2) What s the Purpose of Your Project?
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1 Creatig Walkable, Bikeable Commuities Developig Effective Active Trasportatio Projects ad Programs Overview: Tools ad Strategies to Predict ad Documet Bicyclig ad Walkig Rates 1) Why Documet the Need for Bicyclig ad Walkig Projects? 2) What is the Purpose of Your Project? Source: Natioal Bicycle ad Pedestria Documetatio Project Module 3: Tools ad Strategies for Predictig ad Documetig Bicyclig/Walkig Rates 3) How Ca You Estimate the Project s Potetial to Icrease Bikig/Walkig? What data is curretly available? Where ca you fid the data? 4) Icorporatig Evaluatio Tools i Your Project Desig 1) Why Documet the Need for Bicyclist ad Pedestria Projects? Idetify ad Prioritize Projects: Quatify demad/potetial demad Evaluate project impact Build Support ad Secure Fudig : Raise awareess of impact of walk/bike projects Gai support from elected officials ad commuity stakeholders Improve grat applicatios 2) What s the Purpose of Your Project? Does the project ehace a existig facility or coectio? create a ew facility or close gaps? promote or ecourage bicyclig or walkig? 1
2 3) How Ca You Estimate the Project s Potetial to Icrease Bikig/Walkig? What data is curretly available? Where ca you fid the data? Do you eed to collect ew data? Choose the right data collectio tool Use multiple strategies to make a more compellig case for your project 3a) What Data is Curretly Available? Is there readily available data that Documets the umber of existig bicyclists ad pedestrias? Estimates the share of trips made by bicyclig or walkig? Predicts the umber of bicyclists or pedestrias i the future? 3b) Where ca you fid the data? U.S. Cesus ad America Commuity Survey (ACS) commute trips by mode Metropolita Plaig Orgaizatio / Regioal Trasportatio Plaig Agecy, Cogestio Maagemet Agecy (CMA), local jurisdictio Bicycle/pedestria pla Bicycle/pedestria cout program Travel forecastig models Trasportatio corridor studies Evirometal Impact Reports (EIR) 3c) Do You Need to Collect New Data? Compariso of Data Collectio Methods Low-Cost Higher Cost Data Collectio Method Web-based Surveys Classroom Surveys Maual Couts Itercept Surveys (alog trail or sidewalk) Peumatic Tubes Mobile Ifrared Couters Permaet Ifrared Couters + Peumatic Tubes Type of Data Collect data o both bicyclists ad pedestrias, ca distiguish betwee user type Bicyclists Oly Pedestrias Oly Collect data o both bicyclists ad pedestrias, ca distiguish betwee user type 2
3 Collectig New Data: Surveyig Bicyclists ad Pedestrias Commuity surveys Why people do ot curretly bike/walk How may residets will bike or walk as a result of the project For SRTS, ca quickly dissemiate to studets ad parets at school via Iexpesive to distribute survey ad aalyze data Collectig New Data: Surveyig Bicyclists & Pedestrias Itercept surveys Survey subjects are itercepted alog a existig facility Ca use survey form or iterview format Collect more fie-graied data, e.g. trip purpose or dollars spet More time-cosumig to collect sufficiet data Source: TX Trasportatio Istitute Collectig New Data: Maual Bike/Ped Couts Surveyors cout users alog bikeways, sidewalks or at itersectios Cout period typically icludes peak travel (e.g. 7-9 AM, 4-6 PM), possibly additioal hours Times adjusted based o local bikig ad walkig patters school hours, heavy weeked traffic, etc. Source: MN DOT Collectig New Data: Automated Bike/Ped Couters Mobile ad permaet couter optios Eables data collectio 24 hours/day, 7 days/week Miimal staff time required to retrieve data Couter uit costs rage from approximately $500- $5,000 per couter 3
4 Commute vs. Recreatioal Use Patters Alterative Data Sources Where direct usage data ot available, develop estimates o iformatio collected from Surveys of potetial users Nearby itersectios Similar facility type Facilities located ear similar locatios schools, busiess districts, trasit statios, etc. Studies of bicycle/pedestria usage i other parts of the coutry Collectig New Data: Choosig the Right Tool Data eeded: Number of existig/potetial users automated couters, maual couts, surveys Data eeded: User characteristics Age, sex, bike helmet use maual couts, itercept surveys Data eeded: Usage patter Time of day, day of week, time of year, commute trips automated couters, itercept surveys Low-Cost Strategies for Data Collectio: Utilize Parterships ad Voluteers Parters frequetly used to help Distribute surveys Coduct maual user couts Potetial parters iclude: Schools Bicyclig or walkig advocacy groups Commuity-based orgaizatios PTA s, Kiwais or Rotary Club, eighborhood associatios, churches 4
5 Best Practice Maual Bike/Ped Couts ad Surveys Natioal Bicycle ad Pedestria Documetatio Project Effort to stadardize coutig practices Natioal data collectio effort 2 d week i September At least 1 day durig week ad a Saturday Weekdays 5-7 PM, Saturday 12-2 PM Dowloadable data collectio istructios, forms, ad data etry spreadsheet. Survey forms i Eglish ad Spaish. Iformatio available at: Tools to Facilitate Data Etry Go Couter app created by Rails-to- Trails Coservacy Data etry for maual bike/ped couts Eter data off-lie, upload later to database Case Study Maual Trail Cout/Itercept Survey City of Sa Jose Aual user couts ad survey alog trails for 10 years; documeted sigificat icreases i trail use Data collectio objectives # of daily trail users, usage over time Trip purpose (trasportatio vs. recreatio) User eeds, demographics, perceptios Parterships key to implemetatio Guadalupe River Parks Coservacy Silico Valley Bicycle Coalitio Five Wouds Neighborhood/Commuiversity Case Study Mobile Automated Couters East Bay Regioal Parks District 1,250 mile trail etwork across 2 couties 55 couters, cost is $500/couter Peak use durig commute hours demostrated trails as trasportatio route Data used to help secure $10 millio TIGER grat for Gree Trasportatio Iitiative 5
6 Mobile Couter Loaer Programs Agecies loa couters to local jurisdictios, which are resposible for istallatio ad data collectio. Traiig required for proper istallatio ad data collectio. Bicycle/pedestria couter loaer programs iclude: Freso Coucil of Govermets Solao Couty Trasportatio Authority Sooma Couty Trasportatio Authority Case Study Public Health Parterships (Sa Diego Couty) Established a etwork of automated bicycle ad pedestria cout statios alog regioal bicycle etwork Collaboratio betwee Couty of Sa Diego Health ad Huma Services Agecy (HHSA), Sa Diego State Uiversity (SDSU), Sa Diego Associatio of Govermets (SANDAG) HHSA provided $350,000 through a CDC grat, fudig the purchase ad istallatio of 35 couters at 26 sites. 3d) Forecastig Tools to Estimate Future Users Low-cost optios Surveys of potetial users Sketch plaig methods Modify methodology with localized data Customized method usig relevat local data Rely o alterative data sources Techical Tools Travel demad models Proprietary cosultat models Forecastig Future Bicycle Travel Beefit-Cost Aalysis of Bicycle Facilities O-Lie Tool Key features: Easy to use Customizable: ca substitute detailed local data for Cesus data for greater accuracy Ca estimate facility costs ad ecoomic beefits Major data iputs: Locatio Year of costructio Facility type Bike commute share Residetial desity Facility legth 6
7 Forecastig Future Bicycle Travel Beefit-Cost Aalysis of Bicycle Facilities O-Lie Tool (cot.) Outputs: Total ew bicyclists New adult bicyclists New bicycle commuters New child bicyclists Also estimates mobility, health, ad ecoomic beefits Based o research completed for Natioal Highway Cooperative Research Program (NCHRP) Report 552 Model available at Pedestria Bicycle Iformatio Ceter: Case Study: East Bay Greeway Alameda Couty Trasportatio Commissio Fuded ATP Project Cycle 1: Trail Plaig ad Desig Estimated bicyclists ad pedestrias Liear regressio of couts from 5 existig Alameda Couty trails. Accouted for: Populatio ad job desity Part of iter-jurisdictioal trail Itercept surveys from other trails used to estimate: Future umber of bicyclist ad pedestria users Recreatioal ad utilitaria trips Aalysis also icluded estimates of VMT reductio, health beefits, ad other variables Case Study: East Bay Greeway Alameda Couty Trasportatio Commissio Case Study: Dowtow Bicycle ad Pedestria Improvemets City of Pomoa Fuded ATP Project Cycle 1: crossig improvemets Methodology based o NCHRP 552 (Beefit-Cost Aalysis of Bicycle Facilities) Future users estimated by trail segmet Data collectio by voluteers from L.A. Couty Bicycle Coalitio Key Data Iputs curret ad future bike/ped trips Cesus ad ACS commute trips ad populatio for travel shed Accouted for high rates of bicyclig ad walkig i higher desity areas Accouted for o-commute trips Future bike/ped travel based o populatio projectios Data Outputs Commute share, total bikes/peds, total bike/ped trips 7
8 Case Study: Dowtow Bicycle ad Pedestria Improvemets City of Pomoa Case Study: Safe Coectios ad Complete Streets for West Side City of Hollister Data collectio by voluteers from L.A. Couty Bicycle Coalitio Fuded ATP Small Urba/Rural Cycle 3 : SRTS Project icludes sidewalk, bike lae, ad ifrastructure improvemets Documeted curret use with: Video couts of vehicles ad pedestrias at itersectios AM/PM maual couts of studets eterig campus Paret survey from SRTS pla Case Study: Rico Multi-Use Trail Sata Barbara Couty Assoc. of Govermets Fuded ATP Small Urba/Rural Cycle 3 Costruct multi-use trail over railroad to fill gap i CA Coastal Trail Documeted use usig: Motio-detector camera to documet trespassers o UPRR ROW Caltras bicyclist cout o U.S. 101 Estimated 10-20% of park users usig proposed trail Case Study: SRTS, East Riverside (o-ifrastructure) Riverside Couty DPH Fuded ATP Project, Statewide Cycle 2 SRTS Expasio of pilot chaperoe, studet walk to school ambassadors, ad educatio program Documeted use with: Maual couts by existig chaperoes Growth projected at 10% per statio School erollmet data used estimate total # of studets withi walkig distace alog key corridors 8
9 Forecastig Future Bicycle ad Pedestria Travel Trail Traffic Calculator Use short-duratio couts to develop aual trail use estimates Based o U.S. Departmet of Eergy climatic zoes to reflect geographic variatios i trail use patters Developed by Rails-to-Trails Coservacy, available at: Icorporatig Evaluatio Tools ito Project Desig Evaluatio required by ATP Build measures ito project desig quatitative ad qualitative Coutig equipmet ad fial project evaluatio activities (post-project) caot be part of project cost Utilize parterships cost effective, build commuity support Questios/Commets? 9
n Mix of public, private and NGO respondents Overview n Understanding Walking & Biking Trips n Informing Project Development through:
Creatig Walkable, Bikeable Commuities Developig Effective Active Trasportatio Projects ad Programs ATP Needs & Challeges Survey Mix of public, private ad NGO respodets 96% from orgaizatios/agecies servig
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