Modeling Urban Freight Trip Generation for Pure Receiver Establishment

2021 ◽  
Author(s):  
Marimuthu Venkadavarahan ◽  
Sankaran Marisamynathan
Keyword(s):  
Trip Generation ◽  
Urban Freight

Implications of Activity Classification Aggregation in Urban Freight Trip Generation Linear Models

2019 ◽  
pp. 22-37 ◽  
Author(s):  
Ivan D. Sanchez-Diaz ◽  
Jesus Gonzalez-Feliu
Keyword(s):  
Data Collection ◽  
Linear Models ◽  
Statistical Significance ◽  
Detailed Data ◽  
Trip Generation ◽  
Commercial Activity ◽  
Urban Freight ◽  
Levels Of Detail ◽  
High Level

This chapter studies the implication of aggregating establishments by categories with different levels of detail for modeling FTG. To this effect, the chapter conducts an assessment of freight trip generation (FTG) patterns homogeneity inside activity-based grouping. The method implemented is econometric in nature, which allows the assessment of the statistical significance of variables representing commercial activity sectors and sub-sectors. The results show that for some sectors the traditional high-level aggregation includes sub-sectors with homogenous FTG patterns and thus produces appropriate models; in some other cases (e.g., retail, manufacturing), the sub-sectors have different FTG patterns and thus more detailed data is needed to calibrate accurate models. This research can be used to enhance the efficiency of data collection, as it identifies some sub-sectors that need larger efforts for data collection, and some other categories where FTG homogeneity allows for less detailed data collection without hampering the quality of the models.

scholarly journals Urban Freight Movement and Its Impact on Traffic Flow Pattern in Developing Countries

2020 ◽  
Vol 8 (5) ◽  
pp. 4966-4973
Keyword(s):  
Textile Industry ◽  
Stated Preference ◽  
Processing Unit ◽  
Trip Generation ◽  
Urban Freight ◽  
Unit Value ◽  
Internal Goods ◽  
Fabric Production ◽  
The City ◽  
Different Parts

Surat is one of the prime cities for the manufacturing of textile products in the country, having 40% of the man-made fabric production in the country. The city produces 30 million meters of raw fabric and 25 million meters of processed fabric daily. Textile industry in the city has witnessed tremendous growth in the last decade, which has led to much transportation related changes in the city. The textile industry of Surat has different segments such as weaving unit, processing unit, value addition and trading hub for carrying out various processes. The segments are located as clusters or pockets in different parts of the city or urban area. Due to the dis-integrated nature of the industry here, it produces a lot of internal goods movement. The present study is focused on analyzing the characteristics of textile fright trip generated in the city due to the initial unit of textile industry i.e. weaving unit. Stated preference survey was conducted for 122 weaving units located in different parts of the city. Multi-linear Regression model for trip generation and quantity of cloth produced is developed for estimation of textile freight trips and quantum of production. This study will definitely help the planner to identify the strategic location of the textile industry and allied supporting industry. This study further helps in understanding the trip generation and attraction in the city which affects on routine traffic as well.

Influence of urban form on urban freight trip generation

2020 ◽  
Vol 8 (1) ◽  
pp. 229-235
Author(s):  
Nilanjana De Bakshi ◽  
Geetam Tiwari ◽  
Nomesh B. Bolia
Keyword(s):  
Urban Form ◽  
Trip Generation ◽  
Urban Freight

ANALISIS MODEL KEBUTUHAN PERGERAKAN PENUMPANG DAN BARANG BANDARA RAHADI OESMAN KETAPANG

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
. Elsa Trimukti
Keyword(s):  
Growth Rate ◽  
Trend Analysis ◽  
Polynomial Regression ◽  
Air Transport ◽  
Trip Generation ◽  
Analysis Model ◽  
Exponential Regression ◽  
Share Model ◽  
Strategic Role ◽  
Analysis Models

Airport of Rahadi Oesman in Kabupaten Ketapang Kalimantan Barat represent the main and important gate for air transport in Kabupaten Ketapang, where this airport own the strategic role in service activities of this transportation even for domestic transportation or regional. Activity in Airport of Rahadi Oesman in a few this the last year has growth so fast growth, so that felt the infrastructure and also available facility in this time have is not adequate again to support the growth rate of air traffic in this airport. In the plan development of facility of air side and also land side of the airport require to be conducted an analysis model of trip generation or attraction of passenger and goods. These models need for the prediction of mount the growth of passenger and goods/cargo and estimate the amount of passenger and aircraft movement in the future pursuant to aircraft characteristic that to be used. The models used for prediction of passenger and goods in this study are Trend Analysis Models consisted of linear regression trend method, exponential regression trend method, and polynomial regression trend method. Besides model of trend analysis, in this study also analyzed Market Share Model. Result from third model then compared to one another to obtain the most appropriate model. Pursuant to analyses result obtained that the best or most appropriate model is Model of Trend Analysis.Model for the attraction passenger is Y = 21,18X2+ 6181X + 5788 by R2= 0,922.Model for the generation passenger is Y = 128,3X2+ 7515X + 4965 by R2= 0,907.Model for the passenger of transit is Y = 795X2+ 561X + 3361 by R2= 1Model for the cargo movement is Y = 2468X2+ 41054X 28341 by R2= 0,918.

Alternative Modelling to Estimate Freight Trip Generation

2020 ◽  
Author(s):  
Francisco Da Silva ◽  
Leise Kelli de Oliveira
Keyword(s):  
Trip Generation

Urban Structure, Trip Generation, and Pollution: A Review

1979 ◽  
Vol 9 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Bart D. Ostro ◽  
Joel L. Naroff
Keyword(s):  
Urban Structure ◽  
Trip Generation

Vehicle capacity selection for urban freight collecting and distribution operating

2020 ◽  
Author(s):  
Evgen Kush ◽  
Andrii Galkin ◽  
Vitaliy Voronko ◽  
Denis Ponkratov ◽  
Serhii Ostashevskyi ◽  
...  
Keyword(s):  
Urban Freight ◽  
Selection For ◽  
Capacity Selection ◽  
Vehicle Capacity
Sign in / Sign up

Export Citation Format

Share Document