Understanding neighbourhood design impact on travel behaviour: An application of structural equations model to a British metropolitan data
By P. Aditjandra, Xinyu Cao, Corinne Mulley. 2012
197 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Transportation
View Paper: https://www.semanticscholar.org/paper/850837ffbf4163a157cf9175785f16a51bd69796
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
In Transportation
- Sabreena Anowar
- Naveen Eluru
- L. Miranda-Moreno
- Chandra R. Bhat
- Abdul Rawoof Pinjari
- Hao Fang
- R. Ewing
- David A. Hensher
Citations in the corpus
- Identifying target groups for environmentally sustainable transport: assessment of different segmentation approaches (2013, unknown): “Other studies choose specific study areas representing different settlement structures to examine the influence of neighbourhood characteristics on travel behaviour [14,15].”
- A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables (2015, background): “There is also evidence that individuals with children tend to favor suburban neighorhoods due to the open spaces and good quality schools (Aditjandra et al., 2012), as do households with many young active adults (Brownstone and Golob, 2009).”
- Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, background): “Theoretically, SEM has two components, factor analysis/measurement model and structural equation/model (Aditjandra et al., 2012; Washington et al., 2011). The measurement models identify latent constructs underlying a group of manifest variables (or indicators) while the structural equations describ”