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This study introduces a city-level (across cities) model to estimate the relationships between the number of deaths in road accidents (as the dependent variable) and several work travel mode choice indicators, including walking, cycling and public transport (as independent variables).
Table 3 Sample Evaluation Framework database file Project: Acronym Full title Project date: (Start) (End) Programme type: FP5 FP6 (User choice) Programme Acronym: GROWTH SST (User choice) Project type: IP STREP NOE Other (User choice) Indicators Rate the extent to which the project contributed/addressed the indicator Fully Partly Indirectly No Not at all Not relevant 1. … 2.
Such indicator-based approaches are criticized by the same author himself regarding the lack of integration of the non-included aspects in the single-indicator approach, leading to omissions that lead to miscalculations, and the subjectivity embedded in the choice of indicator weights and rankings in the multiple-indicator approach.
This index is not a probability (of choice) weighted indicator that is typically derived from a choice model; rather we seek to establish an indicator based solely on the levels of service currently on offer.
In the single study that tested the differences between multiple indicators of fluid cognition, the authors suggested that the choice of indicator had little bearing on the associations presented (20).
Sensitivity analyses indicated that conclusions were generally robust to the choice of indicator and other model specifications.
The choice of indicator affects the spatial pattern of accessibility (Talen and Anselin 1998).
Regardless of choice of indicator, these studies document a secular decline in VAD for industrial countries, albeit at a somewhat reduced rate during the most recent decades.
The choice of indicator aggregation methodology can therefore be essentially important to the overall outcome of the assessment.
In studies with more than one measure of childhood SEP, the choice of indicator was based on the frequency of use across studies.
The choice of indicator aggregation rule appeared to be of essential importance for assessment results for all three segments, whereas the hierarchical structure of indicators had only a minor influence.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com