Transit Price Elasticities and Cross-Elasticities
By T. Litman. 2004
384 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/0113972a7881d04bfd4364b5c3d3568e2af41176
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In Economics and Econometrics
In Transportation
Citations in the corpus
- Understanding Transport Demands and Elasticities: How Prices and Other Factors Affect Travel Behavior (2012, background): “Todd Litman (2004), “Transit Price Elasticities and Cross-Elasticities,” Journal of Public Transportation, Vol. 7, No. 2, (www.nctr.usf.edu), pp. 37-58; at www.vtpi.org/tranelas.pdf.”
- The prospects of fare-free public transport: evidence from Tallinn (2017, methodology): “Disincentives for car usage such as congestion pricing, parking fees and fuel prices might result with a greater model shift from car to public transport than those gains by reducing public transport fares (Cervero 1990; Litman 2012). Depending on the extent to which the cross-elasticity dominates t”
- Evaluating Public Transit Benefits and Costs: Best Practices Guidebook (2004, background): “4%, although this varies depending on various geographic, demographic and service factors (Hensher and King 1998; Pratt 1999; TRL 2004; Litman 2004).”
- Psychological effects of and design preferences for real-time information displays (2006, neutral): “A negative sign indicates that the effect operates in the opposite direction from the cause (Victoria Transport Policy Institute 2005; Litman 2004).”
- Evaluating Public Transit Benefits and Costs (2015, background): “Cambridge Systematics and Apogee Research (1996), Measuring and Valuing Transit Benefits and Disbenefits, TCRP Report 20, Transportation Research Board, (www.trb.org).”
- Valuing Transit Service Quality Improvements (2008, background): “Dis-cretionary transit users (people who have the option of driving) tend to be partic-Valuing ularly sensitive to comfort and convenience improvements (Phillips, Karachepone, and Landis 2001; Litman 2004; DfT 2006).”
- What Affects Transit Ridership? A Dynamic Analysis involving Multiple Factors, Lags and Asymmetric Behaviour (2011, background): “90 (McLeod et al., 1991; Litman, 2004), with the higher values representing long-term elasticties and the lower values being short-term elasticities.”