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2022 | OriginalPaper | Buchkapitel

4. Urban Mobility Revolution: A Quantitative Analysis

verfasst von : Martin Lempp, Patrick Siegfried

Erschienen in: Automotive Disruption and the Urban Mobility Revolution

Verlag: Springer International Publishing

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Abstract

The quantitative part of the publication highlights current customer demand patterns and shows—based on a targeted survey of potential customers and their future usage behavior—how these might look in 2030. The aim of the survey is to find out how society views the new developments in the automotive industry and what conclusions market participants should draw from this. Will the spread of autonomous driving be delayed due to reservations about safety, higher purchase prices, or data protection concerns? Which purchase criteria will gain importance in the future? Which customer segments determine the pace of market penetration? Will Mobility-as-a-Service models prevail? How could the disposable time during the use of an autonomous vehicle be used and where can OEMs but also companies from outside the industry start to generate recurring revenues? Based on the results of the survey, the potential future market volume of various forms of mobility is derived for different penetration scenarios and the implications for the existing value creation and revenue models are examined.

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Fußnoten
1
cf. PwC; NTT Data Deutschland (2013) Automotive Retail S.21–22.
 
2
cf. IBM Institute for Business Value (2016) A new relationship - people and cars S.7–9.
 
3
cf. Anderson, James et al. (2016) Autonomous Vehicle Technology S.16–18.
 
4
cf. Deloitte (2016) Autonomes Fahren in Deutschland S.9–12.
 
5
cf. Herrmann, Andreas; Brenner, Walter; Stadler, Rupert (2018) Autonomous Driving S.121.
 
6
cf. Skilton, Mark (2016) Building Digital Ecosystem Architectures S.62.
 
7
cf. KPMG I (2018) Autonomous Vehicle Readiness Index S.49.
 
8
cf. BearingPoint II (2017) Mensch & Maschine im Kundenservice.
 
9
cf. McKinsey & Company I (2015) Ten ways autonomous driving could redefine the automotive world S.3.
 
10
cf. IBM Institute for Business Value (2016) A new relationship - people and cars S.7.
 
11
cf. McKinsey & Company I (2015) Ten ways autonomous driving could redefine the automotive world S.3.
 
12
cf. Humboldt-Universität zu Berlin (2016) User Perspectives on Autonomous Driving S.45ff.
 
13
cf. Deloitte III (2017) What’s ahead for fully autonomous driving S.3–7.
 
14
cf. EY II (2016) How much human do we need in a car?.
 
15
cf. The Boston Consulting Group; World Economic Forum (2016) Self-driving vehicles, robot-taxis, and the urban mobility revolution S.8–9.
 
16
cf. McKinsey & Company III (2015) Wettlauf um den vernetzten Kunden S.19–21.
 
17
cf. Kreutzer, Ralf; Neugebauer, Tim; Pattloch, Annette (2017) Digital Business Leadership S.127.
 
18
cf. Blanke, Tobias (2014) Digital Asset Ecosystems S.21.
 
19
cf. Capgemini (2016) Studie IT-Trends 2016 S.18–19.
 
20
cf. McKinsey & Company III (2016) Monetizing car data S.14–16.
 
21
cf. Roland Berger; fka Forschungsgesellschaft (2016) Index “Automatisierte Fahrzeuge“S.12–18.
 
22
cf. PwC; NTT Data Deutschland (2013) Automotive Retail S.21–22.
 
23
cf. McKinsey & Company (2014) Connected car, automotive value chain unbound S.13–14.
 
24
cf. Gutzmer, Alexander (2018) Marken in der Smart City.
 
25
cf. Qusay, Hassan; Khan, Atta; Madani, Sajjad (2018) Internet of Things S.35ff.
 
26
cf. McKinsey & Company II (2016) Car data: paving the way to value-creating mobility S.7.
 
27
cf. Skilton, Mark (2016) Building Digital Ecosystem Architectures S.51–53.
 
28
cf. KPMG II (2017) Global Automotive Executive Survey 2017 S.37–39.
 
29
cf. Roland Berger (2011) Automotive landscape 2025 S.41.
 
30
cf. Siegfried, Patrick (2020) Marketing- und Vertriebskonzepte von erfolgreichen Unternehmen S. 77ff.
 
31
cf. McKinsey & Company III (2015) Wettlauf um den vernetzten Kunden S.19–24.
 
32
cf. McKinsey & Company II (2016) Car data: paving the way to value-creating mobility S.7.
 
33
cf. McKinsey & Company; Bloomberg (2016): An integrated perspective on the future of mobility S.24–26.
 
34
cf. Institute for Mobility Research (2018) Autonomous Driving - The Impact of Vehicle Automation on Mobility Behaviour S.20.
 
35
cf. McKinsey & Company II (2016) Car data: paving the way to value-creating mobility S.7–9.
 
36
cf. PwC - Strategy& (2016) Connected car report 2016 S.20ff.
 
37
cf. PwC; NTT Data Deutschland (2013) Automotive Retail S.21–23.
 
38
cf. PwC (2018) Five trends transforming the Automotive Industry S.9–12.
 
39
cf. The Boston Consulting Group; World Economic Forum (2016) Self-driving vehicles, robot-taxis, and the urban mobility revolution S.7–11.
 
40
cf. Deloitte II (2017) The race to autonomous driving S.7–11.
 
41
cf. L.E.K. (2017) Mapping the Road to Autonomous Vehicles S.5.
 
42
cf. KPMG II (2017) Global Automotive Executive Survey 2017 S.18.
 
43
cf. McKinsey & Company II (2015) Urban mobility at a tipping point S.15.
 
44
cf. Deloitte III (2017) What’s ahead for fully autonomous driving S.4–10.
 
45
cf. Diehlmann, Jens; Häcker, Dr. Joachim (2013) Automotive Management S.10.
 
46
cf. Humboldt-Universität zu Berlin (2016) User Perspectives on Autonomous Driving S.30ff.
 
47
cf. National Highway Traffic Safety Administration (N.A.) Automated Vehicles for Safety.
 
48
cf. L.E.K. (2017) Mapping the Road to Autonomous Vehicles S.1.
 
49
cf. OECD/International Transport Forum (2015) Automated and Autonomous Driving S.14.
 
50
PA Consulting (2017) Autonomous Driving S.5.
 
51
cf. A.T: Kearney (2016) S.10.
 
52
cf. Bundesverband Digitale Wirtschaft (2016) Connected Cars – Geschäftsmodelle S.8–10.
 
53
cf. Horváth & Partners; Fraunhofer (2016) The Value of Time S.20–28.
 
54
cf. Accenture (2015) Autonomous driving - are OEMs losing the driver seat? S.5–7.
 
55
cf. Gerdes, Christian; Maurer, Markus (2015) Autonomous Driving S.9.
 
56
cf. Horváth & Partners; Fraunhofer (2016) The Value of Time S.20ff.
 
57
cf. Bain & Company (2017) An Autonomous Car Roadmap for Suppliers.
 
58
cf. IBM Institute for Business Value (2016) A new relationship - people and cars S.15ff.
 
59
cf. Hülsmann, Michael; Fornahl, Dirk (2014) Evolutionary Paths towards the Mobility Patterns of the Future S.38–40.
 
60
cf. Horváth & Partners; Fraunhofer (2016) The Value of Time S.24–26.
 
61
cf. KPMG I (2018) Autonomous Vehicle Readiness Index S.24.
 
62
cf. McKinsey & Company III (2016) Monetizing car data S.25–28.
 
63
cf. Diez, Willi (2018) Wohin steuert die deutsche Automobilindustrie? S.104–106.
 
64
cf. Meyer, Gereon; Shaheen, Susan (2017) Disrupting Mobility S.149.
 
65
cf. Winkelhake, Uwe (2017) Die digitale Transformation der Automobilindustrie S.299–300.
 
66
cf. Seipp, Vanessa; Michel, Alex; Siegfried, Patrick (2020) Review of International Supply Chain Risk Within Banking Regulations in Asia, US and EU Including Proposals to Improve Cost Efficiency by Meeting Regulatory Compliance S.25ff.
 
67
cf. National Highway Traffic Safety Administration (N.A.) Automated Vehicles for Safety.
 
68
cf. PwC - Strategy& (2017) The 2017 Strategy& Digital Auto Report S.14.
 
69
cf. PwC - Strategy& (2017) The 2017 Strategy& Digital Auto Report S.18–20.
 
70
cf. Roland Berger (2011) Automotive landscape 2025 S.28–30.
 
71
cf. Hülsmann, Michael; Fornahl, Dirk (2014) Evolutionary Paths towards the Mobility Patterns of the Future S.38–40.
 
72
cf. Oliver Wyman (2017) The Oliver Wyman Automotive Manager S.33.
 
73
cf. Chen, Yaobin; Li, Lingxi (2014) Advances in Intelligent Vehicles S.60–68.
 
74
cf. Goodyear; London School of Economics II (2015) Millennial’s views on the future of mobility in Europe S.12.
 
75
cf. Roland Berger; fka Forschungsgesellschaft (2016) Index “Automatisierte Fahrzeuge” S.18–30.
 
76
cf. PwC - Strategy& (2016) Connected car report 2016 S.17–20.
 
77
cf. PwC (2018) Five trends transforming the Automotive Industry S.33–36.
 
78
cf. Helmond, Marc; Terry, Brian (2016) Lieferantenmanagement 2030 S.40ff.
 
79
cf. McKinsey & Company II (2016) Car data: paving the way to value-creating mobility S.12.
 
80
cf. McKinsey & Company (2014) Connected car, automotive value chain unbound S.20–23.
 
81
cf. Karls, Ingolf; Mueck, Markus (2018) Networking Vehicles to Everything S.112ff.
 
82
cf. Kosch, Timo et al. (N.A.) Automotive Internetworking.
 
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Metadaten
Titel
Urban Mobility Revolution: A Quantitative Analysis
verfasst von
Martin Lempp
Patrick Siegfried
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-90036-6_4

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