey

Supplemental Minnesota, Sheboygan counts & surveys

UC Berkeley Traffic Safety Center & other studies

Caltrans Seamless Travel Study (2+ years, 80 countlocations, 4 automatic count machines, new findings oncorrelation between volumes and independent

variables)


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Objectives of theNational Documentation Project

Establish a consistent national methodology forconducting bicycle and pedestrian count and

surveys;

Establish a national database of bicycle andpedestrian count information generated by theseconsistent methods and practices; and

Use the count and survey information to beginanalysis on the correlations bicycle and pedestrianactivity and local characteristics


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Aggregate Model

Work CommuteEmployed adults riding bicycles/walking (US Census)

School CommuteSchool children riding bicycles/walking (US Census and available sources)

College CommuteCollege students riding bicycles/walking (UC Census)

Utilitarian TripsNon-work or school trips by bicycle/walking (surveys, other)

Recreational/DiscretionaryRecreational/discretionary trips by bicycle/walking (surveys, studies)

Total daily estimated bicycle and walking trips

Average trip length, trip purpose

Replaced vehicle miles, health, transportation, other benefits


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NTPP Counts & Surveys

Consistent data collection methods

National database accessible to public

Formation of models

Two basic elements:

Bicycle & PedestrianCounts

Two-hour countsdone annually

Measures annual changes andallows for analysis fromindependent variables

Surveys of Bicyclists& Pedestrians

Tested and refinedquestions

Trip Purpose

Trip LengthMulti-modal Linkages


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NTPP Counts & Surveys

0

50

100

Year 1

Year 2

Year 3

Measure average changes inbicycle and pedestrian volumes atsome locations before and afterNTPP projects.

Measure changes in travelcharacteristics.

Measures transportation benefits.

Input to aggregate model

0

20

40

60

Befo e Afte

Bicycle

Pedest ian


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Sample Results: Marin County

20 locations

1999 historic counts available

Weekday/weekend counts in 2007,2008, 2009 and 2010

Count selection criteria

Times and days


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Screen line count location


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Results: Bicycling on the Rise

+103% 1999-2008 on weekdays, +48% weekends

+17% 2007-2008 on weekdays, +21% on weekends

72% male, 13% children

29% not wearing helmets

11 days/month average

10 miles average round trip


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Results: Mixed Bag for Walking

+48% 1999-2008 on weekdays, -29% weekends

-8% 2007-2008 on weekdays, -10% on weekends

15 days/month average

1.5 miles average round trip


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Results:Aggregate for Marin

Pedestrians

115,680 daily pedestrian trips

81,288 saved vehicle trips 27,442 saved vehicle miles

Bicyclists

18,428 daily bicycle trips 24,965 saved vehicle trips 37,525 saved vehicle trips


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Results: Validation

Bicyclists Pedestrians

Alta Model 18,428 115,680

NHTS 14,128 141,283

Report to Congress 17,909 117,406

Average 16,821 124,789

Table C

Average Daily Bicycle/Pedestrian Trips: Comparing Model OutputsMarin County


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Strengths

Actual counts near NTPP projectsshould yield conclusive proof toCongress

Use of aggregate and corridormodels can provide projections forun-built NTPP projects

Counts in 4 NTPP communities hashelped refine methodology

NTPP effort will contribute to field


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Pedestrian Survey


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Weaknesses & Challenges

Unrealistic expectations on accuracy

Uncoordinated count, survey, and research efforts

Selection of count and survey locations

Connection between counts and aggregate model

Normal daily & seasonal variations

Pulsing of volumes


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Monthly Variation

Multi-Use Paths: Monthly Variations in Use

%

%

%

6 %

8 %

1 %

1 %

1 %

16 %

18 %

an Mar A r May n l A t o

MonthlyUse

(%

ofAnnual

otalUse)

n iana oli 3 lo ation Monon rail lo ation ho lan A ra


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Impact of Climate

Multi-Use Paths Monthly Variations in Use on Monon

Trail (Ind.) vs. Temperature

00

20

0

0

0

0

00

a e a p a l ep ct o ec

Temperature(F)

0 02 0

0

0

0

0 0

2 00

%

ofAnnualUse

empe at e al e


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Variability

Mu t -Use aths: a Va at ons n Use

0%

5%

10%

15%

20%

25%

Mon Tue Wed Thur Fri at un

%ofWeek

Us

e

ndianapoli (30 location ) Terry Her hey Par Trail(Hou ton) uter Ban erage


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Daily Patterns

Multi-Use aths H urly Variations in Week ay Use

0

5

10

15

20

25

6

7 8 910 11

noon 1 2 3 4 5 6 7 8

9P

Starting Hour

%o

fDailyUse

Hershey Prk rail ay ct

onon rail ctuterbanks

Licking County July

anhattan

ron

Queens

rooklyn

taten s

erage


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Recommended Next Steps

Assemble a Working Group of interestedresearchers to collaborate on and produceresearch

Fund and develop a Bicycle/Pedestrian TrafficMonitoring Guide

Fund research to develop an area wide and

location specific estimating tool

Promote research results that show the role ofwalking/bicycling in transportation


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More Funding is Needed

SAFETEAF Nex S x Yea s

$0

$50

$100

$150

$200

$250

$300

total

unding non otorized

unding

B

s

D

a

s

$287 b100

Source: League of American Bicyclists 2005

$3.2 billion1

l in n o

o n ! " o l # il$

" i %

0

20

40

60

80

100

120

walk to work trips all walking trips

TotalDailyTrips(Mill

ionsofT

Source: 2000 US Census, 2001 National Household Travel Survey

3.0%

10.1%

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