DEVELOPMENT OF AN INTEGRATED TRAVEL DEMAND FORECASTING MODEL FOR COMPREHENSIVE TRANSPORT STRATEGY

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

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
Keyword(s):  
Land Use ◽  
Urban Design ◽  
Travel Demand ◽  
Regional Scale ◽  
Demand Forecasting ◽  
Forecasting Model ◽  
Oriented Growth ◽  
Travel Demand Forecasting ◽  
Demand Forecasting Model ◽  
Growth Scenario

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.

scholarly journals METHODOLOGY FOR RECOVERY OF CORRESPONDENCE MATRICES TAKING INTO ACCOUNT TRANSPORT FLOW RESTRICTIONS

2021 ◽  
Vol 2021 (1) ◽  
pp. 121-124
Author(s):  
Ol'ga Lebedeva
Keyword(s):  
Travel Demand ◽  
Demand Forecasting ◽  
Forecasting Model ◽  
Analysis Tool ◽  
Traffic Flows ◽  
Relevant Research ◽  
Original Matrix ◽  
Travel Demand Forecasting ◽  
Transport Flow

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.

scholarly journals EVALUATION OF CORRESNDENCE MATRICES TAKING INTO ACCOUNT TRANSPORT FLOW RESTRICTIONS

2021 ◽  
Vol 1 (1) ◽  
pp. 183-184
Author(s):  
Ol'ga Lebedeva
Keyword(s):  
Travel Demand ◽  
Demand Forecasting ◽  
Forecasting Model ◽  
Analysis Tool ◽  
Infrastructure Development ◽  
Relevant Research ◽  
Initial Matrix ◽  
Travel Demand Forecasting ◽  
Transport Flow

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

scholarly journals Investigating the Minimum Size of Study Area for an Activity-Based Travel Demand Forecasting Model

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Qiong Bao ◽  
Yongjun Shen ◽  
Lieve Creemers ◽  
Bruno Kochan ◽  
Tom Bellemans ◽  
...  
Keyword(s):  
Travel Demand ◽  
Demand Forecasting ◽  
Computation Time ◽  
Minimum Size ◽  
Modeling Framework ◽  
Travel Demand Forecasting ◽  
Geographical Unit ◽  
Microsimulation Modeling ◽  
Demand Forecasting Model

Nowadays, considerable attention has been paid to the activity-based approach for transportation planning and forecasting by both researchers and practitioners. However, one of the practical limitations of applying most of the currently available activity-based models is their computation time, especially when large amount of population and detailed geographical unit level are taken into account. In this research, we investigated the possibility of restraining the size of the study area in order to reduce the computation time when applying an activity-based model, as it is often the case that only a small territory rather than the whole region is the focus of a specific study. By introducing an accuracy level of the model, we proposed in this research an iteration approach to determine the minimum size of the study area required for a target territory. In the application, we investigated the required minimum size of the study area surrounding each of the 327 municipalities in Flanders, Belgium, with regard to two different transport modes, that is, car as driver and public transport. Afterwards, a validation analysis and a case study were conducted. All the experiments were carried out by using the FEATHERS, an activity-based microsimulation modeling framework currently implemented for the Flanders region of Belgium.

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