If the Shoe Fits… Methods and Measures of Multimodal Transportation Service Levels in San Francisco PHOTO COURTESY PERKINS+WILL Colin Dentel-Post SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY SF Bay IT ITE E Lu Lunch h Meeti eting g | Ap April l 18, 2013
Overview and Role of the San Francisco County Transportation Authority (SFCTA) Local l cont ntext t in n San n Fra ranc ncisc isco • Dense se • Multimod imodal al • Tra rans nsit it Firs rst • City y & C & County y structur ure SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 2
Overview and Role of the San Francisco County Transportation Authority (SFCTA) About t SFCTA TA • Sales s tax administrato nistrator • 11-memb 11 ember er Board comprised ised of Board of Superviso visors rs • Cong ngest estion ion Mana nagement ement Agenc ncy y (CMA) MA) SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 3
Overview and Role of the San Francisco County Transportation Authority (SFCTA) About t SFCTA TA • Sales s tax administrato nistrator • 11 11-memb ember er Board comprised ised of Board of Superviso visors rs • Cong ngest estion ion Mana nagement ement Agenc ncy y (CMA) MA) • Respo spons nsib ible le for Congestion estion Manage gement ment Progra ram m (CMP) P) • CMP update e require ired biennia nially lly by y state statut ute • Sta tatu tuto tory ry elements ents of CMP inc nclude, de, but t no not t limited ited to to: • Highway hway and roadw adway ay system em monitor itoring ng • Multi ti-modal modal system em perfo rformance rmance analysis lysis SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 4
Purpose of the CMP Strength then n links ks betwe ween en and among ng: • Tra ransp nsporta tation tion syste tem m perfo forma mance nce • Prior orities ities for inve nvestm tmen ent t and nd mana nage gement ent • Land nd use e policies licies and nd impa pact ct ana nalysi sis s practic ctices es • Re Regional gional air r qu quality lity plans s and nd local al impl pleme ement ntati tion By: By: • Tracki cking g syste tem m cond ndition itions, s, land nd use e change ges, s, and nd travel vel dema emand • Monitoring City’s conformity with congestion management require quirements ments • Coordi dina nati ting g SF projec ject t prior oritie ities s and nd fundin nding g eligib igibili ility ty SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 5
Level of Service Monitoring Requirements Features res Supports rts biennia nial l CMP • Measur ures es vehic icular lar LOS • Includ udes es multi ti-mo modal dal element ent • Infill ll Opportu tunit nity y Zones es • Cove vers rs most t of SF CMP netwo work • Exempt pt from LOS standa dards rds • Strength thens ns multimo timodal dal appro roach ach SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 6
Multimodal LOS MMLOS OS is major or step in the ri righ ght dire rectio ction n for HC r HCM LOS S methodo hodolog logy, y, and the SFC FCTA A applauds auds the developm opmen ent of multimo imodal dal perf rform rman ance ce standards ards, , but The SFC FCTA A determ rmined ined MM MMLOS S is no not the most appro ropr priate iate tool for c r countywi ntywide de LOS monit itor oring ing in the San Fr Franci cisco sco context ext SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 7
Multimodal LOS • Non-ov overlap rlappin ping g netwo work rks • MMLOS is appropr priate iate for evaluating luating multi-mod modal al performan mance e of a facility ity • Local l facilities ities may y be optimiz mized ed for a subset set of modes es • SF focus s on outcomes mes • Incide dent nts • Ride dersh rship ip / users • Sys ystem em build-out ut progress ess SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 8
Multimodal LOS Measures: Auto Methodolo dology gy and Data Collec lection tion • Metric for LOS determina mination ion • Mean peak k period d segmen ment t speed d (HCM CM 1985) • Data collection ction up to 2011: Floating ating Car • Expensive nsive • Small l sample ple size ze • Data ta collection ction sta tarting rting fro rom 2013: Commercia mercial l speed ed data • Speed data supplied lied by IN y INRIX IX SAN SA N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 9
Multimodal LOS Measures: Auto Goals ls of method odolog ology y change • Improve ove data accuracy • Expand d data scope • More time e periods ds • Variability bility • Days ys of we week • Fre ree up re resources urces for in r incre reasi asing ngly ly sophistic histicated ated and nd data ta- drive ven n analysis ysis of other modes es • Transit sit reliab ability ility ? • Tra rans nsit it cro rowd wding ng ? SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 10 10
Commercial Speed Data Coverage SF CMP Network Commercial Data Sample Size (2011) SAN SA N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 11 11
Comparison of Floating Car v. Commercial Speed Data Findings ings • Differ eren ence ce in average age speeds ds througho ghout ut CMP P netwo work • Arterials: erials: approx rox. . 5% diff. ff. • Free eeways ways: : <9% diff. ff. • Indica cate ted d that “private commercial data would provide an equall lly accept eptable able data sourc rce e to meet the re requirem remen ents ts of the CMP legislation.” LOS Monitor oring ng Categ egory Results ts INRIX INRIX (Floatin ating g Car) Arterials (PM) 16.6 mph 17.5 mph Freeways (PM) 31.4 mph 34.2 mph SAN SA N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 12 12
Comparison of Floating Car v. Commercial Speed Data Weig ight hted ed Ave verage rage Spee eed d Plot lot (mph ph), ), 2011 70 60 50 40 y = 0.9598x IX INRIX R² = 0.691 30 20 10 0 0 10 20 30 40 50 60 70 Flo loati ating Car n=213 SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 13 13
Commercial Speed Data Weaknesses Ex Examp mple: e: Duboce ce Av Ave below low the Centra tral Freew eway ay • Floati ating ng Car mean an speed ed: : 18.5mph • INRI RIX mean an spee eed: d: 37.0 37.0 mp mph Other er challe lenging nging lo locat ations ions for priv ivate te comme mmerc rcial ial data: • Downto wntown wn (canyo yon effect) t) • Low w sample ple siz ize e segm gments ents Thanks Google! SAN SA N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 14 14
Multimodal LOS Measures: Auto Goals ls of method odolog ology y change • Improve ove data accuracy • Expand d data scope • More time e periods ds • Variability bility • Days ys of we week • Fre ree up re resources urces for in r incre reasi asing ngly ly sophistic histicated ated and nd data ta- drive ven n analysis ysis of other modes es • Transit sit reliab ability ility ? • Tra rans nsit it cro rowd wding ng ? SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 15 15
Multimodal LOS Measures: Auto Goals ls of method odolog ology y change • Improve ove data accuracy • Expand d data scope • More time e periods ds • Variability bility • Days ys of we week • Fre ree up re resources urces for in r incre reasi asing ngly ly sophistic histicated ated and nd data ta- drive ven n analysis ysis of other modes es • Transit sit reliab ability ility • Tra rans nsit it cro rowd wding ng SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 16 16
Multimodal LOS Measures: Transit Requir uired ed measu sures: res: coverag rage e & fre & f requ quency ency SFMTA A Prop E sys ystemwid emwide standa dards rds include: de: • Sche hedule uled d serv rvic ice e deliver ivered ed • Crowd wdin ing • On-time On time perf rformance rmance • Actual l vs. . schedule duled d headways ways SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 17 17
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