Thursday, December 17, 2015

MODE CHOICE ANALYSIS: THE DATA, THE MODELS AND FUTURE AHEAD

By Minal, Ch. and Ravi Sekhar

Mode choice is one of the most vital stages in transportation planning process and it has direct impact on the policy making decisions. Mode choice models deals very closely with the human choice making behaviour and thus continues to attract researchers for further exploration of commuter’s choice making process. The objective of this study is to carryout detailed review on various modeling methods of mode choice analysis and bottlenecks associated with the same. The factors that affect the psyche of the travelers have been discussed; further various types of data required and their method of collection has been briefed up. This paper particularly emphasizes on statistical mode choice models such as multinomial logit and probit models as well as recent advanced soft computing techniques such as Artificial Neural Network models (ANN) and Fuzzy approach model that are employed for modal split analysis. Comparative analysis were made among various modeling techniques for modeling the complex mode choice of behaviour of models carried out by various researchers in the literature and a discussion on the need of future hybrid soft computing models has been attempted.


more about urban travel behavior:

USING STRUCTURAL EQUATIONS MODELLING TO UNRAVEL THE INFLUENCE OF LAND USE PATTERNS ON TRAVEL BEHAVIOR OF URBAN ADULT WORKERS OF PUGET SOUND REGION

Feasibility of Voluntary Reduction of Private Car Use

What if you live in the wrong neighborhood? The impact of residential neighborhood type dissonance on distance traveled

Vehicle Miles Traveled and the Built Environment: Evidence from Vehicle Safety Inspection Data

Residential Self-Selection and Its Effects on Urban Commute Travels in Iranian Cities Compared to US, UK, and Germany

MODELING THE TRAVEL BEHAVIOR IMPACTS OF MICRO-SCALE LAND USE AND SOCIO-ECONOMIC FACTORS

Determinants of Automobile Use: A Comparison of Germany and the U.S

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