Econometric model

Econometric model

A Survey of Energy Models

Published in S. C. Littlechild, K. G. Vaidya, Energy Strategies for the UK, 2019

Many models attempt to estimate future demands for each fuel [8, 9, 13, 23], or for energy as a while [1, 14, 25–30]. Sometimes these are ‘point estimates’, in other cases demand is estimated as a function of prices, incomes, etc. Typically, these are statistical or econometric models. However there is a growing literature which is critical of such methods, and advocates instead a ‘bottom-up’ approach involving engineering estimates of fuel requirements for each energy-using process and sector [27–9]. Forecasting models of either kind are essentially outside the focus of our book, although for illustration a few examples are discussed in the Appendix. Of course, we need to embody particular forecasts in our own model, as discussed in Chapter 4.

Mapping of bus travel time to traffic stream travel time using econometric modeling

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Journal Information

Published in Journal of Intelligent Transportation Systems, 2022

Sharmili Banik, Lelitha Vanajakshi, Darcy M. Bullock

From the literature review, it is found that econometric modeling has been used for mapping bus to stream travel time. There are different types of econometric models such as probit model, logit model, duration model, hazard model, cross-sectional regression model, time-series regression model, panel regression model and simple/multiple regression model (Baltagi, 2001; Berg, 2008; Hsiao, 2003; Sims, 1980). The applicability of these models to relate bus and stream travel time is discussed below.

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A Survey of Energy Models

Mapping of bus travel time to traffic stream travel time using econometric modeling