This paper describes the Data Domotopia a 2300 + respondent self-administered web-based survey. It includes 100 + multi-purpose items about home-making and stillness in a moving world. We suppose that home-making can reveal coping strategies and resilience practices to make everyday life work – as home is a central location in people’s activity-travel patterns. To describe this phenomenon, the concept of Domotopia is introduced, defining how people arrange, use, and experience their homes to cope with the pathologies of accelerated and liquid modernity (Bauman 2005). While the Data Domotopia is based on a mixed-method combining qualitative and quantitative material, this paper focuses mainly on the description of the questionnaire – which is organized into three interrelated layers: the dwelling, the dwellers, and the neighborhood. Each of these layers unfolds in functional, social, emotional and sensory components. The survey covers most of the contemporary issues related to home-making. This includes the domestic space and gender issues; the socio-spatial resources (mobility, action space, core, and wider social network); lifestyles, ideals, and residential aspiration; time pressures, time use, organization and stress; equipment, rules and arrangements; interpersonal relations, cohabitation and negotiation, dominance and power. Intakes on the Data Domotopia is given by two concrete cases about the time-space coverage of the habitual action space, and about inter-personal task allocation. These examples show the potential of the data to study domocentric stillness and resilience to urban pathologies. The data – aggregated to the infra-communal level – is available for research purposes.

In a context where daily car use is a spontaneous and habitual choice for a wide majority of the population, the quality of the alternatives to individual motorized vehicles is a major factor in encouraging modal shift. The ease of access to public transport can influence the mode choice decision process. However, the diversity of activity-travel patterns questions the definition of a unique and homogeneous accessibility and level-of-service to all travelers. The aim of this paper is to identify, with the help of standard data (micro-census and open data), for whom, when and where the transit supply is adequate or not. The approach is based on a twofold methodology. First, we aim to identify differentiated typical activity-travel patterns among the population. Second, to decompose them in transit supply in time and space. Combined, these two elements synthesize a spatially- and temporally-based demand-supply gap index. The results show for which territories, time slots and population groups the supply is defective or excessive with respect to the demand. Generally speaking, the supply is particularly well dimensioned for the dominant groups, such as commuters, including long-distance travelers, who are mainly men. The imbalances in supply over time and space reveal a differentiated accessibility but also significant socio-spatial inequalities.

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