Casual Relationship among Activity Participation, Travel Patterns and Bicycle Usage: Case Study of Suzhou

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Chen Yang ◽  
Wei Wang ◽  
Jian Lu ◽  
Guojun Jiang ◽  
Dan Li
Keyword(s):  
Activity Participation ◽  
Travel Patterns ◽  
Casual Relationship

Gender-Role Interaction in Activity Participation between Nuclear Household Heads: A Case Study of Suzhou

2012 ◽  
Vol 209-211 ◽  
pp. 735-741
Author(s):  
Jing Yao Zhao ◽  
Wei Wang ◽  
Min Yang
Keyword(s):  
Gender Role ◽  
Travel Behavior ◽  
Leisure Activity ◽  
Equation Model ◽  
Activity Participation ◽  
Male And Female ◽  
Structure Equation Model ◽  
Household Heads ◽  
Nuclear Household

Based on the 1235 cases of data collected in the survey of Suzhou, a structure equation model is developed to evaluate how gender-role interactions occur in two levels: attribute-activity and activity participation itself. The results show that those two kinds of interactions between two household heads do exist and strongly affect each other’s subsistence, maintenance and leisure activity participations. Household attributes and children’s age are found to have different effect on male and female heads. It indicates that one important reason for male and female differ in activity-travel behavior is that they receive different interactions in household from counterparts. As expected, those results show that different TDM policies should be made aiming at women and men. It will help to better reflect the behavioral responses of household heads to changes in demographic characteristics and to get a deeper understanding of gender difference in activity behavior in developing countries.

scholarly journals Emergence of Application Based Transportation and its Impacts on Travelling Trends: A Case Study of Lahore

2020 ◽  
Vol V (III) ◽  
pp. 214-229
Author(s):  
Hammna Jillani ◽  
Hesan Zahid ◽  
Nosheen Rasool
Keyword(s):  
Public Transportation ◽  
Structural Equation ◽  
Sharing Economy ◽  
Significant Shift ◽  
Travel Patterns ◽  
Female Population ◽  
The Sustainable Development ◽  
Equation Modelling ◽  
The Social

The urban transportation system impacts the sustainable development of a country. Ride sourcing is a transportation model that operates under the notion of sharing economy. This study attempts to identify the changes in travel patterns of the users, particularly female users and their access to space. Focusing on how for the women in Lahore, the mobility has changed? The data for this research has been collected from passengers and drivers of ride-sourcing in Lahore through structured questionnaires. Structural equation modelling (SEM) was used to do the econometric analysis of consumers and drivers. Main findings indicate that for females, there is a significant shift in travel patterns from conventional modes (family car, public transportation) towards ride-sourcing. The results indicate that Uber and Careem has improved mobility as women feel secure in ride-sourcing services compared to public transportation. The female population of Lahore have started taking more trips because of car availability. The paper also tries to calculate the carbon emissions of ride-sourcing. The increasing number of cars is contributing to the city's worsening air pollution as the concept of 'one person in one car' prevails. The social impacts are positive, where women have become more mobile and independent because of app-based transportation.

scholarly journals Analyzing Mega City-Regions through Integrating Urbanization and Eco-Environment Systems: A Case Study of the Beijing-Tianjin-Hebei Region

2019 ◽  
Vol 16 (1) ◽  
pp. 114 ◽  
Author(s):  
Li Tian ◽  
Gaofeng Xu ◽  
Chenjing Fan ◽  
Yue Zhang ◽  
Chaolin Gu ◽  
...  
Keyword(s):  
High Speed ◽  
Environmental Issues ◽  
Ecological Systems ◽  
Groundwater Depletion ◽  
Rapid Urbanization ◽  
City Regions ◽  
External Forces ◽  
Internal And External Factors ◽  
Casual Relationship

The high-speed economic growth of mega city-regions in China has been characterized by rapid urbanization accompanied by a series of environmental issues ranging from widespread soil contamination to groundwater depletion. This article begins with an analysis of the interaction between urbanization and the ecological system and reviews existing frameworks for analyzing urban and ecological systems. By taking the Beijing-Tianjin-Hebei region as an example, the article introduces a conceptual framework to analyze mega city-regions and forecast possible interactions between urbanization and eco-environment by applying simulation model. The proposed framework and its components can provide guidance to identify the impacts of urbanization and external forces such as globalization on eco-environment by integrating the internal and external factors, synthesize the complex components of mega city-regions in databases, understand and diagnose the casual relationship between urban policies and ecological consequences.

scholarly journals Environmental assessment of plug-in hybrid electric vehicles using naturalistic drive cycles and vehicle travel patterns: A Michigan case study

Energy Policy ◽  
2013 ◽  
Vol 58 ◽  
pp. 358-370 ◽  
Author(s):  
Brandon M. Marshall ◽  
Jarod C. Kelly ◽  
Tae-Kyung Lee ◽  
Gregory A. Keoleian ◽  
Zoran Filipi
Keyword(s):  
Electric Vehicles ◽  
Environmental Assessment ◽  
Hybrid Electric Vehicles ◽  
Travel Patterns ◽  
Hybrid Electric

A case study of the US mountain bike tourism market

2019 ◽  
Vol 25 (4) ◽  
pp. 515-527 ◽  
Author(s):  
Richard J Buning ◽  
Zachary Cole ◽  
Matthew Lamont
Keyword(s):  
United States ◽  
Online Survey ◽  
Tourism Development ◽  
The United States ◽  
Market Development ◽  
Travel Patterns ◽  
Mountain Bike ◽  
Middle Aged ◽  
The Us

Communities and regions throughout the United States are investing in the development and enhancement of requisite resources to leverage the growth of mountain bike tourism. However, an understanding of mountain bike tourists’ demographics, travel patterns, trip behaviors, and expenditures is lacking, thereby hampering product and market development efforts. The purpose of this study was to explore the demographics, travel preferences, and travel behaviors of US mountain bike tourists. Through an online survey hosted on a popular mountain bike website, a sample of US mountain bike tourists ( N = 810) was gathered. Data revealed that mountain bike tourists are predominately middle-aged affluent males who take an average of five short-break trips annually of about 400 miles per trip during the spring and summer months, and in the process spend approximately US$400 per trip. Stemming from the results, implications for mountain bike tourism development are discussed.

scholarly journals Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China

2021 ◽  
Vol 10 (4) ◽  
pp. 268
Author(s):  
Chaoyang Shi ◽  
Qingquan Li ◽  
Shiwei Lu ◽  
Xiping Yang
Keyword(s):  
Travel Time ◽  
Human Mobility ◽  
Information Criterion ◽  
Travel Speed ◽  
Distribution Functions ◽  
Travel Distance ◽  
Model Fit ◽  
Travel Patterns ◽  
Distance Travel

Modeling the distribution of daily and hourly human mobility metrics is beneficial for studying underlying human travel patterns. In previous studies, some probability distribution functions were employed in order to establish a base for human mobility research. However, the selection of the most suitable distribution is still a challenging task. In this paper, we focus on modeling the distributions of travel distance, travel time, and travel speed. The daily and hourly trip data are fitted with several candidate distributions, and the best one is selected based on the Bayesian information criterion. A case study with online car-hailing data in Xi’an, China, is presented to demonstrate and evaluate the model fit. The results indicate that travel distance and travel time of daily and hourly human mobility tend to follow Gamma distribution, and travel speed can be approximated by Burr distribution. These results can contribute to a better understanding of online car-hailing travel patterns and establish a base for human mobility research.

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