Trip Generation Rates Using Household Surveys in the State of Qatar Khaled E. Aboelenen, Anas N. Mohammad, Moustafa I. Elgaar, and Pilsung Choe Qatar University, Doha, Qatar Email: Ka1104306@qu.edu.qa, am1912347@qu.edu.qa, me1205377@qu.edu.qa, pchoe@qu.edu.qa Abstract—Investment in transportation can bring a range of economic, social, and environmental benefits. In order to manage resources effectively and to choose the best decision from a variety of investment options for the transportation projects, transportation model is normally used, moreover it can help in predicting the impact of these transportation project options on traveler’s mobility based on future changes in land uses, population, jobs, and other economic factors. Transportation modelling outputs will support in assessing transportation project options and setting the transportation investments priorities. Trip generation is considered the first step in four-stage transport modelling. It estimates the number of trips produced or attracted by households' members over one full day. In the paper, trip generation regression models were developed using household surveys for villas and apartments. The regression models for Villa is (0.357+1.3681X1+2.4914X2) were X1 and X2 and the number of people with driving license and number of active people (employees and students) respectively with an R 2 of 0.65 , on the other hand the regression model for the apartment is (0.5323+0.9815X1+2.3961X2) with R 2 of 0.54. Index Terms—trip generation rate, household travel survey, regression models, villa, apartment, census I. INTRODUCTION Over the past few years, the State of Qatar has experienced enormous growth in all aspects of urban life, and as a result of this fast-growing economy, the population of Qatar grew and is expected to continue to increase at a very high rate. Traffic growth and increased cars ownership are two of the corresponding outcomes of this development. According to planning and statistics authority’s monthly statistics report [1]. The range of new registered vehicles every month is between 5000 to 6000 vehicles of different types (Private Car, Trailer, Heavy Equipment, Motorcycles, Public transport …etc.). In order to accommodate this growth and reduce the traffic impact of the vehicles on the road network, proper transportation planning must be implemented. Transportation planning is the confluence between many different disciplines. [2] defines the transportation planning as a It is the participatory process done by organizations, agencies and the public, in which demographic characteristics and travel pattern are spatially and temporally examined in order to evaluate Manuscript received January 30, 2021; revised May 11, 2021. current and provide better alternatives for transportation systems. Another definition for the transportation planning is the medium that provides joint interactions between planning design and operation for the services of transportation, this cooperation supports the balance between the efficient mobility form the people while maintaining a healthy and clean environment [3]. In short words transportation planning aims to identify and evaluation future transport needs and works provide proper plans in order to mitigate traffic impact and facilitate transportation for people and goods. The transportation planning processes are (a) Transportation survey, data collection and analysis (b) Use of transportation model (c) Future land use forecasts and alternative policy strategy (d) policy evaluation. The transportation modelling can be desegregated into 4 different processes which are shown in Fig. 1. The main aim of the paper is to identify what are the socio- economic factors that directly affects the trip generation for residential buildings in Qatar i.e. household size, household type, household income, car ownership …etc. Figure 1. Transport demand modelling 4 stage According to the latest census in Qatar which was conducted in 2015, almost 84% of residential unit types in Qatar are villas/palace or apartment as depicted in Fig. 2 [4]. Since both villas and apartments are the most dominant residential unit types in Qatar, therefore, it was decided for the purpose of this research, trip generation models to be developed specifically for villas and apartment only. It should be noted that the trip generation models were developed for normal working day only since the individual’s travel behaviors is significantly change in weekend. 10 Journal of Traffic and Logistics Engineering Vol. 9, No. 1, June 2021 ©2021 Journal of Traffic and Logistics Engineering doi: 10.18178/jtle.9.1.10-19