Transit market research using structural equation modeling and attitudinal market segmentation

By Yoram Shiftan, M. Outwater, Yushuang Zhou. 2008

161 citations recorded by the source corpus.

Subfields: Automotive Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/99d35074570c7101f336f095661feaaa7d047972

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Bert van Wee
2. Chieh Wen
3. Wei-Chung Wang
4. Maria Kamargianni
5. Chandra R. Bhat
6. C. Fu
7. D. Chatman

In Transportation

1. Chandra R. Bhat
2. Maria Kamargianni
3. Bert van Wee
4. Subodh K. Dubey
5. Amalia Polydoropoulou
6. Chieh Wen
7. Wei-Chung Wang
8. C. Fu

Citations in the corpus

• Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model (2015, background): “…and reduces the probability of choosing private motorized vehicles (for example, see Outwater et al., 2003; Anable, 2005; Hunecke et al., 2007; Shiftan et al., 2008; Atasoy et al., 2010; Daly et al., 2012; Rieser-Schüssler and Axhausen, 2012; Tyrinopoulos and Antoniou, 2013; Hess et al.,…”
• Self‐Selection: A Key to a Better Understanding of Location Choices, Travel Behaviour and Transport Externalities? (2009, background): “Over the last decade, the attention on these types of variables has increased (e.g. Kitamura et al., 1997; Schwanen and Mokhtarian, 2005; Shiftan et al., 2008), leading to a better understanding of location choice and travel behaviour.”
• Identifying target groups for environmentally sustainable transport: assessment of different segmentation approaches (2013, unknown): “In recent years the use of ‘pure’ attitude-based market segmentation to promote environmentally sustainable transport has significantly increased [11 ,20 ,27–29,30 ,31,32].”
• A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables (2015, background): “A starting point for this is Stapleton (1978), who develops sufficiency conditions for multiple-indicator multiple-cause (MIMIC) models, and whose discussion is applicable to SEM-based models with no nominal variablesv (see also Reilly and O'Brien, 1996).”
• Latent class nested logit model for analyzing high-speed rail access mode choice (2012, methodology): “An alternative approach comprises post hoc segmentation, which determines the number and profiles of segments through multivariate statistical methods such as cluster analysis (e.g., Psaraki and Abacoumkin, 2002; Outwater et al., 2004a, 2004b; Shiftan et al., 2008).”