Transit-Oriented Urban Design Impacts on Suburban Land Use and Transportation Planning

2003 ◽  
Vol 1831 (1) ◽  
pp. 184-192 ◽  
Author(s):  
Frederick C. Dock ◽  
Carol J. Swenson

The relationship between urban form, as shaped through transit-oriented urban design, and transportation demand, as represented by regional travel demand forecasting model techniques, is investigated. The research from two studies is synthesized and, through development of travel demand forecasting model enhancements in the form of a subarea model and off-line estimation techniques, a link is sought between data analysis at the regional scale and urban design and land use strategies applied at the local and subregional scales. A methodology for aggregating individual transit-oriented development sites into a subregional growth scenario is described. Findings are reported from use of the subarea model to compare impacts of a transit-oriented growth scenario with a conventional growth scenario for a subregion of suburban communities.

2009 ◽  
Vol 65 (4) ◽  
pp. 503-518
Author(s):  
Ryo KANAMORI ◽  
Takayuki MORIKAWA ◽  
Toshiyuki YAMAMOTO ◽  
Tomio MIWA

Author(s):  
Ol'ga Lebedeva

Travel demand forecasting models are a key analysis tool used in planning the operation of the transport network and the development of infrastructure facilities. Relevant research within this topic is aimed at reducing the time and minimizing costs associated with developing a forecasting model for travel demand. The study evaluates the possibility of recovering an exact correspondence matrix based on an overloaded network, which takes into account the base / original matrix, traffic flow and their impact on the quality of the generated matrix. By means of the assessment, the admissible per-centage of deviation of the restored traffic flows, necessary for the development of a statistically significant correspondence matrix, has been determined.


Author(s):  
Ol'ga Lebedeva

Travel demand forecasting models are a key analysis tool used in transport network planning and infrastructure development. Relevant research within this topic is aimed at reducing the time and minimizing costs associated with the development of a forecasting model for travel demand, which is used for forecasting and planning. The study evaluates the possibility of recovering an exact correspondence matrix based on an overloaded network, which considers the conditions relative to the base / initial matrix, traffic flow and their impact on the quality of the generated matrix


2014 ◽  
Vol 26 (6) ◽  
pp. 467-473
Author(s):  
Ishtiaque Ahmed ◽  
Suleiman Abdulrahman ◽  
Mohd Rosli Hainin ◽  
Sitti Asmah Hassan

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.


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