Open AccessANALYSING THE FACTOR INFLUENCING TRAVEL PATTERN AND MODE CHOICE BASED ON HOUSEHOLD INTERVIEW SURVEY DATA: A CASE STUDY OF DHAKA CITY, BANGLADESH
Author(s) -
Faysal Ibna Rahman
Publication year - 2020
Publication title -
zeszyty naukowe - politechnika śląska. transport/scientific journal of silesian university of technology. series transport
Language(s) - English
Resource type - Journals
eISSN - 2450-1549
pISSN - 0209-3324
DOI - 10.20858/sjsutst.2020.109.14
Subject(s) - trips architecture , mode (computer interface) , car ownership , household income , mode choice , business , questionnaire , mode of transport , trip generation , demographic economics , survey data collection , travel behavior , socioeconomics , transport engineering , geography , marketing , economic growth , public transport , economics , engineering , sociology , computer science , statistics , social science , mathematics , archaeology , operating system
For transport planning and policy-making, visualising the relationship among attributes; gender, education, occupation, age with travel pattern and mode choice is important. Household Interview Survey (HIS) is one of the major inputs in transport study which contains information about travel and demographic characteristics. From the analysis of 28,235 households in Dhaka city, this study represents the social demographic characteristic of Dhaka city based on the household survey. It was found that 89.79% of dwellers make double trips in a day and the trip rate per trip maker is 2.16, where 14% of total trips are generated at morning peak time between 7 to 8 am. The bus is the most preferable mode share and its contribution is about 35%. The scenario changed in a multimodal trip case and walking was the domination mode share with about 45% of total trips. Vehicle ownership had a vital rule in particular mode choice, especially in car and motorcycle household ownership case. Significant impact on travel patterns and mode choice criteria was found with gender, education, occupation, age, household income, trip purpose and time and vehicle ownership, which can help to formulate the strategic plan to solve the transport-related problem in Dhaka.