A Latent Class Pattern Recognition and Data Quality Assessment of Non-Commute Long-Distance Travel in California

2018 ◽  
Vol 2672 (42) ◽  
pp. 71-80 ◽  
Author(s):  
Adam W. Davis ◽  
Elizabeth C. McBride ◽  
Konstadinos G. Goulias
Keyword(s):  
Latent Class ◽  
Substantial Contribution ◽  
Long Distance ◽  
Explanatory Variables ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Data Quality Assessment ◽  
Household Travel ◽  
Distance Travel ◽  
Long Distance Travel

This study analyzes 8-week long-distance travel records from the California Household Travel Survey for completeness and identifies general types of non-commute long-distance tours using Latent Class Analysis. Likely due to the difficulty of gathering data of this kind, there has been relatively limited study of non-commute long-distance travel, despite the substantial contribution to many households’ greenhouse gas emissions and travel expenses. The California Household Travel Survey includes a valuable long-distance 8-week travel dataset, but this study identifies several possible shortcomings in the dataset. Of particular importance is a severe underreporting of shorter trips, which may result from a mix of respondent forgetfulness and survey fatigue. Despite the issues with the data, latent class cluster analysis was able to identify five distinct, informative patterns of long-distance travel. This analysis shows that long-distance tours for vacation, business travel, medical, and shopping are substantially distinct in terms of their travel characteristics and correspond to different combinations of other activities in the tour, and they are done by different types of households. The method used here to identify the typology of long-distance travel can be easily expanded to include a variety of other explanatory variables of this type of behavior in more focused data collection settings.

Person-Based Micro-Simulation Demand Model for National Long-Distance Travel in the U.S.A.

2020 ◽  
Vol 2674 (6) ◽  
pp. 297-309
Author(s):  
Lei Zhang ◽  
Yijing Lu ◽  
Sepehr Ghader ◽  
Carlos Carrion ◽  
Arash Asadabadi ◽  
...  
Keyword(s):  
Large Scale ◽  
Travel Demand ◽  
Demand Model ◽  
Long Distance ◽  
Fuel Price ◽  
Travel Survey ◽  
Passenger Travel ◽  
Micro Simulation ◽  
Distance Travel ◽  
Long Distance Travel

As the nation and various states engage in funding transportation infrastructure improvements to meet future long-distance passenger travel demand, it is imperative to develop effective and practical modeling methods for analysis of long-distance passenger travel. Evaluating national-level infrastructure improvements requires a reliable analysis tool to model the demand for long-distance travel. The national travel demand model presented in this paper implements a person-level tour-based micro-simulation approach for modeling individuals’ long-distance or national activities in the U.S.A. This paper reviews the model framework, explains the model calibration, and presents applications of the model for policy evaluation and demand prediction. The model was estimated using the latest long-distance travel survey in the U.S.A., which is the 1995 American Travel Survey. As the estimation data is old, and no new long-distance travel survey with appropriate sample size is available to re-estimate the model, model calibration is the solution used to update the model and make it capable of capturing up-to-date travel patterns. Calibrating such a large-scale model can be challenging, because each calibration iteration is very costly. This paper describes the calibration effort conducted on the national long-distance micro-simulation model to showcase how a large-scale travel demand model can be calibrated efficiently. A fuel price scenario is analyzed to show how the national travel demand will change under a national fuel price increase scenario in the future year 2040. Another scenario analysis corresponding to construction of high-speed rail (HSR) is conducted to observe the effects of adding a HSR system to the northeast corridor on travel demand from a national perspective.

scholarly journals Classifying Car Owners in Latent Psychographic Profiles

2021 ◽  
pp. 036119812199483
Author(s):  
Sascha von Behren ◽  
Lisa Bönisch ◽  
Jan Vallée ◽  
Peter Vortisch
Keyword(s):  
Travel Behavior ◽  
Urban Areas ◽  
Latent Class ◽  
Car Ownership ◽  
Long Distance ◽  
Policy Makers ◽  
Sustainable Solutions ◽  
Target Profile ◽  
Distance Travel ◽  
Long Distance Travel

Policy makers in urban areas are subjected to increasing pressure to find sustainable solutions to congestion and transportation. A detailed understanding of the motivations of car owners is required to enable the development of policies that are both socially fair and take effective measures. The objective of this study is to provide a more granular differentiation of car owners using psychographic profiles in three basic dimensions (privacy, autonomy, and car excitement). These profiles are also examined in relation to general travel behavior in everyday and long-distance travel. Data was collected in Munich and Berlin (Germany) and a latent class analysis was applied to segment respondents into latent profile classes. On this basis, six different profile classes were identified. In addition to the Car Independents profile class which does not have strong orientations toward the car, several profile classes were also identified with high concerns about “privacy” in relation to social distances in public transit. The information and analysis presented enables a deeper understanding of the motivations of the different target profile classes and discusses the need for tailored, socially fair measures to reduce car ownership and use within these groups.

Long-Distance Travel for HIV-Related Care—Burden or Choice?: A Mixed Methods Study in Tanzania

2021 ◽  
Author(s):  
Virginia A. Fonner ◽  
David Geurkink ◽  
Faraja Chiwanga ◽  
Ismail Amiri ◽  
Samuel Likindikoki
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Study ◽  
Long Distance ◽  
Care Burden ◽  
Distance Travel ◽  
Long Distance Travel

scholarly journals Low-carbon scenarios for long-distance travel 2060

2021 ◽  
Vol 99 ◽  
pp. 103010
Author(s):  
Jonas Åkerman ◽  
Anneli Kamb ◽  
Jörgen Larsson ◽  
Jonas Nässén
Keyword(s):  
Low Carbon ◽  
Long Distance ◽  
Distance Travel ◽  
Long Distance Travel

scholarly journals Harassment of women garment workers in Bangladesh

1970 ◽  
Vol 8 (2) ◽  
pp. 291-296 ◽  
Author(s):  
F Begum ◽  
RN Ali ◽  
MA Hossain ◽  
Sonia B Shahid
Keyword(s):  
Women Workers ◽  
Working Hours ◽  
Job Dissatisfaction ◽  
Long Distance ◽  
Long Working Hours ◽  
Garment Workers ◽  
Female Workers ◽  
Garment Factories ◽  
Distance Travel ◽  
Long Distance Travel

The study analyzed the different factors that are responsible for the harassment of women garment workers in Bangladesh. Three garment factories from Mirpur area under Dhaka district were selected purposively where garment factories are available. The sample consisted of 90 women workers taking 30 randomly from each of the three garment factories. Female workers are mostly employed at the lower category of jobs like operator, finishing helper, polyer etc. These jobs are very monotonous in nature. Because of the nature of their jobs, female workers sometimes lose interest in work and become depressed. A large number of female workers received low and irregular wages which create their job dissatisfaction. Only 22 female workers earned salary between Tk. 2700 to Tk. 3000 per month. Female workers are sexually harassed by their co-workers in the factory or by police or by mastans in the street. Communication problem is a major problem faced by most of the female garment workers. A long distance travel is not only physical strenuous but also mentally stressful. Their overtime rate is very low. Long working hours result in a number of illnesses and diseases like headache, eye trouble, ear ache, musculoskeletal pain etc. Women are exploited easily due to lack of technical knowledge and training. The employers do not pay any heed to this exploitation. Keywords: Garment industry; Women workers; Harassment DOI: 10.3329/jbau.v8i2.7940 J. Bangladesh Agril. Univ. 8(2): 291-296, 2010   

Does Investing in Rail Transit Benefit the Poor? A Comparative Study of Rail and Bus Travel by Low-Income Households in the California Household Travel Survey

2018 ◽  
Vol 2672 (6) ◽  
pp. 11-20
Author(s):  
Ryland Lu
Keyword(s):  
Low Income ◽  
Household Income ◽  
Bus Rapid Transit ◽  
Rail Transit ◽  
Rapid Transit ◽  
Travel Survey ◽  
Household Travel Survey ◽  
The Poor ◽  
Household Travel ◽  
Low Income Households

This paper addresses academic discourse that critiques urban rail transit projects for their regressive impacts on the poor and proposes bus funding as a more equitable investment for urban transit agencies. The author analyzed data from the 2012 California Household Travel Survey on transit trips in Los Angeles County. The author cross-tabulated data on the modal breakdown of transit trips by household income category and on the breakdown of household income associated with trips by bus and rail transit modes. The author also comparatively evaluated the speed of trips (as a ratio of miles per hour) taken by rail and by bus by low-income households in the county. The author found convincing evidence that, on average, trips low-income households made by rail transit covered a greater distance per hour than trips taken by bus transit, but that trips made on the county’s bus rapid transit services with dedicated rights-of-way had a higher mean speed than those taken by rail. Moreover, the mode and income cross-tabulations indicate that rail transit projects only partially serve low-income households’ travel needs. To the extent that equitable transit planning entails minimizing the disparities in access, both rail and bus rapid transit projects can advance social justice if they are targeted at corridors where they can serve travel demand by low-income, transit dependent households.

scholarly journals Mode use in long-distance travel

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Alexander Reichert ◽  
Christian Holz-Rau
Keyword(s):  
Long Distance ◽  
Distance Travel ◽  
Long Distance Travel
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