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You searched for subject:(trip attraction). Showing records 1 – 2 of 2 total matches.

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Addis Ababa University

1. Tseday, Tesfahun. GIS based spatial investigation and modeling of Road network structure in Addis Ababa City .

Degree: 2014, Addis Ababa University

This project designed aiming for equitable road network structure for both people of urban and peripheral areas. In order to investigate road network structure, the research employed GIS techniques and some statistical analysis by Trans-CAD for cross sectional efficiency of the system. Types of data i.e. data obtained through methods such as, socio economic data, land use map, current road network and master plan road network. The result of this project indicated that road density, higher trip production and attraction is exhibited in the central areas (characterized by high population and important socioeconomic activities of the city including freight terminals, service centers and schools). As settlements in Addis Ababa are mainly established along the road network, the road length per unit person in the central areas is found to be low. Proximity to the roads within the central areas is less than 500m, allowing more people to access these roads. However, in the periphery, people have to travel more than 1km to access the existing road infrastructure, indicating the inadequacy of the system. The Mobility Index indicated that have high values in the South-East and Western parts of the city. The overall conclusion obtained from the indicators show that there is less road infrastructure in the peripheral regions of the city and the central area clearly has a capacity limitation. Advisors/Committee Members: K.N.Singh(PhD) (advisor).

Subjects/Keywords: Central Business District; Mobility Index; Proximity; Trip production and Trip Attraction.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tseday, T. (2014). GIS based spatial investigation and modeling of Road network structure in Addis Ababa City . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/5475

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tseday, Tesfahun. “GIS based spatial investigation and modeling of Road network structure in Addis Ababa City .” 2014. Thesis, Addis Ababa University. Accessed January 18, 2021. http://etd.aau.edu.et/dspace/handle/123456789/5475.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tseday, Tesfahun. “GIS based spatial investigation and modeling of Road network structure in Addis Ababa City .” 2014. Web. 18 Jan 2021.

Vancouver:

Tseday T. GIS based spatial investigation and modeling of Road network structure in Addis Ababa City . [Internet] [Thesis]. Addis Ababa University; 2014. [cited 2021 Jan 18]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/5475.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tseday T. GIS based spatial investigation and modeling of Road network structure in Addis Ababa City . [Thesis]. Addis Ababa University; 2014. Available from: http://etd.aau.edu.et/dspace/handle/123456789/5475

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Florida

2. Rana, Tejsingh. Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis.

Degree: 2010, University of South Florida

TBEST is a comprehensive third generation transit demand forecasting model, developed by the FDOT Public Transit Office (PTO) to help transit agencies in completing their Transit Development Plans (TDPs). The on-going project funded by FDOT, related to TBEST, aims at further enhancing the capabilities of the TBEST model based on additional opportunities identified by the research team. The project focuses on enhancing TBEST’s capabilities in following areas: 1) Improving the precision of socio- demographic data by using property appraisal data (parcel data) and, 2) Improving the quality of data regarding trip attraction. Based on the improvement areas, this study aims at performing an exploratory analysis to 1) Identify the differences in activity levels (population and employment) within transit stop buffers due to change in input data i.e. from aggregate census data to disaggregate parcel data. 2) Explore various strategies (development of employment based trip attraction and, parcel land use based trip attraction and exploring how special generators are dealt with in the past studies) to enhance the trip attraction capability of the TBEST model. The results obtained from this analysis provide insights on the strategies and helps define suggestions to further enhance the precision of TBEST model. The results show that use of parcel level data improves the accuracy in capturing the activity levels within the catchment area of each stop. The results also suggest use of parcel land use based trip attraction for stops with special generators or use of interaction variable (interaction between special generator dummy and size (square footage etc.) of the special generator) to enhance the trip attraction capability of the TBEST model.

Subjects/Keywords: transit demand modeling; trip rates; special generator; trip attraction; American Studies; Arts and Humanities; Civil Engineering; Environmental Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rana, T. (2010). Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/3468

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rana, Tejsingh. “Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis.” 2010. Thesis, University of South Florida. Accessed January 18, 2021. https://scholarcommons.usf.edu/etd/3468.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rana, Tejsingh. “Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis.” 2010. Web. 18 Jan 2021.

Vancouver:

Rana T. Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis. [Internet] [Thesis]. University of South Florida; 2010. [cited 2021 Jan 18]. Available from: https://scholarcommons.usf.edu/etd/3468.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rana T. Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis. [Thesis]. University of South Florida; 2010. Available from: https://scholarcommons.usf.edu/etd/3468

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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