Perspectives for a Sustainable Mobility. Slide Presentation. Check Against Delivery Embargoed until 8:45 PM, 4 November 2010

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Check Against Delivery Embargoed until 8:45 PM, 4 November 2010 Perspectives for a Sustainable Mobility by Professor Dr.-Ing. Gerd-Axel Ahrens Technische Universität Dresden, Germany Session 5, Keynote Lectures: Future Technologies II: Mobility Our Common Future, Essen, November 4, 2010 Slide Presentation Our Common Future, Hannover/Essen, 2-6 November 2010 (www.ourcommonfuture.de)

Gerd-Axel Ahrens Perspectives for a Sustainable Mobility Technische Universität Dresden Friedrich List Faculty of Transport and Traffic Sciences

1. Introduction 2. The myth of increased mobility 3. Recent trends in motorisation, car use and multi modal behaviour 4. Integrated sustainable mobility planning the perspective to more sustainability? 5. Conclusion Seite: 3

World perspective 7 billion people of today might be more than 9 billion in 30-40 years By 2020 car sales in developing countries will increase by the factor 6 (Booze & Company 2009) By 2025 China will be the largest automobile market and pass the United States (Goldman Sachs 2006) By 2030 the number of cars in the world will double Since 1990 CO 2 -emissions of the transportation sector rose by almost 30 % in the EU (Eurostat 2010) Worldwide the transport sector causes about 13 % of all CO 2 -emissions, this amount will continue to increase until 2030 by 40 % (IEA 2009) Megacity Beijing: Almost 50 % of the air pollution is caused by traffic (z-punkt 2010) Seite: 4

Modal Split Los Angeles and Berlin Source: http://la.streetsblog.org/wp-content/uploads/2010/04/4_22_10_graph.jpg TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 5

Purpose of trips the serving function of traffic Trips are caused, when different activities have to take place at different locations. The location has to be changed to conduct the next activity. Activities of people are Living at home Work Shopping Education Recreation Activities of goods are to gain of raw materials Production Processing Storage Consumption Basic service functions Education Work Transportation Living at home Communication Shopping Recreation Seite: 6

Definition of daily mobility Mobility of people: Ability of activities away from home though motorised or non motorised trips. 1) Descriptors of daily mobility: 1. Trips per day 3-3,5 trips per day in Germany 2. Required time for daily trips 70 80 min per day in Germany 3. Trips length in km per day 1991 still 20 km, 2003 already 29 km per day (Mobility in activities, SrV) 1) Transport planning has the task to enable the participation of population and goods in individual activities or exchange of goods. The use of resources and negative effects have to be minimized. So we try to achieve as much as possible mobility with the least amount of traffic and effort. Seite: 7

Challenge of the future decoupling traffic growth from economical growth Seite: 8

The data base Examination area SrV 2008 Total sample: 115.525 people 74 towns and communes 36 initiators 4 coordinated town-and-urban hinterland surveys 5 co-operations between town and local transport association One survey in rural area Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 9

Development of motorisation in East German towns [cars per 1000 people] Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 10

Modal split development in East German towns Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 11

Modal split of 2008 of several German towns Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 12

Age dependent modal split in Berlin and smaller towns Car trip lengths Public transport lengths Car trip lengths Public transport lengths km per person and day Capital town Berlin km per person and day Low- and middleorder centre < 50,000 inhabitants age age Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 13

Development of daily trip lengths by modes in East German towns Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 14

Relative modal split shifts in East German towns (2003 = 100) 120% 115% Walking 115 % Fuß 115 % Public transport 115 % ÖPNV 115% Relative Change of modal split 110% 105% 100% 20033 = 100 95% 90% 85% Fahrrad Bicycle 78 78% % 80% Private motorised 100 MIV % 100% ÖPNV 96% Public transport 96 % Fahrrad 109% Bicycle 109 % Fuß 96 % Walking 96 % MIV 95% Private motorised 95 % 75% 1998 2003 2008 Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 15

Increasing number of seniors travels less Trips per person and day men women Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) age Seite: 16

Increasing number of households without a car > 1 car 1 car, 1 motorbike 1 car, 0 motorbike 0 car, 1 motorbike 0 car, 0 motorbike Households without a private car Motorisation (private cars/1000 inhab) Cars per household OZ > 500 EW, flat OZ < 500 EW, hilly Bicycle towns Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 17

Change of values: new mobility preferences Living in cities becomes increasingly attractive (reurbanisation) Car use gets more important than car ownership Better information and new life styles allow choice of cheapest, fastest or most comfortable way to travel (with smart phones to individualised mobility concepts) Seite: 18

Modal split and trip lengths 80% 70% 60% 50% 56% Wegelängenabhänger Modal Split im SrV-Städtepegel 2008 (Gesamtverkehr, nur Wege bis 100 km) 56% 62% 67% zu Fuss MIV Fahrrad ÖV Walking Private motorised Bicycle Public transport 40% 47% 30% 20% 10% % 21% 17% 6% 9% 20% 24% 3% 13% bis unter 3 km 3 bis unter 5 km 5 bis unter 7 km 7 bis unter 10 km 10 bis unter 100 km 28% 1% 10% 27%,3% 4% 29% Ratio of total trip number 43% 16% 13% 9% 19% n = 19.453 n = 7.164 n = 5.921 n = 4.249 n = 8.310 Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 19

Car possession main determinant of modal choice Source: TU DRESDEN/VIP: Survey Mobility in German towns SrV 2008 (www.tu-dresden.de/srv) Seite: 20

Multi modality is more intelligent Source: Hausdorf, 2009; Data: MOP 1995-2006 Seite: 21

Requirements, methods and measures are not new (1) Avoid unnecessary and ineffective trips (2) Shift trips where it makes sense to the most sustainable modes (3) Operate the remaining, necessary road traffic safe, with minimal emissions and space Seite: 22

Integrated Mobility Planning Anticipated systematic preparation and conduction of decision processes with the intention, to influence trips in a certain planning area according to goals and objectives through landuse measures, construction of facilities, police measures, operational management, price and information measures. (FGSV 1985) Generally as an interdisciplinary task orientated to the future. A continuous, iterative and transparent process. A process on different planning levels (federal, state, regional and local transport planning). An informal co-operative process, not regulated by laws. A process, mainly divided into 3 phases: problem analyses, development of measures, balancing and decision. Seite: 23

Integrated process of mobility planning LEGEND: decision or acceptance by policy maker exchange effects feed back loop Source: FGSV: Leitfaden für Verkehrsplanung, Köln, 2001 Seite: 24

Demand oriented planning versus influencing approaches Demand oriented planning Influencing planning

Aspects of integration in a holistic process of mobility planning Sector Integration: Transport planning Space and regional planning Environmental planning Social planning Economical development Horizontal Integration: neighbouring cities and districts Integrated Transportation Development Planning Modal Integration: Means of Transport Modes of Transport Holistic Mobility Understanding Integration of all mobility purposes, mobility times Vertical Integration: Higher and lower levels of planning (federal, state, region, community) Integration of People and Institutions: Integration of all institutions and people affected Holistic Concepts of Measures: Integration of different areas for optional measures Source: BECKMANN K., KREITZ M.; Definition einer integrierten Gesamtverkehrsplanung, Stadt Region Land, issue 67, pp. 22, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen 1999. Seite: 26

Range of integrated measures of mobility planning Seite: 27

CO 2 -reduction concept of the Swedish Transport Administration Reduced travelling with car reduction of growth compared to business as usual -40% = -20% compared to traffic today Potential to 2030 Urban planning for less car dependence -10% Improved public transport -5% Increased focus on cycling and walking -5% Car sharing -5% Teleworking and internet-shopping -3% Congestion charge, parking policy and fee -5% Lower speed limits -3% Fuel/CO 2 - tax -13% Total -40% Source: Johansson, H.: Transport and mobility in context of climate change mitigation. Presentation in the Swedish Transport Administration TRAFIKVERKET for the Scientific Advisory council of the German Federal Ministry of Transport, Building and Urban Development, Stockholm, 28.09.2010 Seite: 28

Conclusion barriers and challenges Lack of integrated co-operation and intermodality Transport systems and transport operators concentrate on their particular needs and avoid more linkage and networking Holistic concepts often fail due to a lack of co-operation of the operators and sectoral thinking within the administration Investment budgets are often defined narrow for new transport infrastructure with counterproductive traffic inducing effects. They have to be defined broader to achieve goals in an integrated way. Seite: 29

Conclusion chances in urban mobility Individualised Public Mobility Coalition Maximize Public Transport trains and buses Public bicycles and pedelecs Public (electric) cars Taxis Alternative services Car sharing Car pooling One accounting system Walking Cycling Minimize Individual private car use Seite: 30

Thank you for your attention! Prof. Dr. Gerd-Axel Ahrens TU Dresden Verkehrs- und Infrastrukturplanung 01062 Dresden Kontakt: Tel.: 0351 / 4633 29 75 gerd-axel.ahrens@tu-dresden.de www.tu-dresden.de/srv Seite: 31