No abstract

No abstract

In recent years, the city of Munich has become more crowded due to its strong job market and its popularity as a tourist destination, resulting in a shortage of affordable housing and a strained transport network. It became evident that the city of Munich could not solve these problems alone, and would need close cooperation with neighboring municipalities that considered the various stakeholders. In 2007, this resulted in the formation of the Metropolitan Region of Munich, home to nearly six million people from 27 counties and 6 large cities, and includes 158 participating institutions. In 2009, the TUM Accessibility Atlas was developed for this newly formed region after numerous discussions with a variety of regional stakeholders who described their needs in assessing land-use and transport measures. The major task of this tool was to meet these needs and support this diverse region find a common regional identity.Keywords Accessibility . Accessibility instruments . PSS . Governance . Decisionmaking . Accessibility planning The TUM Accessibility Atlas brings together various scientific measures of accessibility that have been developed over time and applies them to relevant issues in the field of integrated land use and transport planning. The primary usability issue addressed by this tool is the need for more trust and a shared language between stakeholders. The main planning issue is determining how the region can improve multimodal accessibility, becoming more environmentally sustainable while also identifying spatial and socioeconomic disparities to address. Given these purposes, the TUM Accessibility Atlas was set up as a GIS toolbox, capable of producing maps for specific case studies and their thematic issues. The two major datasets are a multi-modal transport network and the structural land-use layers. The public transport network is based on a VISUM transport model imported into a GIS based accessibility instrument. Initially, the street network was initially provided by the Bavarian State Office for Statistics and Data Processing, but later substituted by OpenStreetMap (OSM), due to the flexibility of the open source data and the greater detail available for non-motorized transport modes. The structural component was provided by numerous sources (e.g. gaining suitable data by web survey) which included geo-referenced data on activities and their respective densities. These datasets have been constantly updated and upgraded in line with the current issues of different areas. Over the course of various research projects, new scales and suitable add-on tools have been added. To help visualize spatial and socioeconomic disparities, the TUM Accessibility Atlas has explored the relative accessibility of the region by public vs private transport, mismatches between the population density and public transport service quality, and the vulnerability of the region to future increases in mobility costs. Different methods and scales have been integrated: from micro-scale accessibility within neighborhood...

No abstract

No abstract