If the Shoe Fits Methods and Measures of Multimodal Transportation - - PowerPoint PPT Presentation

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If the Shoe Fits Methods and Measures of Multimodal Transportation - - PowerPoint PPT Presentation

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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

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SLIDE 1

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY

If the Shoe Fits…

Methods and Measures of Multimodal Transportation Service Levels in San Francisco

SF Bay IT ITE E Lu Lunch h Meeti eting g | Ap April l 18, 2013

Colin Dentel-Post

PHOTO COURTESY PERKINS+WILL

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SLIDE 2

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

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SLIDE 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)

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 3

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SLIDE 4

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

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SLIDE 5

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
  • rities

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

  • ritie

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

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SLIDE 6

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

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SLIDE 7

Multimodal LOS

MMLOS OS is major

  • r 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

  • pmen

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

  • ring

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

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SLIDE 8

Multimodal LOS

  • Non-ov
  • verlap

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

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SLIDE 9

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

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 9

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SLIDE 10

Multimodal LOS Measures: Auto

Goals ls of method

  • dolog
  • logy

y change

  • Improve
  • ve 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

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SLIDE 11

Commercial Speed Data Coverage

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 11 11

SF CMP Network Commercial Data Sample Size (2011)

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SLIDE 12

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

  • f the CMP legislation.”

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 12 12

Categ egory LOS Monitor

  • ring

ng Results ts (Floatin ating g Car) INRIX INRIX Arterials (PM) 16.6 mph 17.5 mph Freeways (PM) 31.4 mph 34.2 mph

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SLIDE 13

Comparison of Floating Car v. Commercial Speed Data

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 13 13

y = 0.9598x R² = 0.691

10 20 30 40 50 60 70 10 20 30 40 50 60 70

INRIX IX Flo loati ating Car

Weig ight hted ed Ave verage rage Spee eed d Plot lot (mph ph), ), 2011 n=213

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SLIDE 14

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

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 14 14

Thanks Google!

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SLIDE 15

Multimodal LOS Measures: Auto

Goals ls of method

  • dolog
  • logy

y change

  • Improve
  • ve 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

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SLIDE 16

Multimodal LOS Measures: Auto

Goals ls of method

  • dolog
  • logy

y change

  • Improve
  • ve 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

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SLIDE 17

Multimodal LOS Measures: Transit

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 17 17

Requir uired ed measu sures: res: coverag rage e & f & fre 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

On-time time perf rformance rmance

  • Actual

l vs. . schedule duled d headways ways

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SLIDE 18

Multimodal LOS Measures: Transit

Ongoing ing effort to expand t d transit it LOS measur sures es by s y segment ment APC C data

  • Provid

vides es speed, d, travel el time, dwe well l time, , passenge senger r counts

  • Installed

alled on ~1/3 of Muni fleet

  • Easiest

iest data to wo work k wi with AVL data ta

  • Provid

vides es speed, d, travel el time

  • Installed

alled on 100% of fleet

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 18 18

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SLIDE 19

Multimodal LOS Measures: Transit

APC C metrics cs

  • Transit

sit speed

  • Auto-to

to-transit transit ratio on CMP netwo work rk

  • Trave

vel l time e variabilit ability Potential ntial AVL metric: c: headway way varia iability bility

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 19 19

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SLIDE 20

Multimodal LOS Measures: Pedestrian & Bicycle

Focus s on vo n volu lumes, mes, connectivit tivity, y, safet ety Data from exist sting ing sources es

  • Counts

nts

  • Netwo

work rk connectivity ctivity

  • Injuries

ries & f & fatalities ities

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 20 20

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SLIDE 21

Beyond LOS: SF Transit Sustainability Program

For CEQ EQA purpo rposes ses, , SF moving ving beyond yond LO LOS metric tric

  • LOS miti

tigations gations contra ntradict dict Tran ansit sit First, st, unpre predictable, dictable, unfair, air, burden rdensome some

  • New

w metrics: trics: tran ansit sit delay lay an and crowding

  • wding
  • Re

Replace lace mitigations igations with th citywide ywide impact pact fee

  • TSP now

w in environmen ironmenta tal l review iew

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 21 21

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SLIDE 22

Other Uses of Performance Measurement

Findings dings used ed an and au augme gmented ted for r a v a var ariety ety of purpo rpose ses: s:

  • Ongoing

going monitori nitoring ng of system tem

  • Prioritie
  • rities

s for inves estm tmen ent an and man anagem agement nt

  • Plan

anning ning an and project

  • ject

develo elopment pment

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY 22 22

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SLIDE 23

SA SAN N FRAN ANCI CISCO SCO COUN OUNTY Y TRAN ANSPO SPORT RTATIO TION N AUTH UTHORIT RITY

Thanks! Questions?

Colin Dentel-Post colin.dentel-post@sfcta.org (415) 522-4836