EDITS Project

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[collapse title=”Personal mobility data for Austria”]

I am looking for mobility data, mainly time of use or other survey data with heterogeneity about some lifestyle aspects and modes used.

Measure name: personal mobility

Dimension:

Scope: Australia

Resolution: If possible series or a number of different years.

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Data Set Request ID: gg639

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[collapse title=”Time series of Decent Living Standards indicators or proxies at national level”]

Decent Living Standards (DLS) indicators or proxies at national level describe the time-bound fulfillment of DLS within a country (e.g. average or distribution of person-kilometers traveled in Uganda in 2013-2015). Desired data in the best case cover longer time spans as time series (i.e. 1960-2022). For operational examples of DLS see, for example, Kikstra et al. (2021): Decent living gaps and energy needs around the world. In: Environ. Res. Lett. 16 (9), S. 95006. DOI: 10.1088/1748-9326/ac1c27.

Measure name: Decent Living Standards (DLS) indicators

Dimension: time; geography

Scope: 1960-2022; global

Resolution: yearly; national

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Data Set Request ID: 3mpq9

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[collapse title=”Energy services indicators by sector”]

Measure name:

Dimension:

Scope: As many services and end-uses as possible

Resolution: As granular as possible

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Data Set Request ID: h6k50

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[collapse title=”Household-level data of willingness-to-pay for electric vehicles”]

Measure name: Willingness to pay

Dimension:

Scope:

Resolution: Household

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Data Set Request ID: esl52

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[collapse title=”Technology shares of light-duty vehicles”]

Measure name: % share of particular technologies in the stock of light-duty passenger road vehicles (i.e cars)

Dimension: Geography

Scope: Global

Resolution: Country

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Data Set Request ID: 8eixu

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[collapse title=”How does demand-changes effect growth and employment?”]

Could be Input-Output modelling, specifically for the industry sector

Measure name:

Dimension:

Scope:

Resolution:

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Data Set Request ID: ahonf

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[collapse title=”number of housing stock by types of housing”]

Measure name:

Dimension:

Scope:

Resolution: country

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Data Set Request ID: 8tiac

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[collapse title=”Material usage in the building sector”]

Materials used in the building sector within the buildings’ lifetime

Measure name:

Dimension:

Scope: Global or regional

Resolution:

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Data Set Request ID: 9mysx

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[collapse title=”Input data for bottom-up residential energy end-use simulation”]

Weather data, demographic data, Building stock data, appliance ownership, etc.

Measure name:

Dimension:

Scope: World

Resolution: Hourly (weather), country

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Data Set Request ID: v5old

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