Abstract
This study aims to analyze travel behavior pattern, and identify the nature of relationships among socio-economic demographics (SEDs) and travel demand management (TDM) measures. A questionnaire survey was conducted in Lahore, Pakistan and 631 samples were collected. Initially, cross analysis of vehicle ownership and modal share was conducted to classify the sample into four segments, i.e., car oriented, motorcycle oriented, public transport roiented, and non-motorized modes oriented. The results of cross analysis indicated that the use of cars increased with an increase in education level, and decreased with size of the households. People having private vehicles prefer to use those, instead of availing public transport. However, most of the private vehicle users have favorable evaluation of public transport improvement strategy. Perceptions for TDM measures vary among the four segments of mode users. Optimal ranking of TDM measures places advance traffic information and public transport improvement at the top, and parking charges and fuel tax at the bottom. Ordinal regression analysis was conducted by applying Logit model, and relationships were determined among various SED variables and TDM measures. Modeling results revealed that income, education, gender, and current travel mode are significant determinants of commuter’s attitudes towards the selected TDM measures. Among all factors, respondent’s education level was observed to be the most influencing factor. However, different SED factors affect the consideration of TDM measures differently. The results of this study can help the transport planners and policy makers in arriving at appropriate TDM measures for specific segment of the travel market
