Author: Kuo-Shian LinPublisher:
ISBN:
Category :
Languages : en
Pages : 386
Book Description
Improving Transportation Emissions Modeling by Integrating Ground Counts with Travel Demand Model Forecasts
Author: Kuo-Shian LinIntegrated Transportation and Land Use Forecasting
Author: Stephen H. PutmanPublisher:
ISBN:
Category : Land use
Languages : en
Pages : 128
Book Description
Disaggregating Period-based Travel Demand Model Volumes Into Hourly Volumes
Author: Jaimee Dawn HicksImproving Transportation Data for Mobile Source Emission Estimates
Author: Arun ChatterjeePublisher: Transportation Research Board
ISBN: 9780309060660
Category : Air
Languages : en
Pages : 140
Book Description
Travel Demand Forecasting: Parameters and Techniques
Author: Publisher: Transportation Research Board
ISBN: 0309214009
Category : Traffic estimation
Languages : en
Pages : 170
Book Description
TRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.
An Integrated Approach Linking Land Use and Socioeconomic Characteristics for Improving Travel Demand Forecasting
Author: Shalini DasigiPublisher:
ISBN:
Category :
Languages : en
Pages : 71
Book Description
Travel networks are the backbone of an economy. The urban structure relies heavily on transport systems to grow and interact with the environment. They play an important role in shaping the land use of a region as mobility is instrumental in the process of location choice for residential and non-residential developments. However, land use changes are also governed by economic, governmental and environmental factors besides accessibility and hence, they indirectly affect transport systems too. Therefore, the ability to predict interactions between future land use and social economy for travel demand forecasting is of tremendous significance from the planning perspective. Among widely applied land use models, UrbanSim is gaining edge over others, being an open source system that models changes in spatial characteristics of the households and jobs in accordance with changing travel accessibilities and land prices. It allows for land use change simulation at varied geographic resolutions at parcel level and zone level. While the parcel-level version has been the most widely used in planning for its capability of featuring location-based socioeconomic factors at a disaggregate level, its intense data requirements also pose a big challenge or an extreme difficulty to validation efforts in practice. The relatively less-implemented zone-version of UrbanSim simulates household and employment changes at an aggregated Traffic Analysis Zone (TAZ) level with a relatively lesser data demand. However, the zone version does not account for the land use effect into the modeling approach directly. Instead, it uses only zoning data in one of the input tables in order to calculate development capacities in zones. But such zoning plans are only regulations to preserve land use and are not exactly representative of the actual land use at a location. The aim of this study was to overcome this weakness of the zone-version of UrbanSim with lack of focus on spatial effect of land use changes on social economy of each TAZ. This was achieved by linking future land use forecast data with UrbanSim input, while a travel model is used to generate traffic feedback in evaluating the spatial allocation of forecasted jobs and households. This proof-of-concept study was performed with the target at work describing an effort of integrated land use and transportation modeling for the Hamilton County of Ohio through year 2020 using the data sets that were provided mainly from the Ohio-Kentucky-Indiana Regional Council of Governments (OKI), in the Greater Cincinnati area, Ohio. The land use forecasting analysis was carried out with IDRISI Taiga module, a GIS and image processing model that could be validated with the land use datasets available at most Metropolitan Planning Organizations (MPOs)' databases. A VISUM travel model was used for travel accessibility inputs.
Modeling Urban Transportation Emissions and Energy Use
Author: Biennial Report
Author: University of California, Davis. Institute of Transportation StudiesPublisher:
ISBN:
Category : Transportation
Languages : en
Pages : 54
Book Description
Beyond Uncertainty
Author: Caroline RodierPublisher:
ISBN:
Category : Air quality management
Languages : en
Pages : 74
Book Description
Concerned citizens across the United States are increasingly asking officials about the effects of proposed new highways and their alternatives, such as transit and road pricing, on how their communities will grow, the air their children will breathe, and the amount of time they will have to spend in traffic commuting to work. It is widely acknowledged, however, that the models used to assess these effects have limited accuracy and sensitivity to alternatives to highway expansion. This study attempts to move beyond the issues of uncertainty in models used to forecast the travel, land use, and air quality effects of transportation projects and policies by (1) reviewing the literature on error and uncertainty in travel and land use models to understand key sources, likely confidence bounds, and potential biases; (2) conducting interviews with modeling experts to gain insight into how uncertain models may be improved and better applied in transportation studies; and (3) presenting a series of cases studies that illustrate innovative and, possibly, more credible approaches to modeling given different study objectives, model capability, and knowledge of model uncertainty.
An Integrated Multi-model Approach for Predicting the Impact of Household Travel on Urban Air Quality and Simulating Population Exposure
Author: Marianne HatzopoulouPublisher:
ISBN: 9780494580066
Category : Air
Languages : en
Pages : 718
Book Description
The population and economic growth experienced by Canadian metropolitan areas in the past twenty years, has been associated with increased levels of car ownership and vehicle kilometres travelled leading to a deterioration of air quality and public health and an increase in greenhouse gas emissions. The need to modify urban growth patterns has motivated planning agencies in Canada to develop a broad range of policies aiming at achieving a more sustainable transportation sector. The challenge however, remains in the ability to test the effectiveness of proposed policy measures. This situation has led to a renewed interest in integrated land-use and transport models to support transport policy appraisal. This research is motivated by the need to improve transport policy appraisal through the use of integrated land-use and transport models linked with a range of sub-models that can reflect transport externalities. This research starts with an exploration of the transport policy environment in Canada through a questionnaire-based survey conducted with planners and policy-makers. The survey results highlight the need for tools reflecting the sustainability impacts of proposed policies. While the second part of this research explores sustainability indicators and recommends a set of social, economic, and environmental measures, linked with integrated land-use and transport models; effort is dedicated to estimate the environmental indicators as part of this thesis. As such, the third part of this research involves the development of an emission-dispersion-exposure modelling framework. The framework includes a suite of sub-models including an activity-based travel demand model (TASHA), an emission factor model (Mobile6.2C), a meteorological model (CALMET), and a dispersion model (CALPUFF). The framework is used to estimate link-based emissions of light-duty vehicles in the Greater Toronto Area under a base scenario for 2001. Dispersion of emissions is then conducted and linked with population in order to estimate exposure to air pollution.