Modifications to Traditional External Trip Models

2002 ◽  
Vol 1817 (1) ◽  
pp. 163-171 ◽  
Author(s):  
Gregory T. Giaimo
Keyword(s):  
Gravity Model ◽  
Generation Model ◽  
Trip Generation ◽  
Trip Distribution ◽  
General Direction ◽  
Independent Variables ◽  
Metropolitan Planning ◽  
Internal Zone ◽  
Typical Solution ◽  
Crossing Point

Traditionally, internal-external trips were modeled by using regression-based trip generation equations and gravity model trip distribution. Applying these models at the cordon in the traditional way produces a number of problems. A typical solution is the use of external traffic analysis zones and highway networks that are used to model the external traffic similarly to internal traffic. Presented are modifications to each component of the traditional cordon line external model that will remedy these problems for those areas that do not wish to expand their data collection burden to areas outside their planning boundaries. In this model, trip distribution is a traditional cordon applied gravity model modified by using a composite impedance based on the product of travel time and an exponential function of the angular impedance. Angular impedance is defined as the angle between the vector representing the general direction of travel at the cordon and the vector defined by the cordon crossing point and a given internal zone centroid. The trip generation model is modified by the use of accessibility modified independent variables in the regression formulation. This model uses either traditional socioeconomic variables or internally generated production and attractions as the root variable. These root variables are then multiplied by an accessibility term similar to the denominator of the gravity model formula where internal-external trip productions at the cordon are used as the size variables. Application of these modifications to a small metropolitan planning organization in Ohio resulted in dramatic improvements to the model.

scholarly journals SITE SELECTION FOR NEW POINT TO POINT (P2P) BUS ENDPOINTS AND ROUTES IN METRO MANILA, PHILIPPINES

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 659-666
Author(s):  
K. A. Vergara ◽  
J. Sanchez ◽  
E. L. Bautista
Keyword(s):  
Gravity Model ◽  
Site Selection ◽  
Heavy Traffic ◽  
Trip Generation ◽  
Trip Distribution ◽  
Metro Manila ◽  
Selection For ◽  
Increasing Demand ◽  
Bus Service ◽  
Point To Point

Abstract. The Point to Point Bus system (P2P) is a relatively new transportation alternative available in selected areas in Metro Manila and other provinces nearby. New routes are continuously added to cater to the ever-increasing demand of the commuting public to avoid wasting time in heavy traffic and to provide alternatives to the inconvenient metro trains. This paper presents a methodology for the identification of potential sites of additional routes for P2P Premium Bus Service in Metro Manila. Trip generation, trip attraction, and friction factor were determined to show trip distribution using gravity model. A raster-based approach of gravity model was conducted to disaggregate zonal data into discrete and continuous trip distribution values. Through the generated trip distribution values, site suitability was conducted to identify origin and destination of routes, primarily the major malls. Using network analysis, 14 new routes were identified by connecting suitable sites for P2P Premium Bus Service routes.

scholarly journals Home Based Trip Generation Model S Analysis in Medan, Binjai, Deli Serdang and Karo (Mebidangro) Urban Area, Indonesia

2020 ◽  
Vol 2 (3) ◽  
pp. 139-143
Author(s):  
Agustinus Panjaitan ◽  
Abdul Rahim Matondang ◽  
Marlon Sihombing ◽  
Agus Purwoko
Keyword(s):  
Mathematical Model ◽  
Urban Area ◽  
Generation Model ◽  
Trip Generation ◽  
Independent Variables ◽  
Home Based ◽  
The Mathematical Model

The purpose of this research is to develop a home-based trip generation model and analyze the variables that influence the trip generation model of people. This study focuses on the trip generation of home-based people in the Medan-Binjai-Deli Serdang (Mebidang) area so that the sample to be used in households that make home-based trips in the region. The mathematical model that generated regression with the dependent variable the number of home-based trips affected by several independent variables that influence it. The resulting model was then validated by the VIF and Anova tests and the Heteroscedasticity test. From the results of this study, it is expected that a trip generation model of home-based trip generation in the Mebidang urban area will be generated so that it can be known what factors influence the trip generation of the area.

scholarly journals A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant

2021 ◽  
Vol 13 (22) ◽  
pp. 12815
Author(s):  
Shafida Azwina Mohd Shafie ◽  
Lee Vien Leong ◽  
Ahmad Farhan Mohd Sadullah
Keyword(s):  
Land Use ◽  
Fast Food ◽  
Coefficient Of Determination ◽  
Convenience Store ◽  
Generation Model ◽  
Fast Food Restaurant ◽  
Trip Generation ◽  
Petrol Station ◽  
Independent Variables ◽  
Use Category

A trip generation manual and database are important for transportation planners and engineers to forecast new trip generation for any new development. Nowadays, many petrol stations have fast-food restaurant outlets. However, this land use category has yet to be included in the Malaysian Trip Generation Manual. Therefore, this study attempted to develop a new trip generation model for the new category of “petrol station with convenience store and fast-food restaurant”. Significant factors influencing the trip generation were also determined. Manual vehicle counts at the selected sites were conducted for 3 h during morning, afternoon and evening peak hours. Regression analysis was used in this study to develop the model. A simple trip generation model based on the independent variable number of restaurant seats showed a greater value for the coefficient of determination, R2, compared with the independent variables gross floor area in thousand square feet and number of pumps. The multivariable trip generation model using three independent variables generated the highest R2 among all of the models but was still below a satisfactory level. Further study is needed to improve the model for this new land use category. We must ensure more accuracy in trip generation estimation for future planning and development.

scholarly journals Trip generation model: Example of grammar school students in Belgrade

2006 ◽  
Vol 86 (1) ◽  
pp. 191-202
Author(s):  
Ivan Ratkaj
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Generation Model ◽  
Grammar School ◽  
Trip Generation ◽  
School Students ◽  
Territorial Unit ◽  
Basic Approaches

Trip generation models aim to predict the amount of transportation movements (or the number of potential trip makers) leaving a territorial unit according to the attributes of that unit. There are two basic approaches used for modeling the generation of trips: linear regression and category analysis. This article explains the issue of trip generation modeling based on the methodology of linear regression analysis, on the example of grammar schools in Belgrade.

scholarly journals PEMODELAN BANGKITAN PERGERAKAN BERDASARKAN AKTIVITAS MANDATORY (SEKOLAH DAN BEKERJA) DARI KOMPLEK PERUMAHAN DI KABUPATEN ACEH BARAT

2020 ◽  
Vol 3 (1) ◽  
pp. 410-416
Author(s):  
Murdani Murdani ◽  
Renni Anggraini ◽  
Muhammad Isya
Keyword(s):  
Family Income ◽  
Social Activity ◽  
Generation Model ◽  
Trip Generation ◽  
Work Activity ◽  
Community Activities ◽  
Several Variables ◽  
And Gender ◽  
Main Activity ◽  
School Activity

Johan Pahlawan subdistrict is one of subdistricts in West Aceh. This subdistrict is center of all community activities compared to the sub-districts in West Aceh Regency. This is because there are many government offices, schools and trade centers. So that community activities tend to move to this sub-district. The modeling of trip generation has been performed by individuals in one area that will be needed to know by studying a variety of relationships between the characteristic of movements and the environmental of land use. This research aimed at achieving the modelling movements of generation based on activities in the housing of Caritas, Islamic Relief and IOM  in subdistrict of Johan Pahlawan in West Aceh Regency by identifying the factors which have influenced the occurrence of movements to the workplace by dwellers of housing. The data were collected by surveys, questionnaires and the formation of the model was collected by using SPSS 21 and multiple linear analysis to get the best trip generation model. In this study there are five types of activity, two as main activity and three as an additional activity. they are obtained is school activity (mandatory), work activity (mandatory), shuttle of children activity (maintenance), shuttle household affairs activity (maintenance) and social activity (maintenance). Based on the results of running from several variables there are 5 variables that meet to the criteria of model, the variables are number of family members (X1), family income (X2), age (X8), travel distance (X10) and gender (X11). The best models are: Work Aktivity (Y­­­­1) = 0.988 + 0.169 X1 + 0.582 X2, School Aktivity (Y2) = 1.684 + 0.865 X2 + 0.387 X8, Social Activity (Y3) = 0.885 + 0.564 X2 + 0.334 X10, Shuttle of Children Activity (Y4) = 1.028 + 0.902 X8 + 0.557 X11 and Shuttle Household Affairs Activity (Y5) = 2.367 + 0.931 X1 + 0.858 X2.

scholarly journals Modelling Trip Distribution Using the Gravity Model and Fratar's Method

2021 ◽  
Vol 8 (2) ◽  
pp. 230-236
Author(s):  
Ishraq Hameed Naser ◽  
Mohammed Bally Mahdi ◽  
Fatin Hadi Meqtoof ◽  
Hiba Akrm Etih
Keyword(s):  
Growth Factor ◽  
Gravity Model ◽  
Planning Process ◽  
Urban Transportation ◽  
Real Data ◽  
Land Uses ◽  
Trip Distribution ◽  
Satisfactory Model ◽  
Rapid Changes ◽  
Significant Model

Trip Distribution is a difficult and significant model in the urban transportation planning process. This paper creates and assesses a satisfactory model of the trip distribution stage for the Nasiriyah city by using two models, Gravity and Fratar methods. A large sample was used for developing the model. The research methodology depends on discussing the theoretical fundamentals of the various methods for estimating the trips distribution and examining the suitability of these fundamentals for the conditions of the selected study area. Two different models had been used, namely; Frater and Gravity model. These models were calibrated using real data. The study tests the accuracy of the models, including overall statistical assessments of the predicted movements. Finally, the study recommended to use Fratar Method. These results had been confirmed to the literature that, if the area is a homogenous growth, the best model is the growth factor (Fratar's method) and if the area is experiencing rapid changes. The gravity model will produce satisfactory results because it takes into account the competition in different land uses.

Evaluation of Two Modeling Methods for Generating Heavy-Truck Trips at an Intermodal Facility by Using Vessel Freight Data

2005 ◽  
Vol 1906 (1) ◽  
pp. 113-120 ◽  
Author(s):  
Pradeep Sarvareddy ◽  
Haitham Al-Deek ◽  
Jack Klodzinski ◽  
Georgios Anagnostopoulos
Keyword(s):  
Neural Network ◽  
Storage Time ◽  
Learning Algorithm ◽  
Generation Model ◽  
Trip Generation ◽  
Modeling Techniques ◽  
Heavy Truck ◽  
Input Variables ◽  
Lag Variables ◽  
Bpnn Model

A methodology for building a truck trip generation model by use of artificial neural networks from vessel freight data has been developed and successfully applied to five Florida seaports. The backpropagation neural network (BPNN) algorithm was used in the design. Although the methodology was sound, a new model had to be developed for each of these intermodal facilities. Lead and lag variables were necessary input variables for most models to account for commodities stored on port property before export or pickup after import. Other modeling techniques were researched, and a fully recurrent neural network (FRNN) trained by the real-time recurrent learning algorithm was selected to develop a model for Port Canaveral and compare with a BPNN model. FRNN is dynamic in nature and was found to relate to the storage time of the commodities to truck trip generation. A developed Port Canaveral BPNN model was successfully validated at the 95% confidence level with collected field data. It was applied to conduct a short-term forecast of the port's truck traffic for 5 years. The average annual growth of trucks based on the estimated freight activity under the BPNN model was 5.07%. The Port Canaveral FRNN model adequately estimated the current conditions but failed to forecast truck growth. The FRNN model required more data for forecasting than backpropagation. However, when more consecutive data are available for training, FRNN may produce more accurate results.

Trip Generation Modeling Using CHAID, a Criterion-Based Segmentation Modeling Tool

1998 ◽  
Vol 1645 (1) ◽  
pp. 24-31 ◽  
Author(s):  
Orlando Strambi ◽  
Karin-Anne Van De Bilt
Keyword(s):  
Model Development ◽  
Generation Model ◽  
Trip Generation ◽  
Modeling Tool ◽  
Explanatory Variables ◽  
Interaction Detection ◽  
Synthetic Populations ◽  
Exploratory Technique ◽  
Population Forecasting ◽  
Chi Squared

Conventional trip generation models are identified, as are the difficulties of model application typical of segmentation problems: identification and categorization of explanatory variables and of the interactions among them. The use of CHAID (Chi-Squared Automatic Interaction Detection), a criterion-based segmentation modeling tool, is explored to analyze household trip generation rates. CHAID models are presented in the form of a tree, each final node representing a group of homogenous households concerning daily trip making. An application to data from an origin-destination survey for São Paulo produced interesting results, in agreement with theoretical expectations and amenable to interpretation based on the likely activity-travel patterns of each group of households generated by the technique. CHAID can be used as an exploratory technique for aiding model development or as a model by itself. The use of CHAID results as a trip generation model was verified through an evaluation of its predictive capability in a cross comparison of two subsamples and through a comparison of observed versus predicted trips at a zone level; the segmentation of households produced by the technique provided good estimates of trip rates and zone totals. The application of a modeling approach requiring a highly disaggregate projection of the population may become possible considering the advances in methods for the generation of synthetic populations. The use of these methods in conjunction with a segmentation model represents an alternative to conventional trip generation models and an opportunity to introduce new population forecasting techniques into transportation planning practice.

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