An Analysis of the Travel Patterns of Pilgrimage Groups in Lhasa Tibet

2020 ◽  
pp. 811-826
Author(s):  
Gang Cheng ◽  
Shu-zhi Zhao ◽  
Zong Wang
Keyword(s):  
Travel Patterns

Women at Work: Innkeeping in the Highlands and Islands of Scotland 1790–1840

2017 ◽  
Vol 37 (2) ◽  
pp. 155-176 ◽  
Author(s):  
Theresa Mackay
Keyword(s):  
Rural Women ◽  
Popular Fiction ◽  
Travel Patterns ◽  
Economic Diversity

Between 1790 and 1840 Scotland's Highlands and Islands saw a rise in the number of travellers due to transportation changes, war on the Continent, and popular fiction. Consequently, the number of inns increased in response to this shift in local travel patterns and influx of visitors. By examining where the growth in inns happened, who managed them, and what services were offered, this article argues that the Highlands and Islands economy was both complex and commercial. It establishes that rural women were innkeepers of multifaceted hospitality operations responding to market demands and enabling economic diversity in their communities, the result of which was the hospitality infrastructure for tourism.

A Novel Approach to Reveal Travel Patterns of City Residents Based on Mobile Internet Locating Data

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Shaocheng Jia ◽  
Yun Yue ◽  
Zi Yang ◽  
Xin Pei ◽  
Yao Lu
Keyword(s):  
Mobile Internet ◽  
Travel Patterns ◽  
Novel Approach

scholarly journals Analysing the impact of the COVID-19 outbreak on everyday travel behaviour in Germany and potential implications for future travel patterns

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Viktoriya Kolarova ◽  
Christine Eisenmann ◽  
Claudia Nobis ◽  
Christian Winkler ◽  
Barbara Lenz
Keyword(s):  
Public Transport ◽  
Online Survey ◽  
Adult Population ◽  
Activity Patterns ◽  
Age Groups ◽  
Travel Behaviour ◽  
German Population ◽  
Travel Patterns ◽  
Home Office ◽  
The Impact

Abstract Introduction The global Coronavirus (COVID-19) pandemic is having a great impact on all areas of the everyday life, including travel behaviour. Various measures that focus on restricting social contacts have been implemented in order to reduce the spread of the virus. Understanding how daily activities and travel behaviour change during such global crisis and the reasons behind is crucial for developing suitable strategies for similar future events and analysing potential mid- and long-term impacts. Methods In order to provide empirical insights into changes in travel behaviour during the first Coronavirus-related lockdown in 2020 for Germany, an online survey with a relative representative sample for the German population was conducted a week after the start of the nationwide contact ban. The data was analysed performing descriptive and inferential statistical analyses. Results and Discussion The results suggest in general an increase in car use and decrease in public transport use as well as more negative perception of public transport as a transport alternative during the pandemic. Regarding activity-related travel patterns, the findings show firstly, that the majority of people go less frequent shopping; simultaneously, an increase in online shopping can be seen and characteristics of this group were analysed. Secondly, half of the adult population still left their home for leisure or to run errands; young adults were more active than all other age groups. Thirdly, the majority of the working population still went to work; one out of four people worked in home-office. Lastly, potential implications for travel behaviour and activity patterns as well as policy measures are discussed.

scholarly journals COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong

2021 ◽  
Vol 106 ◽  
pp. 173-184
Author(s):  
Ho-Yin Chan ◽  
Anthony Chen ◽  
Wei Ma ◽  
Nang-Ngai Sze ◽  
Xintao Liu
Keyword(s):  
Public Policy ◽  
Hong Kong ◽  
Community Response ◽  
Travel Patterns

Evaluating the Safety of Shared-Use Paths

2005 ◽  
Vol 1939 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Lisa Aultman-Hall ◽  
Jeffrey LaMondia
Keyword(s):  
Sample Size ◽  
Event Rate ◽  
The Self ◽  
Travel Patterns ◽  
Unit Distance ◽  
Safety Concerns ◽  
Crash Rates ◽  
Incident Rate

The project described in this paper involved the design of a survey of shared-use path safety for use at three facilities in Connecticut in the fall of 2002 and the summer of 2003. The objective was to collect self-reported information on collision and fall events and on travel exposure so that crash rates could be developed. The analysis of the self-reported events and travel patterns provides complementary data that are not available from other sources but are needed to address safety concerns on these facilities. The strengths of this approach include the collection of underreported minor events and the ability to estimate travel exposure and thus allow the estimation of crash rates per unit distance. The sample size of 684 was sufficient only for the development of aggregate crash rates, which suggest that skaters have the highest rates, followed by bicyclists and then pedestrians. The bicycle event rate was three times that of pedestrians, while the rate for skaters was more than six times that for pedestrians. Falls were more frequently reported than collisions, and they were more often associated with an injury. The overall incident rate for each of the three individual facilities was the highest for the path with the highest user volume and highest percentage of skaters and cyclists.

scholarly journals Travel Patterns of Urban Linear Ferry Passengers

2015 ◽  
Vol 2535 (1) ◽  
pp. 79-87 ◽  
Author(s):  
Ali Soltani ◽  
Michael Tanko ◽  
Matthew I. Burke ◽  
Reza Farid
Keyword(s):  
Travel Patterns

Spatial context and the complexity of daily travel patterns: an international comparison

2003 ◽  
Vol 11 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Harry Timmermans ◽  
Peter van der Waerden ◽  
Mario Alves ◽  
John Polak ◽  
Scott Ellis ◽  
...  
Keyword(s):  
International Comparison ◽  
Spatial Context ◽  
Travel Patterns ◽  
Daily Travel
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