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 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 Trip Generation by Transportation Mode of Private School, Semi-private and Public. Case Study in Merida-Venezuela

2016 ◽  
Author(s):  
Angela María Quintero Petit ◽  
Mary Isabel Díaz Gallardo ◽  
Emilio German Moreno González
Keyword(s):  
Land Use ◽  
Private School ◽  
Travel Demand ◽  
Correlation Coefficients ◽  
Generation Model ◽  
Trip Generation ◽  
Transportation Mode ◽  
The Social ◽  
Private And Public

The trip generation model (TGM) is the first step in transportation forecasting, this is useful for estimating travel demand because it can predict travel from or to a particular land use. Typically, the analysis focuses in residential trip generation as a function of the social and economic attributes of households, but nonresidential land use suggests others variables. Travel generator poles such as: Private school, Semi-private and Public, have not been studied in Venezuela. The TGMs that shows the Institute of Transportation Engineers (ITE), EE.UU, are used typically and could be not appropriate. By using stepwise regression and transformation of data, high correlation coefficients and substantial improvements in the variability of data from several schools they were found. The trip generation rates (TGRs) by transportation mode: walking, motorcycle, public transport and cars, can be compared and be included in the Ibero-American Network of travel attractors poles.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3410

Trip-Generation Forecasting Model Based on Entropy of Land-Use Mixing

2015 ◽  
Vol 738-739 ◽  
pp. 479-482
Author(s):  
Ying Wang ◽  
Kuan Min Chen
Keyword(s):  
Land Use ◽  
High Reliability ◽  
Simple Calculation ◽  
Urban Land ◽  
Urban Land Use ◽  
Generation Model ◽  
Trip Generation ◽  
Model Based ◽  
The Relationship ◽  
Full Consideration

This study aimed to modify the traditional method of trip-generation by investigating the relation between trip generation and land use. Based on the interaction between urban land-use sorts and trip generation, the trip generation weights among different urban land-use sorts are determined by multiple regression analysis. Given full consideration of the land-use mixing degree, the entropy of traffic-zone-land-use mixing was calculated. An improved trip-generation model based on the entropy of land-use mixing was proposed by analyzing the relationship between trip-generation weight and land-use mixing degree. This method was tested through applying it to Xi’an urban trip generation forecasting. The result of the test shows that this method effectively illustrates the correlation between trip-generation demand and land-use mix sort, and has a better application prospect due to simple calculation, high reliability and feasibility.

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 Servicescape dan Pengaruhnya Terhadap Kepuasan Pelanggan: Studi Pada Konsumen Eduplex Bandung

2019 ◽  
Vol 5 (2) ◽  
pp. 21
Author(s):  
Azmi Mutia Ainun ◽  
Maya Setiawardani
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Fast Food ◽  
Descriptive Statistics ◽  
Coefficient Of Determination ◽  
Fast Food Restaurant ◽  
Simple Linear Regression ◽  
The City

Lifestyle communities are growing, have an impact on people's lives in fulfilling his needs.One of them, namely the need for food. To meet the needs of the food, people are more likely to go to a fast-food restaurant or Cafe. Specifically for the cafe, at this time many cafes are there in the city of Bandung stand not only to put forward products are sold, but also very attentive to the comfort of a given place.The purpose of this research is to know the servicescape and its effect on customer satisfaction at the Eduplex in Bandung.The sample in this study i.e. as many as 117 people respondents with the method of analysis used a classic assumption test, i.e. an analysis of descriptive statistics, correlation and simple linear regression, simple, the coefficient of determination and test hypotheses.

Trip Generation at Fast–Food Restaurants in Johor Bahru, Malaysia

2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Ishtiaque Ahmed ◽  
Ahmed Abdulameer ◽  
Othman Che Puan ◽  
Anil Minhans
Keyword(s):  
Land Use ◽  
Fast Food ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Developed Countries ◽  
Public Works ◽  
Trip Generation ◽  
Local Data ◽  
Traffic Impact ◽  
Fast Food Restaurants

Trip Generation rates are important for transportation engineers and planners in the Travel Demand Forecasting process as well as for Traffic Impact Studies. Trip generation by a given land use type depends on one or more factors based on the socio-economic characteristics. The Institute of Transport Engineers (ITE) publishes and updates trip generation rates for different land use types at an interval of 2-3 years.  In Malaysia, the Ministry of Public Works publishes trip generation information and the latest edition was published in 2010. Both of these documents recommend that the published trip rates be verified with local data, if possible. Different researches have been conducted in the developed countries but very rare in Malaysia. This study developed trip generation rates at fast-food restaurants in Johor Bahru, Malaysia. Ten fast-food locations were studied in detail. Trip rates were related to the number of parking spaces and gross floor area. However, the trip rates did not depend on the Number of Seats in the restaurants. The trip rates found in this study were lower than the ITE Trip Generation and higher than the Malaysia Trip Generation Manuals.

scholarly journals Servicescape dan Pengaruhnya Terhadap Kepuasan Pelanggan: Studi Pada Konsumen Eduplex Bandung

2019 ◽  
Vol 5 (2) ◽  
pp. 16-27
Author(s):  
Azmi Mutia Ainun ◽  
Maya Setiawardani
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Fast Food ◽  
Descriptive Statistics ◽  
Coefficient Of Determination ◽  
Fast Food Restaurant ◽  
Simple Linear Regression ◽  
The City

Lifestyle communities are growing, have an impact on people's lives in fulfilling his needs.One of them, namely the need for food. To meet the needs of the food, people are more likely to go to a fast-food restaurant or Cafe. Specifically for the cafe, at this time many cafes are there in the city of Bandung stand not only to put forward products are sold, but also very attentive to the comfort of a given place.The purpose of this research is to know the servicescape and its effect on customer satisfaction at the Eduplex in Bandung.The sample in this study i.e. as many as 117 people respondents with the method of analysis used a classic assumption test, i.e. an analysis of descriptive statistics, correlation and simple linear regression, simple, the coefficient of determination and test hypotheses.

scholarly journals Pengaruh Customer Relationship Marketing dan Kualitas Layanan Terhadap Kepuasan : Studi Konsumen McDonald’s Kediri

2020 ◽  
Vol 5 (2) ◽  
pp. 224
Author(s):  
Nur Laely ◽  
Djunaedi Djunaedi ◽  
Dea Rosita
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Relationship Marketing ◽  
Customer Relationship Management ◽  
Fast Food ◽  
High School Education ◽  
Customer Relationship ◽  
Fast Food Restaurant ◽  
Independent Variables ◽  
Customer Relationship Marketing

McDonald's is a fast food restaurant that has a branch in Kediri. The restaurant currently has competitors that can reduce customer satisfaction. Therefore, the research conducted aims to determine the partial and simultaneous effects of using the independent variables Customer Relatioship Management and Service Quality and the dependent variable Customer Satisfaction. The sample used in this study was 93 respondents using the Slovin formula. Based on the results of the study, the characteristics of the dominant respondents at the age <20 years are female, the level of students whose income is <1 million in high school education and equivalent. Partially and simultaneously Customer Relationship Management and Service Quality, each of which has a significant influence on Customer Satisfaction. McDonald’s merupakan salah satu restoran cepat saji yang memiliki cabang di Kota Kediri. Restoran tersebut saat ini memiliki kompetitor yang dapat memberikan dampak penurunan kepuasan bagi para pelanggannya. Oleh sebab itu, dari penelitian yang dilakukan bertujuan untuk mengetahui pengaruh parsial dan pengaruh simultan dengan penggunaan variabel bebas Customer Relatioship Management dan Kualitas Layanan serta variabel terikat Kepuasan Pelanggan. Sampel yang digunakan pada penelitian ini sejumlah 93 responden menggunakan formula Slovin. Berdasarkan hasil penelitian, karakteristik responden dominan pada usia <20 tahun berjenis kelamin perempuan, tingkat pelajar/mahasiswa yang pendapatannya <1 juta pada pendidikan SMA sederajat. Secara parsial dan simultan Customer Relatioship Management dan Kualitas Layanan, masing – masing memiliki pengaruh signifikan terhadap Kepuasan Pelanggan.

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