Rich Mobility Dataset – What Next?



Rich Mobility Dataset – What Next?

Authors

Peter Endemann, Regionalverband FrankfurtRheinMain

Description

The paper aims at visualising relevant mobility patterns in the Region Frankfurt/Rhine Main pertinent to face planning problems.

Abstract

Regions and cities in the Frankfurt/Rhine-Main region face plenty of major challenges in the future since population is not growing everywhere and changes in the region’s spatial structure are expected. Together with a different economic framework, more variable work and retail time hours they have mutual effects with urban and regional development and need to be taken into consideration by planners when developing new concepts. The knowledge of mobility and travel patterns of the population is an indispensable ingredient in a planning process. Behavioural data are often collected partly and by using different methodologies, limited to specific purposes and areas and are limited to specific target groups such as passengers on-board interviews. Nevertheless, regional and land-use planning at the inter-municipal level and the planning of (public) transport infrastructure and supply pursue common goals. Uncertainty of demand structure and tremendous pressure because of fairly tight public budgets make clear that possible demand potentials have to be identified in order to increase the utilization of existing infrastructures in particular which in turn is inherently linked with the organisation of land uses. The German National Travel Survey (NTS) allows regional add-ons to the sample size and offers therefore a useful tool to collect relevant mobility data with several advantages such as lower cost level, comparability of results and information captured at the household level where a complete picture of all mobility patterns can be obtained.

Goal of the paper
The paper aims at visualising relevant mobility patterns in the Region Frankfurt/Rhine Main pertinent to face planning problems. It presents briefly the German NTS and its contents. It then presents the Frankfurt/Rhine-Main region as a reference case, followed by some basic mobility figures. It then focuses on planning issues and presents appropriate mobility data aiming at a better understanding and as a decision-making tool.

Method
The paper uses results from the regional add-ons to the German NTS Mobility in Germany (MiD) 2002 and 2008. is the German NTS which was carried out by the Federal Transport Ministry in order to provide substantial data on mobility, travel behaviour and mutual effects with spatial, socio-economic and socio-demographic characteristics. MiD is a mostly telephone cross-sectional household travel survey covering almost 26,000 households nationwide. The regional add-on benefits from a considerable amount of co-financed households. Besides the classical diary reporting it includes information on household income, access to usual destinations, usage habits of citizens, availability of public transport, used tickets, frequent business trips, access to services etc.

Outcome
Beside the provision of new rich data at a disaggregated level, the paper identifies that overall mobility in Frankfurt and the surroundings do not differ substantially and suburbia does not automatically mean high percentage of car use since people nearby rail stations and with available cars use considerably bicycles and public transport. The more mobile options people have the more flexible they are in their daily travel behaviour. An interesting group are car passengers with overall access to mobility options as a target group for decentralised car-sharing schemes. The results provide further some evidence on the potentials of planning concepts such as mixed-use planning with a focus on the retail provision at the neighbourhood level and rail-oriented development.

Added value
The paper outlines the usefulness of travel surveys for planning issues and visualises how to better address travel surveys considering their multi-purposes and multi-stakeholder potential.

Publisher

Association for European Transport