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

scholarly journals Fighting for What? Couples’ Communication, Parenting and Social Activism: The Case Study of a “Christian-Muslim” Families’ Association in Brussels (Belgium)

Religions ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 270 ◽  
Author(s):  
Francesco Cerchiaro
Keyword(s):  
Social Role ◽  
Social Activism ◽  
Direct Consequence ◽  
Social Consequences ◽  
Cultural Backgrounds ◽  
The Social ◽  
Private And Public ◽  
Aims And Scope ◽  
The Public Sphere

Mixed families have historically been considered to be a direct consequence of a process of social and cultural integration of migrants within the host society, although this link has recently been problematized by scholars. By focusing on the case study of an association of “Christian-Muslim” families in Belgium, this article offers a better understanding of the social consequences of mixedness. The article seeks to shed light on the private and public life of the couples who are members of this association by answering the following research questions: Why do couples turn to this association? At what stages of their lives? What is the social role that the association aims to play in society? Using partners’ life stories and ethnographic observation gathered during the association’s meetings, the findings demonstrate how this association plays an important role at different levels and at different stages of a family’s life. The analysis will highlight that: (1) there is a specific aim to help new couples to face administrative, religious and cultural “obstacles” they encounter during the first period of their relationships, and (2) special meetings to discuss the challenge of parenting are at the core of the association’s activities. The “problem” of transmission requires of the couple further negotiations to find a way to balance their respective cultural backgrounds. These negotiations have to take into account the power misbalance within the Belgian hegemonic context. (3) The social activism of this association is an important aspect of its aims and scope. Some of the couples are active in countering a dominant stereotypical representation of mixed couples. They organize meetings and events to sensitize public opinion on interreligious dialogue, migration issues and the fight against racism. In this way, the association proposes itself as a new peculiar agent of social change in the public sphere.

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.

Land Use Impacts on Trip Generation Rates

1996 ◽  
Vol 1518 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Reid Ewing ◽  
Marybeth Deanna ◽  
Shi-Chiang Li
Keyword(s):  
Land Use ◽  
Travel Demand ◽  
Empirical Studies ◽  
A Priori ◽  
Service Level ◽  
Trip Generation ◽  
Land Use Impacts ◽  
Sociodemographic Variables ◽  
Transportation Service ◽  
Independent Effects

In the conventional four-step travel demand modeling process, the number of trips made by a household is modeled in terms of household size, income, and other sociodemographic variables; any effect of location, land use, or transportation service level is discounted. This is the same as discounting any effect of household accessibility to out-of-home activities as a factor in trip generation (accessibility depending on all three: location, land use, and transportation service level). In contrast to the practice of trip generation, theory tells us that trip rates must vary with accessibility, and some (not all) empirical studies have found that they do. In light of conflicting empirical studies, and the obvious need for more precise and policy-sensitive travel forecasts, this issue is revisited. The independent effects of land use and accessibility variables on household trip rates were tested for using data from Florida travel surveys. It was found that, after controlling for sociodemographic variables, residential density, mixed use, and accessibility do not have significant, independent effects on household trip rates. Conventional trip generation models, which generate person trips by vehicle (not by all modes) and do so without regard to residential location, may not be as bad as one would imagine a priori.

scholarly journals Trip Generations at “Polyclinic” Land Use Type in Johor Bahru, Malaysia

2014 ◽  
Vol 26 (6) ◽  
pp. 467-473
Author(s):  
Ishtiaque Ahmed ◽  
Suleiman Abdulrahman ◽  
Mohd Rosli Hainin ◽  
Sitti Asmah Hassan
Keyword(s):  
Land Use ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Regression Equations ◽  
Land Use Type ◽  
Trip Generation ◽  
Travel Demand Forecasting ◽  
Floor Area ◽  
Land Use Types ◽  
Best Fit

Transportation planners need to estimate the trip generations of different land use types in the travel demand forecasting process. The Trip Generation Manual of Malaysia, similar to the Trip Generation Manual of the Institute of Transportation Engineers, USA, provides the trip generation rate at “Polyclinics” as a function of the Gross Floor Area. However, the data for this rate have no line of best fit resulting in the lack of confidence in the prediction. This study considered ten locations in Malaysia and verified the significance of different parameters, i.e. Number of Doctors, Number of Staff, Gross Floor Area and Density of Similar Clinics within 0.5 kilometre radius in Johor Bahru, Malaysia. The study developed regression equations for estimating the peak hours and daily trips at polyclinics in terms of “Number of Doctors”. The developed models can be used in estimating the number of trips generated by the polyclinics in Johor Bahru, Malaysia.

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.

Development of Trip Generation Model: Case Study of Makarpura GIDC

2020 ◽  
Vol 05 (03) ◽  
pp. 18-27
Author(s):  
Shivangkumar Lad ◽  
L. B. Zala ◽  
Pinakin Patel
Keyword(s):  
Generation Model ◽  
Trip Generation ◽  
Model Case

Traffic Flow Forecasting Based on Land-Use Planning

2014 ◽  
Vol 945-949 ◽  
pp. 3260-3265
Author(s):  
Qing Liu ◽  
Jia Jia Zhang
Keyword(s):  
Land Use ◽  
Traffic Flow ◽  
Land Use Planning ◽  
Basic Data ◽  
Trip Generation ◽  
Population Number ◽  
Traffic Flow Forecasting ◽  
Economic Statistics

At present, Chinas urbanization is developing rapidly. Traffic construction is helpful to the development of urbanization, and traffic flow forecasting can provide guidance for traffic construction. The basic data that traffic flow forecasting needs relies on social and economic statistics, like population, number of jobs and so on. In areas where the level of urbanization is low, social and economic statistics is always unavailable. As for this, the paper proposed a model that using land-use planning to forecast the traffic flow. First we calculated peak hourly person times by multiplying acreage of traffic zones with peak hourly trip rate, then got trip generation and attraction of traffic zones which is basic data of traffic flow forecasting after appropriate conversion. The case study proved that the model is scientific and rational.

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