Title: Analysing the configuration of integrated multi-modal urban networks Author: Jorge Gil Affiliation: Department of Urbanism, Faculty of Architecture, Delft University of Technology Email: j.a.lopesgil@tudelft.nl Abstract: This article proposes urban network models as instruments to assess the sustainable mobility performance of urban areas, thanks to their capacity to describe the detail of the local environment in the context of a wider city-region. Drawing from the features of existing street network models that offer disaggregate, scalable and relational analysis of the spatial configuration of urban areas, it presents a multi-modal urban network model that describes the urban environment using three systems – private transport (car, bicycle and pedestrian), public transport and land use. This model can be used to analyse the proximity, density and accessibility characteristics of urban areas for the individual or integrated network modes and land use activities, using a range of distance types and other analysis parameters. An implementation of the multi-modal urban network model is created for the Randstad city- region and is analysed to test its features and possibilities. In particular, the analysis of the configuration of the urban network according to different distance parameters, and the analysis of the integrated modes and land use, give indications to the successful use of integrated multi-modal urban networks to build a rich sustainable mobility profile of urban areas. Keywords: street networks, transportation networks, GIS, network configuration, open data 1. Introduction Urban areas and city-regions face serious sustainability problems linked to the current car- dependent patterns of mobility, affecting the environment and the socio-economic fabric of society. The mobility trend is for increased and longer trips mostly by private car with a wide range of negative impacts. To address these problems within a sustainable development framework, local, national and supra-national institutions present visions for future urban mobility. In what urban form and structure is concerned, the proposals are for a more integrated and ʻseamlessʼ multi-modal public transport system around quality neighbourhoods and vibrant city centres, with land use distribution matching the needs of population, business and institutions, shifting mobility to soft transportation modes such as walking and cycling and to public transport for long distance travel (Banister 2005). To plan for and monitor progress towards these goals there is a need to measure urban form characteristics of the local neighbourhoods and how these integrate in the wider city-region. Current practice of sustainable neighbourhood design evaluation is based on urban form indicators, focusing on a wide range of sustainability dimensions (Gil and Duarte 2013). These evaluation tools provide detailed sets of indicators relative to the local neighbourhood but offer a reduced number of indicators reflecting the immediate context not to mention the integration in the regional context. On the other hand, the more extensive urban form and travel studies focusing on regional effects or drawing from a large numbers of cases resort to aggregate statistics at the neighbourhood or city scales or simplified measurements and classifications (Stead and Marshall 2001). An urban form model, in order to describe in detail and measure the characteristics of local environments, must be sufficiently high resolution in spatial and structural terms, i.e. have a small, disaggregate scale, using significant urban elements (Cervero and Kockelman 1997). It should also possess a relational networked structure to integrate the local elements in the wider region (Frey 1999). Furthermore, it should do so in a multi-layered structure including the streets, the transit networks and the activities (Dupuy 2008). Finally, all these layers should be integrated to account for the synergies between the various components (Read 2009). In this respect, street network models offer a useful approach. Some of the current sustainable neighbourhood evaluation tools use urban form indicators based on street