Japanese Facts on Car Demand & others

Similar documents
Urban Land Use/Transport Policy, Metro and Its Impacts in Shanghai

IMAGE PROCESSING ANALYSIS OF MOTORCYCLE ORIENTED MIXED TRAFFIC FLOW IN VIETNAM

Economy. 38% of GDP in 1970; 33% of GDP in 1998 Most significant decline in Manufacturing 47% to 29%

Aging of the light vehicle fleet May 2011

Urban Transport systems in major cities in China. Sun Kechao Senior Engineer China Academy of Transportation Sciences, Beijing, China

Abstract. 1. Introduction. 1.1 object. Road safety data: collection and analysis for target setting and monitoring performances and progress

2.1 Outline of Person Trip Survey

Household Projections for Japan 1 : Outline of Results and Methods. Hachiro Nishioka, Toru Suzuki, Masakazu Yamauchi, and Keita Suga

Influence of Urban Railway Development Timing on Long-term Car Ownership Growth in Asian Developing Mega-cities

Facts and Figures. October 2006 List Release Special Edition BWC National Benefits and Related Facts October, 2006 (Previous Versions Obsolete)

Technological Innovation, Environmentally Sustainable Transport, Travel Demand, Scenario Analysis, CO 2

Velo-city Global 2016

The Environmental Benefits and Opportunity of Shared Mobility

Chapter 1 POPULATION

The purpose of the projections is to obtain a future number of private households by family type. This report deals with five different family types:

Innovation of Automobile Dealers in Hokkaido

An Evaluation on the Compliance to Safety Helmet Usage among Motorcyclists in Batu Pahat, Johor

Key Outcomes. The key outcomes of the preliminary study:

Passenger seat belt use in Durham Region

Development of Alternative Fuel for Public Transport in Ho Chi Minh City

Ministry of Infrastructure and Watermanagement

Sustainable Urban Transport Index (SUTI)

Carpooling and Carsharing in Switzerland: Stated Choice Experiments

New Zealand Transport Outlook. VKT/Vehicle Numbers Model. November 2017

ACCESS MODE CHOICE MODEL FOR INTERCITY PASSENGER TRAVEL. Prof. CSRK Prasad Head, Transportation Division NIT Warangal

UTA Transportation Equity Study and Staff Analysis. Board Workshop January 6, 2018

Table of Contents. 1.0 Introduction Demographic Characteristics Travel Behaviour Aggregate Trips 28

The Fundamental Law of Highway Congestion: Evidence from the US

Young drivers. Drivers involved in fatal or injury crashes. Drivers involved in fatal/injury crashes per 100. per licence holders (lines)

Dr. K. Gunasekaran Associate Professor Division of Transportation Engineering Anna University Chennai

STATISTICS. Economic Research and Regional Cooperation Department. Core Indicators. Development Economics and Indicators Division

Okada Akira Faculty of Environmental and Information Studies, Tokyo City University

Quick Facts General Statistics. Fatality Rate per 100,000 Population Source: FARS/Census

8. TRIP DISTRIBUTION. 8.1 Trip Distribution by Trip Purpose. Figures 8.1 show desire lines by trip purpose. < To Work >

An Investigation of the Distribution of Driving Speeds Using In-vehicle GPS Data. Jianhe Du Lisa Aultman-Hall University of Connecticut

Gradual realization of constraints. Traditionally supply centric. Focus only on addition of physical infrastructure. Land Resources Energy Environment

VIETNAM TRAFFIC SAFETY FOR 2 WHEELERS: CHALLENGES AND STRATEGIES. Trinh Thu Ha Deputy Chief Office National Traffic Safety Committee Vietnam

Transport Sector Performance Indicators: Sri Lanka Existing Situation

Long-term trends in road safety in Finland - evaluation of scenarios towards 2020 and beyond

Rico Wittwer New mobility trends in urban travel behavior? Evidence of the 10th wave from the cross-sectional study Mobility in Cities SrV in Germany

Motorcycling. New Zealand Household Travel Survey October 2015

Rui Wang Assistant Professor, UCLA School of Public Affairs. IACP 2010, Shanghai June 20, 2010

POPULATION. Chapter 1

Table 1. GDP per Capita, current prices, (US$)

Road fatalities in 2012

Exploring Changing Travel Trends

HAS MOTORIZATION IN THE U.S. PEAKED? PART 2: USE OF LIGHT-DUTY VEHICLES

Vehicle Miles Traveled in Massachusetts: Who is driving and where are they going?

The Built Environment and Motor Vehicle Ownership & Use. Outline

Bringing Bus Rapid Transit to Tanzania

Dunedin Peak Oil Vulnerability

TRAVEL DEMAND FORECASTS

EV research at Chalmers using GPS data from vehicles

History of Subway in Kyoto

Submission date:????, 2011 Word count words + 6 Tables and 2 Figures

the Ministry of Transport is attributed as the source of the material

Mysuru PBS Presentation on Prepared by: Directorate of Urban Land Transport

Do U.S. Households Favor High Fuel Economy Vehicles When Gasoline Prices Increase? A Discrete Choice Analysis

Shared Transport experience from the UK

Car passengers on the UK s roads: An analysis. Imogen Martineau, BA (Hons), MSc

Predicted response of Prague residents to regulation measures

ECONOMIC SURVEY STATISTICAL APPENDIX

TRAFFIC SAFETY FACTS. Overview Data

A Study on Alternative Urban Transportation Mode Choices in Ulaanbaatar City of Mongolia

Visioning and Backcasting for UK Transport Policy

MOBILITY AS A SERVICE

Use of National Household Travel Survey (NHTS) Data in Assessment of Impacts of PHEVs on Greenhouse Gas (GHG) Emissions and Electricity Demand

DAVID DAVID BURNS BURNS RAILROAD RAILROAD INDUSTRIAL INDUSTRIAL ENGINEERING ENGINEERING CONSULTANT CONSULTAN CHICAGO CHICAGO, USA, USA

DOT HS April 2013

Can Public Transportation Compete with Automated and Connected Cars?

HAS MOTORIZATION IN THE U.S. PEAKED? PART 5: UPDATE THROUGH 2012

Moving around Metro Vancouver: EXPLORING NEW APPROACHES TO REDUCING CONGESTION

Travel Demand Modeling at NCTCOG

DAILY TRAVEL AND CO 2 EMISSIONS FROM PASSENGER TRANSPORT: A COMPARISON OF GERMANY AND THE UNITED STATES

Understanding Traffic Data: How To Avoid Making the Wrong Turn

Yonge-Eglinton. Mobility Hub Profile. September 19, 2012 YONGE- EGLINTON

Transportation and Energy

CHANGE IN DRIVERS PARKING PREFERENCE AFTER THE INTRODUCTION OF STRENGTHENED PARKING REGULATIONS

HIGHWAY INTELLIGENCE - EUROPEAN ROAD FREIGHT FLEET REPORT - March, 2016

Valuing Convenience in Public Transport in the Korean Context

World Bank Support to Urban Transport in India

Main Contents I. Development of Electric Vehicles and Other Kinds of Alternative Energy II. Features of China s Petroleum Market III. Outlook on China

The future transport markets

Jeffrey Busby A/Director, Infrastructure Program Management TransLink Urban Sustainability Accelerator

Whither the Dashing Commuter?

Bus The Case for the Bus

Systematic evaluation of new services at mobility hubs

Evaluation of an Electric Bike Pilot Project at Three Employment Campuses in Portland, Oregon

SA TAXI IMPACT DELIVERING A SOCIAL & COMMERCIAL BENEFIT R18.6 BILLION LOANS ORIGINATED CREATING R2.9 BILLION LOANS ORIGINATED CREATING

Efficiency Matters for Mobility. Presented at A3PS ECO MOBILITY 2018 Vienna, Austria November 12 th and 13 th, 2018

Comparison of 2013 VMT Fatality Rates in the States and in High-Income Countries

Transport and the rural economy. Gordon Stokes

Sustainable Transport and Restraining CO 2 emissions in Latin America- good news from a forgotten continent

Use of Big Data for Vehicle Kilometres. Noreen Dorgan CSO Ireland April 2018

Toward the Realization of Sustainable Mobility

The Strategies and Revelation of Free Buses in Chengdu

Who has trouble reporting prior day events?

Urban Mobility and Energy Trends in Istanbul

A study on motorcycle-based motorization and traffic flow in Hanoi city: toward urban air quality management

Transportation 2040: Plan Performance. Transportation Policy Board September 14, 2017

Transcription:

Japanese Facts on Car Demand & others Tetsuro HYODO Professor, Tokyo University of Marine Science and Technology contact address Household (HH) Infrastructure Population more Total distance of expressway Size of HH more # of HH Trend of all modes more Aging more more Car demand Child reduction Trip length Marriage Age Driver attribution more more # of trips Vehicle Kilometer Traveled (VKT) GDP Economic Income distribution Car ownership # of cars # of license holders Tentative working hypothesis Gas price Fare Size of car more Clickable, move to figure

Decomposition Approach for Time Series Data during 1987 to 2009 VKT #of cars #of licenses VKT population population # of cars # of licenses VKT #of cars #of licenses VKT population population # of cars # of licenses #of cars #of licenses VKT population # of cars # of licenses #of cars population #of licenses # of cars # of VKT licenses

VKT #of cars #of licenses VKT population population # of cars # of licenses

Population size has been decreasing from 2009, Aging Rate increasing constantly.

Number of households is increasing because of the household size (number of household members) is decreasing. Does this decrease car activities?

Increase of average marriage age causes reduction of number of child, car activities, reduction of car sales market

From 1990, one or two members household became major, now under 4 household covers 75%.

Male Because of aging, the share of license holders of younger generation is decreasing. Female

Number of cars has already saturated, however, small size vehicle share is increasing because of efficient & low price, and increase of female drivers Downsizing ( Small car : engine displacement is under 660 cc)

Vehicle Kilometers Traveled (VKT) has been apparently decreasing from 2004, simultaneously downsizing occurred. ( Small car : engine displacement is under 660 cc)

Monthly Traveled Trip Distance Distribution The share of short trips has been increasing gradually. Data: Motor vehicle transport statistics (sample size is about 15,000)

Low economic growth rate and high level of gas price were one of the major reasons for shrinking car activities.

Low income, especially increasing low income people causes car demand reduction

The share of short trip had been increasing, however, it was decreased in 2010. Trip distance distribution on a weekday Data: Road Traffic Census (sampling rate is about 3% of car owners)

The share of elder drivers is dramatically increasing, young drivers (20 or 30 years old male drivers) decreasing Share of characteristics of each car s driver Data: Road Traffic Census (sampling rate is about 3% of car owners)

Male Characteristics of each car s driver Female Female young drivers is decreasing dramatically. Data: Road Traffic Census (sampling rate is about 3% of car owners)

Now, 1/3 trips is covered by small size cars, number of total trips has saturated. Data: Road Traffic Census (sampling rate is about 3% of car owners)

Average trip distance of small cars is shorter than others, however, it has been increasing. Small car is not additive car, alternates medium or large size car? Data: Road Traffic Census (sampling rate is about 3% of car owners)

Because of difference of main purpose of car usage, female s number of trips is greater than male. Result in 2010 survey Data: Road Traffic Census (sampling rate is about 3% of car owners)

Because of difference of main purpose of car usage, male s average trip length is greater than male. Result in 2010 survey Data: Road Traffic Census (sampling rate is about 3% of car owners)

Amount of passenger kilometers of all modes peaked out from 2004.

Number of passengers * Average trip length Amount of passenger kilometers

Projection of future population in Japan. How to keep our activities under the hyper-aging society

Transition of License Holders by age license holder ratio(%) 100 2005 80 100% 80% 60 40 20 1980 2000 1990 60% 40% 20% 1990 1980 2000 2005 0 16-19 25-29 35-39 45-49 55-59 65-69 20-24 30-34 40-44 50-54 60-64 70-0% 16-19 25-29 35-39 45-49 55-59 65-69 20-24 30-34 40-44 50-54 60-64 70- (male) (female) 24

Tentative working hypothesis for discussion Social environment Falling birthrate Delaying 05 marriage 06 07 Aging 04 03 Decreasing income Low economic growth A-1 A-2 # of license holders? 08 09 Vehicle downsizing Urbanization? Gas price? 10 11 Shrinkage of HH size Decreasing trip length 12 13 14 A-3 15 Saturating # of trips 01 02 Decreasing VKT 16 VKT by sex, vehicle size, year

# of trips [million] trip length [km] VKT [million km*trips] Small Male Female except Small Total

# of trips [million] trip length [km] VKT [million km*trips] Small Male Female except Small Total

# of trips [million] trip length [km] VKT [million km*trips] Small Male Female except Small Total

# of trips [million] trip length [km] VKT [million km*trips] Small Male Female except Small Total

# of trips [million] trip length [km] VKT [million km*trips] Small Male Female except Small Total

# of trips [million] trip length [km] VKT [million km*trips] Small Male Female except Small Total

Tetsuro HYODO hyodo@kaiyodai.ac.jp Tokyo University of Marine Science and Technology Dept. of Logistics and Information Engineering 2-1-6, Etchujima, Koto-ku, Tokyo #135-8533, JAPAN