What's your go-to method for measuring travel demand management strategy impact on mode choice?

2 Observations and counts

Another common method for measuring TDM impact on mode choice is to observe and count the number of travelers using different modes of transportation, either manually or with the help of sensors, cameras, or other devices. Observations and counts can provide objective and reliable data on the actual mode choices of travelers, as well as the changes in mode share, or the proportion of travelers using a certain mode of transportation. However, observations and counts also have some challenges, such as the need for large samples, the difficulty of capturing trip purposes and origins and destinations, and the influence of external factors, such as weather, seasonality, or events. To address these challenges, you should conduct your observations and counts at representative locations and times, use consistent and accurate methods, and control for confounding variables.

3 Models and simulations

A third method for measuring TDM impact on mode choice is to use models and simulations that estimate the mode choices of travelers based on various inputs, such as socio-demographic characteristics, travel costs, travel times, travel preferences, and TDM measures. Models and simulations can provide a comprehensive and flexible way to assess the potential impact of different TDM scenarios, as well as to test the sensitivity and uncertainty of the results. However, models and simulations also have some limitations, such as the need for reliable and valid data, the complexity and assumptions of the models, and the difficulty of validating and calibrating the models. To address these limitations, you should use appropriate and transparent models, update and refine your data and parameters, and compare your results with other methods or sources.

4 Mixed methods

A fourth method for measuring TDM impact on mode choice is to use a combination of the above methods, or mixed methods, that can complement and enhance each other. Mixed methods can provide a more holistic and robust understanding of the TDM impact on mode choice, as well as the underlying mechanisms and factors that influence the mode choices of travelers. However, mixed methods also have some challenges, such as the need for more resources, time, and expertise, the difficulty of integrating and synthesizing different types of data, and the potential for conflicting or inconclusive results. To address these challenges, you should plan and design your mixed methods carefully, use appropriate and consistent methods, and interpret and communicate your results clearly and cautiously.

5 Tips and recommendations

When measuring TDM impact on mode choice, there is no one-size-fits-all method. It is important to define your research question and objectives clearly and specifically, review the existing literature and evidence, select the most appropriate method, implement and monitor your method ethically, and evaluate and communicate your results effectively. When making these decisions, consider factors such as data availability, budget, time frame, target population, validity, reliability, credibility of the data and results, participant recruitment and engagement, privacy and confidentiality of participants, any challenges or issues that arise during data collection and analysis, interpretation of the results, addressing any limitations or uncertainties, and sharing the results with stakeholders and the public.