YUKIKO MIYAKI General Manager & Executive Researcher Life Design Research Dept - SIP-adus
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2021. March Strategic Innovation Promotion Program(SIP) Automated Driving (expansion of system and service) Study on Assessment and Strategy of Promotion for Social and User Acceptance (FY2019-FY2022) FY2020 Annual Report (the second periodic report) YUKIKO MIYAKI General Manager & Executive Researcher Life Design Research Dept. All Rights Reserved, Copyright © 2021, DLRI, Inc. 1
Positioning of the survey [Collection of quantitative data] [Collection of qualitative data] Individual research by Dai-Ichi Life Research survey 2017 Institute Inc. * Information was collected as part of young people survey (12,446 samples collected nationwide) Individual research by Dai-Ichi Life survey Cooperation with SIP 2018 Research Institute Inc. (Joint collection of quantitative data, 3,000 samples collected nationwide dispatching information of SIP cafe, etc.) METI & MLIT commissioned project survey 2019 The 1st Questionnaire Survey on Automobiles and automated Eiheiji Town: World Cafe Driving 12,400 samples collected nationwide METI & MLIT commissioned project - Himakajima, Aichi Prefecture: World Cafe survey 2020 The 2nd Questionnaire Survey on Automobiles and automated - Hitachi City, Ibaraki Prefecture: World Cafe Driving - Chatan Town, Okinawa Prefecture: Test-ride & group 12,400 samples collected nationwide discussion - Australia: Test-ride & interview METI, MLIT and SIP commissioned survey ・ Collecting follow-up information 2021 project on past World Cafe locations The 3rd Questionnaire Survey on Automobiles and automated Driving All Rights Reserved, Copyright © 2021, DLRI, Inc. 2
Outline of the Third Questionnaire Survey on Automobiles and Automated Driving Additional survey for the same sample margining by the sample number (a certain number were missed) Number of sample Number of 24,583 sample 12,392 attribute 【Content】 METI&MLIT survey items SIP survey items 【Budget】 METI&MLIT SIP (Time series survey+support car・MaaS (KPI/KGI items +Impact of Covid-19 on mobility) +Impact of Covid-19 on mobility) ■Target:People aged 18-79 in Japan, 24,583(METI&MLIT)・12,392名(SIP) * the result of age 18-69 is used for main analysis ■Period:January 2021 (METI&MLIT: 1/16-18 ・ SIP: 1/16-24) ■Method:Online survey(by Cross Marketing) All Rights Reserved, Copyright © 2021, DLRI, Inc. 3
The Contents of Surveys (Item Lists) 【METI and MLIT Survey】 【Cabinet Office SIP Survey】 ◆FACE ◆Q1 Awareness of Place of Residence ◆Q1 Automated Driving Comprehensive ◆Q2 Itemized Acceptance of Automated Acceptance Score by Type Driving (for Scale) ◆Q2 Understanding of automated Driving ◆Q3 Awareness of Understanding and ◆Q3 License / Car Usage Status / Usage Type Cooperation Toward the Spread of ◆Q4 Number of Cars Owned Automated Driving ◆Q5 Accident / Near Miss Accident ◆Q4 Specific Requirements for the Realization Experience of Automated Driving services ◆Q6 Changes in Transportation Usage Due to ◆Q5 What to Do as a User for Popularization Covid-19 ◆Q6 Movement Restrictions and Lifestyle ◆Q7 Regular Places and Means of Changes Due to Covid-19 Transportation ◆Q7 Satisfaction with Mobility in Daily Life ◆Q8 Change in Frequency of Going Out Due to ◆Q8 Avoidance Behavior of Covid-19 Infection Covid-19 Spread ◆Q9 Return of License Due to Aging ◆Q9 Avoiding the Spread of Covid-19 ◆Q10 Actual Conditions of Use of Support Cars Infection and the Possibility of Cars and Support Car Subsidies ◆Q10 Request for Work Style Change ◆Q11 Mobility Environment (Workers) ◆Q12 Awareness of MaaS ◆Q11 Values and Behavior ◆Q13 Awareness and Actual Conditions Regarding Automated Driving ◆Q14 Usage and Understanding of Driving Assistance Technology Survey form creation cooperation: ◆Q15 Expectations for Automated Driving ・Cabinet Office (SIP-adus) ・National Police Agency ・Consumer Affairs Agency ・Ministry of Economy, Trade and Industry ・Ministry of Land, Infrastructure, Transport and Tourism All Rights Reserved, Copyright © 2021, DLRI, Inc. 4
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Distribution of Acceptance Scores by Factors (Overall and Gender) ◆ Higher acceptance score of life changes and learning in women than in men. ◆ Higher acceptance score of Uniqueness and Technical Limits in men than in women. Accepting various Accepting various changes in life due learning loads for to the spread of the spread of (point) 17 automated driving. Accepting the automated driving. unique properties 15.85 of automated 16 15.64 15.43 Accepting various driving and limits 15.24 and risks of 15.11 14.98 cost burdens in the 15 spread of technology. automated driving. 14 13.66 13.47 13.28 13.11 13.11 13.11 13 12 11 10 Lifestyle Uniqueness / 生活変化 学習 Learning コスト Cost 固有性・技術限界 Change Technical Limits 全体 ■Male ■Overall 男性 ■Female 女性 All Rights Reserved, Copyright © 2021, DLRI, Inc. 6
Distribution of Acceptance Scores by Factors (Age) ◆ Teenagers (18-19 years old) tend to be generally receptive. ◆ Young people are expected be a key from the perspective of accepting uniqueness and technical limitations that are particularly difficult to cultivate. 17 (Point) 16 15 14 13 12 11 10 Lifestyle Uniqueness / Learning Cost 生活変化 Change 学習 コスト 固有性・技術限界 Technical Limits 10代 20代 30代 40代 50代 60代 *From the SIP survey section of the Cabinet Office Acceptance score by factor: A composite score created from multiple questions that make up each factor. All Rights Reserved, Copyright © 2021, DLRI, Inc. 7
Distribution of Acceptance Scores by Factors(City Scale) ◆ Larger cities have more receptive factors. ◆ There is a possibility that age is more effective than the size of the city in terms of acceptance of uniqueness and technological limits. (Point) 17 16 15 14 13 12 11 10 Lifestyle Uniqueness / 生活変化 学習 Learning コスト Cost 固有性・技術限界 change technical limits 東京都区部、政令指定都市 人口30万人以上の都市 ■Tokyo wards, government-designated 人口10~30万人未満の都市 人口10万人未満の市 cities ■Cities with a population of 300,000 or more 町、村 ■Cities with a population of 100,000 or more and less than 300,000 ■Cities with a population of less than 100,000 ■Towns and villages All Rights Reserved, Copyright © 2021, DLRI, Inc. 8
Distribution of Acceptance Scores by Factors(Mobility Issue Score) ◆ For those who have low Mobility Issue Score, there are many factors with the highest acceptance score. ◆ Differentiated into a layer that accepts as a social flow (small issue) and a layer that accepts from necessity (large issue). (Point) 17 15.90 16 15.56 15.45 15.60 14.92 14.90 15 14 13.63 13.51 13.23 13.26 12.94 13.15 13 12 11 10 Lifestyle Uniqueness / 生活変化 学習 Learning コスト Cost 固有性・技術限界 technical limits change ■Low ■Middle ■High 課題小 課題中 課題大 モビリティ課題得Point:「日常生活を送る上で自家用車が不可欠である」「バスや鉄道などの公共の交通機関が少ない」 Mobility score: The mobility score is obtained by reversing and combining the results for the six questions “You cannot live your daily life without a 「バス停や駅までの道のりが遠い」「普段、自家用車で家族の送迎をする・してもらうことが多い」 private car,” “You do not have a lot of means of transportation, such as buses and trains,” “You live far from bus stops or stations,” “You often drop and pick up your family 「最寄の交通機関までの道がよくない(道が狭い、整備されていない、暗いなど)」 members or have your family members drop and pick you up by private car,” “You do not have a good access to the nearest transportation service「山道や雪道など、道路や交通機関の利用に制約が生じることが多い」の6項目について回答結果を反転し合算 (e.g. narrow road, unpaved road, dark road),” and “There are restrictions on the use of means of transportation i.e. mountain (cronbach α係数=0.859) roads and snowy roads” (Cronbach’s Coefficient Alpha = 0.860). All Rights Reserved, Copyright © 2021, DLRI, Inc. 9
Life Change Acceptance Score (City Scale × Mobility Issue Score) ◆ Looking at the size of mobility issues by city size, it is highly acceptable to people with small mobility issues, especially in cities with a population of 100,000 or more. ◆ People who live in towns and villages and have small mobility issues are less receptive. (Point) 17 15.75 15.60 16 15.46 14.98 15.04 14.9815.03 14.9614.81 14.92 14.80 14.88 15 14.5114.80 13.75 14 13 12 11 10 課 課 課 課 課 課 課 課 課 課 課 課 課 課 課 Middle Middle Middle Middle Middle High High High High High Low Low Low Low Low 題 題 題 題 題 題 題 題 題 題 題 題 題 題 題 小 中 大 小 中 大 小 中 大 小 中 大 小 中 大 Tokyo wards, Cities with a Cities with a 東京都区部、 government- 人口30万人 population of 人口10~30万人 population of 人口10万人 Cities with a population of less 町、村 Towns and 100,000 or more and villages 政令指定都市 designated cities 以上の都市 300,000 or more 未満の都市 less than 300,000 未満の市 than 100,000 All Rights Reserved, Copyright © 2021, DLRI, Inc. 10
Learning Acceptance Score (City Scale × Mobility Issue Score) ◆ Looking at the size of mobility issues by city size, it is highly acceptable to people with small mobility issues, especially in cities with a population of 100,000 or more. ◆ People who live in towns and villages and have small mobility issues are less receptive. 17 (Point) 16.13 15.93 15.63 15.72 15.63 15.65 16 15.52 15.54 15.45 15.4515.56 15.33 15.38 15.21 15 14.00 14 13 12 11 10 課 課 課 課 課 課 課 課 課 課 課 課 課 課 課 Middle Middle Middle Middle Middle High High High High High Low Low Low Low Low 題 題 題 題 題 題 題 題 題 題 題 題 題 題 題 小 中 大 小 中 大 小 中 大 小 中 大 小 中 大 Cities with a 東京都区部、 Tokyo wards, 人口30万人 Cities with a 人口10~30万人 population of 人口10万人 Cities with a 町、村 Towns and 政令指定都市 government- designated cities 以上の都市 population of 300,000 or more 未満の都市 100,000 or more and less than 未満の市 population of less villages than 100,000 300,000 All Rights Reserved, Copyright © 2021, DLRI, Inc. 11
Cost Acceptance Score (City Scale × Mobility Issue Score) ◆ Greater mobility challenges are more cost-acceptable in many areas. ◆ People who live in towns and villages and have small mobility issues are less receptive (as usual). (Point)17 16 15 14 13.40 13.66 13.39 13.32 13.01 13.02 13.11 13.0612.99 13.01 12.94 12.90 12.77 13 12.23 11.99 12 11 10 課 課 課 課 課 課 課 課 課 課 課 課 課 課 課 Middle Middle Middle Middle Middle High High High High High Low Low Low Low Low 題 題 題 題 題 題 題 題 題 題 題 題 題 題 題 小 中 大 小 中 大 小 中 大 小 中 大 小 中 大 Cities with a 東京都区部、 Tokyo wards, 人口30万人 Cities with a 人口10~30万人 population of 人口10万人 Cities with a 町、村 Towns and government- population of 100,000 or more and population of less 政令指定都市 designated cities 以上の都市 300,000 or more 未満の都市 less than 300,000 未満の市 than 100,000 villages All Rights Reserved, Copyright © 2021, DLRI, Inc. 12
Acceptance Score of Uniqueness and Technological Limits (City Scale × Mobility Issue Score) ◆ Large mobility issues are highly receptive to uniqueness and technological limits in many areas. ◆ People who live in towns and villages and have small mobility issues are less receptive (as usual). (Point) 17 16 15 14.02 13.78 13.69 14 13.62 13.43 13.41 13.3713.60 13.56 13.28 13.24 13.26 13.20 12.74 13 12.12 12 11 10 Middle Middle Middle Middle Middle 課 課 課 課 課 課 課 課 課 課 課 課 課 課 課 High High High High High Low Low Low Low Low 題 題 題 題 題 題 題 題 題 題 題 題 題 題 題 小 中 大 小 中 大 小 中 大 小 中 大 小 中 大 東京都区部、 人口30万人 人口10~30万人 人口10万人 町、村 Cities with a Cities with a Tokyo wards, Cities with a population of Towns and government- population of population of less 政令指定都市 以上の都市 未満の都市 未満の市 100,000 or more and villages designated cities 300,000 or more less than 300,000 than 100,000 All Rights Reserved, Copyright © 2021, DLRI, Inc. 13
Changes in Acceptance Scores by Factor (2020 ⇒ 2021) ◆ Acceptance score of "life changes," "learning," and "uniqueness / technical limits" increased in one year. ◆ Acceptance for costs is flat (slightly reduced). (Point) 16 15.64 15.16 15.11 15 14.80 14 13.47 13.28 13 13.13 13.11 12 11 生活変化 ●Lifestyle Change 学習 ●Learning コスト ●Uniqueness ●Cost 固有性・技術限界 / technical limits 10 2020年 2020 2021年 2021 All Rights Reserved, Copyright © 2021, DLRI, Inc. 14
Changes in Acceptance Scores by Factor (Gender) ◆ Gender trends are almost the same as overall trends. ◆ The stricter acceptance of costs may be due to the economic situation caused by Covid-19. (Point) 17 16 15 14 13 12 11 生活変化 ●Lifestyle Change 学習 ●Learning ●Costコスト 固有性・技術限界 ●Uniqueness / technical limits 10 男 男 女 女 Female (2020) Female (2021) Male (2020) Male (2021) 性 性 性 性 (2020 ) (2021 ) (2020 ) (2021 ) 年 年 年 年 All Rights Reserved, Copyright © 2021, DLRI, Inc. 15
Changes in Acceptance Scores by Factor (Age) ◆ "Life change" and "learning" are on the rise in all age groups. ◆ "Uniqueness / technical limits" decreased only in the 60s. (Point) 17 16 15 14 13 12 11 生活変化 ●Lifestyle Change 学習 ●Learning ●Cost コスト ●Uniqueness固有性・技術限界 / technical limits 10 10 (2020 ) 10 (2021 ) 20 (2020 ) 20 (2021 ) 30 (2020 ) 30 (2021 ) 40 (2020 ) 40 (2021 ) 50 (2020 ) 50 (2021 ) 60 (2020 ) 60 (2021 ) 20s (2021) 20s (2020) 30s (2020) 30s (2021) 40s (2020) 40s (2021) 60s (2020) 60s (2021) 10s (2020) 10s (2021) 50s (2020) 50s (2021) 代 代 代 代 代 代 代 代 代 代 代 代 年 年 年 年 年 年 年 年 年 年 年 年 All Rights Reserved, Copyright © 2021, DLRI, Inc. 16
Changes in Acceptance Scores by Factor (Mobility Issue Score) ◆ Increased acceptability in areas with small mobility challenges. ◆ All acceptance factors other than "learning” are down in areas where mobility issues are large. (Point) 17 16 15 14 13 12 生活変化 学習 コスト 固有性・ ●Lifestyle Change ●Learning ●Cost ●Uniqueness / Technical Limits 11 技術限界 10 課 課 課 課 課 課 題 題 題 題 題 題 Middle (2020) Middle (2021) High (2020) High (2021) Low (2020) Low (2021) 小 小 中 中 大 大 (2020 (2021 (2020 (2021 (2020 (2021 ) 年 年 年 年 年 年 ) ) ) ) ) All Rights Reserved, Copyright © 2021, DLRI, Inc. 17
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Movement Restrictions and Lifestyle Changes Due to Covid-19 ◆ The tendency to refrain from moving due to Covid-19 is stronger in larger urban areas. 0 20 40 60 80 100 (%) 全体 Overall 20.9 62.4 11.5 5.2 Tokyo wards, government- 東京都区部、政令指定都市 23.0 62.7 9.5 4.8 designated cities Cities with a population of 300,000 人口30万人以上の都市 or more 22.2 61.2 11.7 4.9 Cities with a population of 100,000 人口10~30万人未満の都市 18.7 64.5 12.1 4.7 or more and less than 300,000 Cities with a人口10万人未満の市 population of less 19.0 61.8 13.3 6.0 than 100,000 Towns and villages 町、村 20.7 58.1 13.9 7.2 ■Very restricted and ■Decently 非常に制限された・自粛した それなりに制限された restricted and ■Not あまり制限されなかった restricted and ■Not 全く制限されなかった restricted and refrained refrained refrained so much refrained ・自粛した ・自粛しなかった ・自粛しなかった All Rights Reserved, Copyright © 2021, DLRI, Inc. 19
Changes in Transportation Usage Due to Covid-19 ◆ In particular, the use of public transportation such as "railroad", "bus" and "taxi" is decreasing. ◆ "Private cars" and "bicycles" increased more than decreased. (%) これまで利用しており、 The usage opportunity has 新型コロナで利用が n 増えた not increased 変わらない 減った changed decreased Private car 15424 13.8 76.8 9.4 自家用車 (自分で運転する場合・運転しない場合を含む) (including when you drive yourself and when you don't) カーシェアリング、レンタカー Car sharing, Car rental 4977 6.4 71.9 21.7 鉄道(地下鉄等を含む) Trains (including subway and others) 14779 2.7 51.4 45.9 バス(コミュニティバスを含む) Buses (including “Community Buses”) 11868 3.3 55.3 41.4 Reservation required buses and taxis (予約制の)デマンドバス、デマンド型乗り合いタクシー 3427 4.7 70.2 25.1 (riding together) タクシー Taxis 9111 4.8 60.7 34.5 自転車(非電動型) Bike (not electric) 9603 15.4 71.4 13.1 電動アシスト付き自転車 Bike with electric assist machine 4010 14.9 71.9 13.2 バイク、原動機付き自転車(原付) Motorbike, scooter 3742 9.2 75.1 15.7 n = the number excluding "not originally used" All Rights Reserved, Copyright © 2021, DLRI, Inc. 20
Specific Movement Restrictions in Everyday Life ◆ Specific movement restrictions due to movement restrictions by Covid- 19 had a great impact on the connection between people and QoL. 60 (%) 49.9 45.7 44.2 40 35.1 33.9 32.5 32.1 23.7 18.0 20 16.2 11.9 11.8 6.5 5.2 5.3 1.0 0 I can’t go out to eat out or go to a 外 旅 友 離 趣 イ ス 宅 職 店 実 出 仕 健 恋 そ ど I have less work / I have no more I wanted to buy it after seeing it, Opportunities for home delivery 食 行 だ れ 味 ベ ト 配 場 に 際 会 事 康 人 の れ や の ち て の ン レ や や 行 に い が が や 他 も The stress has been building. I can't do hobby activities or Events have been cancelled. 飲 予 や 暮 活 ト ス ネ 学 く 見 の 減 損 パ あ Travel schedules have been が I can't go to work or school. I can't meet my friends and み 定 仲 ら 動 ( が ッ 校 こ て 機 っ な ー て canceled / I stopped going. but I couldn't go shopping. キ I can't meet my family and 会 が 間 す や コ た ト に と か 会 た わ ト は に キ に 社 ャ ま 行 が ら が ・ れ ナ ま 家 ン シ relatives who live apart. ン I can't meet my lover or and net shopping have 行 ャ 会 族 会 サ っ ョ く で 買 な 仕 た ー ら セ Does not apply to any く ン え ・ 活 ー た ッ こ き い く 事 に な セ な 動 ル と な た な が 会 い こ 親 に ト ピ No chance to meet Became unhealthy と ル く 族 が 、 ン が く い っ な え に な で な で な の た く な が に っ ス グ social activities で な っ 会 き ポ の き っ に な く た drinking party. き っ た え な ー 利 な た 、 っ な た く ・ く た っ な な 行 ツ 用 く ・ く な 観 が な た く increased. な 行 な っ 戦 増 っ く た の た っ っ を 、 え partner. friends. た の た パ た Others や を ー work. や め た テ め ィ た な ど ) All Rights Reserved, Copyright © 2021, DLRI, Inc. 21
Avoiding the Spread of Covid-19 Infection and the Possibility of Cars ◆ Value as a "private room" and "whereabouts" of a car re-recognized in the Covid-19 situation. ◆ "Non-contact" with others = Increased incentive for "ownership"? (%) 80 72.4 60 40 34.9 33.1 28.9 20 15.3 13.2 5.3 3.6 0.2 0 used to reduce the chance It can be used for working 感 気 ド ( 一 ( ( ( そ ど It can be used as a study You can move with a low It can be used as a place where you can be alone. 染 晴 ラ 移 人 移 移 移 の れ 人 of contact with people. の ら イ 動 に 動 飲 動 動 勉 他 も Does not apply to any Drive-through can be と Use a car as a space 移 リ し ブ し な し 食 し 在 し 強 あ の You can drive for a 動 ス と ス て れ て の て 宅 て 部 て が ク し 接 ル い る い い 勤 い は 場 屋 risk of infection. to eat and drink. で が き て 触 ー な 空 な な 務 な ま を と と き 低 る の を い 間 い し い に い し ら 減 from home. distraction. る い ド 使 時 と 時 て 時 使 時 て な 状 ラ ら う 間 し 間 間 え 間 い せ 使 使 態 イ こ を て を え を る を え Others で ブ る と 含 使 含 含 含 る る room が で む え む む む で ) る ) ) ) All Rights Reserved, Copyright © 2021, DLRI, Inc. 22
Mobility Awareness in Everyday Life (Online vs. Real) ◆ Even if DX advances, there is a high need for real and face-to-face meetings. ◆ It is expected that the significance of moving avoiding accidents and infections will continue to be high. 0 20 40 60 80 100 (%) 実際の店舗に行かなくても、 You don't have to go to Even if you can live by home 宅配やネットショッピングで生活 the actual store to shop by delivery or online shopping, 宅配やネットショッピングでの 10.3 34.8 37.9 17.0 できるとしても、自分で買い物に you want to go shopping by home delivery or online 買い物でよい shopping. myself. 行きたい テレビ電話などで人との テレビ電話などで対面コミュニケ You can get enough face-to- Even if you can communicate 対面コミュニケーションの機会は face communication with 7.6 31.1 42.5 18.9 viaーションできるとしても、 videophone, you want to people by videophone. meet people directly. 十分とれると思う 直接人に会いたい リモート会議やテレビ電話で Work communication is Even if you can communicate リモート会議やテレビ電話で仕事上 at work via remote meetings or 仕事上のコミュニケーションは sufficient through remote 11.8 38.8 37.8 11.7 のコミュニケーションができるとし videophones, you would like to meetings and videophones. 十分できると思う ても、直接会って仕事上のやりとり meet in person and exchange work. をしたい Aに近い ■ Close to A ■ややAに近い slightly close to ややBに近い Bに近い A ■ slightly close to B ■ Close to B All Rights Reserved, Copyright © 2021, DLRI, Inc. 23
Mobility Satisfaction in Everyday Life (Overall and Age) ◆ Women are more anxious about the Covid-19 situation than men. (according to other survey results) ◆ Among young people such as teens and 20s, it is possible that the satisfaction level of movement was very low, especially as a result of restrictions on movement by women. (Point) 7.00 6.50 6.00 5.50 5.00 4.50 4.00 3.50 3.00 合計 Overall 10代 10s 20代 20s 30代 30s 40代 40s 50代 50s 60代 60s 全体 ■Male ■Overall 男性 女性 ■Female All Rights Reserved, Copyright © 2021, DLRI, Inc. 24
Mobility Satisfaction in Everyday Life (With or Without a Driver’s License) ◆ People who have had driver’s license before have lower travel satisfaction than those who do not have it. ◆ Considering that returning a driver's license will greatly reduce the freedom of movement, this may be a major barrier to returning a driver's license for elderlies. (Point) 7.00 6.50 6.00 5.50 5.00 4.50 4.00 3.50 3.00 have a現driver’s used to以have 持have don’t 在 a driver’s前license, っ license now 持 持 driver’s てlicense っ but持not っnow い て っ て な ■Overall て ■Male ■Female い い い い © 2021, DLRI, Inc. All Rights Reserved, Copyright 25
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2.Collecting and understanding information about the target ● We are making steady progress in collecting and understanding domestic information about objects (society, regions, people) that are expected to foster social acceptability by following. - 3 times of quantitative researches - “Citizen dialogue” - “World Cafe” etc. ●The largest number of samples and the number of questions have been secured this time. All Rights Reserved, Copyright © 2021, DLRI, Inc.
3.Selection / editing / processing of transmitted information 4.Information dissemination means / media / place ● The investigator reported the quantitative and qualitative data at the official report of the Cabinet Office SIP. Through lecture activities all over the country and contribution activities, information is disseminated after processing the survey results according to the attributes and characteristics of the listeners and readers. ●We responded with the perspective of Society 5.0 and the perspective of regional sustainability and SDGs to the mobility situation and issues in each region and the latest efforts in the local lectures. ●These summaries are published in most local newspapers. It will create opportunities to understand the government‘s efforts and consider them as issues in each region. All Rights Reserved, Copyright © 2021, DLRI, Inc.
8.Understanding in consumers 9.Consumption / use behavior 10.Social acceptance in consumers ●about understanding:Overall decrease compared to a year ago (from the survey by METI and MLIT) ●about use behaviour:The utilization rate of automobiles with driving support functions is increasing, but the awareness of using and installing those functions is not yet high. ●about social acceptance:The overall acceptance score for automated driving by owner car, service car, and large logistics car is flat. Acceptance of "life change," "learning," "cost," and "uniqueness / technical limits" increased except for "cost." All Rights Reserved, Copyright © 2021, DLRI, Inc.
We are considering clarifying specific evaluation methods and goals for fostering acceptability in the next fiscal year. All Rights Reserved, Copyright © 2021, DLRI, Inc.
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Which behavioral attributes and regional characteristics are likely to drive receptivity development? - Area with a large population - People with high regional identity - Younger generation, especially women - People who are not so troubled with mobility now Elderly people living in rural areas who have mobility problems may not necessarily be the ones who can drive the development of social acceptability. Automated Driving ≠ Transportation for the elderly All Rights Reserved, Copyright © 2021, DLRI, Inc. 33
Which factors influence each acceptance score? The ”Uniqueness and Technical Limit" factors have the greatest effect on acceptance score of all types of automated driving technology. Promote understanding of what can / cannot be done with current technology. The perspective and soil of "aiming to maximize the utility of technology while improving technology in society" are important. (Consumers / businesses / administration) All Rights Reserved, Copyright © 2021, DLRI, Inc. 34
Findings from consumer survey results Due to various restrictions by COVID-19 Social mobility needs, significance of mobility, and value recognition are increasing Focusing on the layer that is easy to improve receptivity (such as young people and women) Creating “personalization” and “co-creation consciousness” of the automated driving society is needed Not only about ”advantage of automated driving”, But also understanding of automated driving characteristics and technical limits should be announced. Automated driving technology ⇒ Manufacturers, engineers, researchers Development of laws and rules for running automated driving ⇒ National and local governments Realization of an automated driving society ⇒ Consumers ⇒ Change the perspective of "creating together" from the perspective of "accepting" consumers All Rights Reserved, Copyright © 2021, DLRI, Inc.
Division of roles for acceptance and co-creation of automated driving society Participating in society from the perspective of Consumer Academia nurturing technology Local resident Various research and systems institutes Deepening specialized research and knowledge in each area Place for co-creation - Demonstration experiment - World Cafe - Citizen dialog - Symposium - Committee Administration Business Infrastructure and Municipality institutional development group Technology development and Laws and rules service operation for driving Creation of automated driving automated driving technology and services All Rights Reserved, Copyright © 2021, DLRI, Inc. 36
YUKIKO MIYAKI General Manager & Executive Researcher Life Design Research Dept. DAI-ICHI LIFE RESEARCH INSTITUTE INC. 1-13-1 Yurakucho, Chiyoda-ku, Tokyo, 100-0006, Japan miyaki@dlri.jp All Rights Reserved, Copyright © 2021, DLRI, Inc. 37
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