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2019 North Shore Transportation Survey Report

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2019 North Shore Transportation Survey Report 2019 North Shore Transportation Survey DISTRICT OF city NORTH westvancouver of north ✓ VANCOUVER Vancouver 2019 North Shore Transportation Survey Final report September 2020 Prepared for: City of North Vancouver, District of North Vancouver, and District of West Vancouver Prepared by: R.A. Malatest & Associates Ltd. & Associated Engineering (B.C.) Ltd. s Associated MALATEST Engineering ^ \ 4 ww . 1 Page 1 2019 North Shore Transportation Survey if <: ■ ■ - • Igr 1: 4 .•* .•* •• •• .•* MALATEST Contact: • • R.A. Malatest & Associates Ltd. • • Phone: (250) 384-2770 *•. Web: www.malatest.com « Associated Engineering ffc sa i • -Vr J ■ m 1 ■: N ii1 ■kv* ® DISTRICT OF city NORTH westvancouverf Page 2 of norths VANCO.. W- Vancouver 2019 North Shore Transportation Survey Executive Summary This report summarizes the results of the first North Shore Transportation Survey (NSTS) conducted in the fall of 2019. The NSTS is intended to track trends in transportation mode shares and other metrics associated with North Shore residents’ daily travel. The survey also collects information on other aspects of residents’ travel habits, such as frequency of cycling and transit use, and gathers residents’ input on issues relevant to transportation planning. The 2019 NSTS serves as a baseline for comparison of the results for future survey cycles. The survey will be conducted every two years, with mini-surveys being conducted in alternate years to maintain contact with survey participants. In the fall of 2019, the survey was completed with a sample of 1.2% of the population of the North Shore municipalities and First Nations (the City of North Vancouver, the District of North Vancouver, and the District of West Vancouver, Tsleil-Waututh Nation lands, and Squamish Nation lands within the North Shore area), for 1,905 surveys with residents. The survey gathered information on 6,821 trips made on a prior weekday. When weighted and expanded, the survey data represent over 158,000 residents from 76,000 private households in the study area, and 579,000 weekday trips. The following chart highlights the mode shares for residents 15+ years of age overall for the North Shore and by municipality. Trip Mode Share - North Shore and by Municipality1 100% 2.3% 2.5% 2.1% 2.0% Other 12.7% 9.7% 90% 13.9% 19.6% 8.0% Bicycle 80% 8.0% 10.5% 5.7% Walk 6.8% 70% 6.7% 17.0% Transit 60% Auto Passenger 7.4% 50% Auto Driver 40% 73.9% 66.1% 69.4% 30% 53.6% % of of Total % Daily Trips 20% 10% 0% North Shore District of City of North West North Vancouver Vancouver Vancouver 1 Mode shares of 1% or less are included in the chart, but values are not displayed. ‘Other’ modes (low speed motor vehicle, taxi, ferry, intercity coach bus, train, airplane, etc.) represent 0.5% of all daily trips made by North Shore residents, 0.5% of trips made by DNV residents, 0.2% of trips made by CNV residents, and 0.7% of trips made by DWV residents. Page 3 2019 North Shore Transportation Survey The survey results suggest that under normal weekday conditions (outside of the impacts of the current COVID-19 pandemic), two-thirds (66.1%) of all trips made by North Shore residents over the age of 15 are made by auto drivers, with another 6.7% made as auto passengers. More than one in ten trips is via transit, at a 10.5% mode share. Active modes make up 16.2% of all trips, with a 13.9% walk mode share and a 2.3% cycling mode share. By municipal area (with the results for residents of the First Nations lands included with adjacent municipalities), the following observations can be made: The District of West Vancouver (DWV) has the highest percentage of auto driver trips with almost 74% of trips while the City of North Vancouver (CNV) has the lowest percentage with around 54% of trips. Auto passenger trips represent around 7.4% of trips in CNV while they represent only 5.7% in DWV. Transit trips are significantly higher for CNV residents at almost 17% of trips, while they represent only 8% for both District of North Vancouver (DNV) and DWV residents. CNV has significantly higher walking trips, at 20% of trips. Walking trips for DNV and DWV residents represent 13% and 10% of trips, respectively. The expanded survey data provide estimates on the daily number of trips by different modes. Of the 579,000 daily person-trips, it is estimated that almost 383,000 are auto driver trips (which represents the number of private vehicle trips) and 38,800 are auto passenger trips (with most being served by the auto driver trips). Each weekday, North Shore residents also make about 61,000 trips by transit, 80,500 walking trips, and 13,000 cycling trips. Automobile drivers incur about 3,200,000 vehicle kilometers each weekday on roads on the North Shore and in nearby municipalities, excluding longer-distance trips outside the Metro Vancouver region. The survey results reveal that North Shore residents make a considerable number of trips crossing the Burrard Inlet, with 25% of daily trips being to or from locations south of the Burrard Inlet, many of which are work-related. This includes destinations in the Vancouver downtown (Central Business District/West End) with 27,000 daily trips from the North Shore to this area each day, and an equivalent number returning), the rest of Vancouver (20,700 daily trips), Burnaby (10,600 daily trips) and other destinations in the Metro Vancouver region outside the North Shore. Future survey cycles will allow tracking of how mode shares and other travel patterns change over time as the North Shore grows, population demographics change, new transportation initiatives are implemented, and residents’ travel patterns evolve. Page 4 2019 North Shore Transportation Survey Table of Contents Executive Summary ...............................................................................................................................3 Table of Contents ....................................................................................................................................5 List of Figures ..........................................................................................................................................8 List of Tables ......................................................................................................................................... 10 1 Introduction .................................................................................................................................. 12 1.1 Project Overview ......................................................................................................................... 12 1.1.1 Background and Objectives ................................................................................................. 12 1.1.2 Design and Administration of the 2019 North Shore Transportation Survey ..................... 12 1.1.3 Comparison to the TransLink Metro Vancouver Regional Trip Diary Survey ...................... 13 1.1.4 Analysis of the Survey Results ............................................................................................. 14 1.1.5 Use of the 2019 NSTS as a Baseline Survey ......................................................................... 15 1.1.6 The COVID-19 Pandemic and the NSTS Research Program ................................................ 16 1.2 Report Organization .................................................................................................................... 16 1.3 Interpreting the Survey Results .................................................................................................. 16 1.4 Acknowledgements ..................................................................................................................... 17 2 Survey Geography ....................................................................................................................... 18 2.1 Survey Scope ............................................................................................................................... 18 2.2 Survey Geographies .................................................................................................................... 19 3 Participant Characteristics ...................................................................................................... 21 3.1 Age and Gender Distribution ...................................................................................................... 21 3.2 Household Characteristics .......................................................................................................... 22 3.2.1 Dwelling Type ...................................................................................................................... 22 3.2.2 Household Size .................................................................................................................... 24 3.2.3 Household Income ............................................................................................................... 25 3.3 Language and Level of Education................................................................................................ 26 3.4 Health Status ............................................................................................................................... 28 3.5 Occupational Characteristics ...................................................................................................... 29 3.5.1 Occupational Status ............................................................................................................ 29 3.5.2
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