Modality Environments: Measuring the multi-modal accessibility of urban areas

MODALITY ENVIRONMENTS�

Measuring urbanity: Densities, networks and urban fabrics�

Measuring the multi-modal accessibility of urban areas �

Jorge Gil�

TU Delft / Faculty of Architecture�Chair of Spatial Planning and Strategy �

CIAUD Research Center on Architecture, Urbanism and Design�Technical University of Lisbon - Faculty of Architecture�

11/05/2012�

Modality Environments�Jorge Gil�

Measuring Urbanity Seminar�11/05/2012�

E� Urban form and sustainable mobility�E� Multi-modal network model�E� Measuring multi-modal accessibility�E� Modality environments�E� Conclusions�

Urban form and sustainable mobility�



E� Reduce CO2 emissions�E� Reduce car use in urban areas�E� Increase walking and cycling�E� Increase share of public transport�E� Replace long distance travel by rail�E� Narrow the mobility divides�E� Reduce need to travel�



Calthorpe - Transit Oriented Development (TOD)�



Public Transport Accessibility Level (PTAL)�



Bertolini et al. – Mobility environments � �ABC location policy, Netherlands ��



Multi-modal network model�

Measuring multi-modal accessibility�



network proximity - distance to the nearest node per mode, or mean distance to nodes�



network density - quantity of nodes (count, length) per mode�



network reach - quantity of opportunities (count, area, mix) per mode�



network centrality - node centrality (closeness, betweenness) per mode, and for integrated model�



each mode has its own principles of use�

�� each mode is measured differently�

Data�



National Ways Dataset (NWB)�



OpenStreetMap - Highways�



OpenStreetMap – Railways/Bus�



Google maps and Local public transport network maps�

ø 32 mm



Base Registry of Addresses and Buildings (BAG)�



Mobility Survey of the Netherlands (MON)�

Modality environments�



short < 1.5km ; medium < 10km ; far > 10km�

Mobility patterns� de Pijp %� Houten %� Randstad best %�Walk� 34� 21� 48�Cycle� 23� 31� 49�Car� 25� 39� 14�Transit� 15� 6� 37�Car distance� 50� 64� 25�Transit distance� 39� 28� 72�Short walk� 77� 57� 100�Short cycle� 19� 39� 93�Short car� 1� 3� *�Short transit� 1.5� 0� 25�Medium cycle� 38� 44� 69�Medium car� 15� 43� *�Medium transit� 34� 4� 63�Far car� 54� 69� 18�Far transit� 38� 27� 80�



network density�



network proximity�



network reach�



network centrality – private modes�



network centrality – transit modes�

Conclusions�



Neighbourhoods are not sustainable in themselves, but people's actions and lives might or might not be sustainable.�



The concept of 'modality environment' offers a descriptive model of the urban environment where our action space is separated by modes of movement in the wider city-region.�

Using this model, we can measure the accessibility and reach of each mode in different urban areas.�



The integrated description of the urban 19A5=:9819?�.D�8:01>�-90�>/-71>��01G9593�'modality environments', may support our understanding of how neighbourhoods can offer the conditions for people to conduct more sustainable lifestyles locally and within the city-region.�

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Modality Environments: Measuring the multi-modal accessibility of urban areas

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