نتایج جستجو برای: travel mode

تعداد نتایج: 266229  

2008
Shaunna K. Burbidge Wellington Street Konstadinos G. Goulias

Paper is submitted for Presentation at the 88 th Annual Meeting of the Transportation Research Board only. This paper has been submitted for publication in Transportation Letters (July 2008) and therefore does not conform to the word count and citation requirements specified for publication in the Transportation Research Record. ABSTRACT Physical inactivity has become a dominant feature of most...

Journal: :J. Riga Technical University 2011
Nadezda Zenina Arkady Borisov

Mode choice analysis has received the most attention among discrete choice problems in travel behavior literature. Most traditional mode choice models are based on the principle of random utility maximization derived from econometric theory. This paper investigates performance of mode choice analysis with classification methods decision trees, discriminant analysis and multinomial logit. Experi...

2013
Sohel Rana Fahim Hossain Shuvangkor Shusmoy Roy Suman Kumar Mitra

The paper contains primary data based analysis on the role played by Battery Operated Auto-rickshaws in urban transportation system. Different aspects of battery operated auto-rickshaw, such as energy consumption rate, transport related emission attenuation rate, potentials of generating income and employment, trip characteristics, problems associated etc have been explored with a view to provi...

2006
Abdul Rawoof Pinjari

It is important to accommodate variations in responsiveness (or response heterogeneity) to level of service attributes in travel mode choice models. This response heterogeneity may be disaggregated into a systematic (observed) component and a random (unobserved) component. Earlier studies have typically considered systematic response heterogeneity by examining differences in LOS response sensit...

2016
John E. Haddock Matthew G. Karlaftis Fred L. Mannering Charles Pankow

The traditional approach to urban travel analysis includes a detailed and complex modeling system that considers activity/trip generation (including time-of-day of trip) and destination, mode, and route choices. While the insights that one can gain from such a comprehensive approach are undeniable, a more simplistic approach that focuses on travel time alone (which by its nature will implicitly...

2014
Md. Kamruzzaman G. Currie G. Turrell

The global financial crisis (GFC) in 2008 rocked economies around the world. Several intermediate outcomes of the GFC included loss of jobs and reduced income. Relatively little research has, however, examined the impacts of the GFC on individual level travel behaviour change. To address this shortcoming, HABITAT panel data were employed to estimate a multinomial logit model to examine mode swi...

Journal: :Health education research 2008
Li Ming Wen Denise Fry Chris Rissel Helen Dirkis Angela Balafas Dafna Merom

In this study, we examined factors associated with children being driven to school. Participants were 1603 students (aged 9-11 years) and their parents from 24 public primary schools in inner western Sydney, Australia. Students recorded their modes of travel to and from school for 5 days in a student survey. Parents recorded their demographic data, their attitudes to travel, and their modes of ...

2003
David Boyce Hillel Bar-Gera

The formulation, estimation, and validation of combined models for making detailed urban travel forecasts are described. These models combine origin-destination, mode, and auto route choices into a consistent forecasting method for multiple user classes for the Chicago Region. Household Travel Survey and Census Transportation Planning Package data for 1990, respectively, are used to estimate an...

2014
Katherine Ellis Suneeta Godbole Simon Marshall Gert Lanckriet John Staudenmayer Jacqueline Kerr

BACKGROUND Active travel is an important area in physical activity research, but objective measurement of active travel is still difficult. Automated methods to measure travel behaviors will improve research in this area. In this paper, we present a supervised machine learning method for transportation mode prediction from global positioning system (GPS) and accelerometer data. METHODS We col...

2016
Sharoda Dasgupta Michael R Kramer Eli S Rosenberg Travis H Sanchez Patrick S Sullivan

BACKGROUND No existing measures of HIV care access consider both spatial proximity to services and provider-related characteristics in a single measure. We developed and applied a tool to: (1) quantify spatial access to HIV care services (supply) and (2) identify underserved areas with respect to HIV cases (demand), by travel mode, in Atlanta. METHODS Building on a study of HIV care engagemen...

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