scholarly journals Analysis of travel patterns between road and transit-oriented development areas

2010 ◽  
Vol 44 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Seungjae Lee ◽  
Shinhae Lee ◽  
Dongjoo Park ◽  
Chungwon Lee
2017 ◽  
Vol 37 (2) ◽  
pp. 155-176 ◽  
Author(s):  
Theresa Mackay

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.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Viktoriya Kolarova ◽  
Christine Eisenmann ◽  
Claudia Nobis ◽  
Christian Winkler ◽  
Barbara Lenz

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.


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