Questions related to Travel Behavior
I am looking for a way to connect a classic 4-step transport model (macro) with a micro-level model. The purpose is to capture a behavioural response (change in travel behaviour) of people to some specific policy change (road charges…) and feed this information into another micro-level model (microsimulation model with individuals grouped into households). The difficulty is that the 4-step transport model is a macro model, where we have aggregate flows of people (# of trips), not individuals. The output is in form of OD matrices between different geographical zones (of a studied area) before and after reform. They show the number of trips between zones and the total matrix is subdivided into OD matrices for different travel modes and some combinations of socio-economic profile and trip purpose.
My question is what would be the best approach to extract information from aggregate OD matrices to feed into micro-level dataset? I wish to capture how modal choice will change (e.g. if we introduce road tax, how each individual in micro dataset will adapt, maybe he will choose public transport?…)
What would be your suggestions? Maybe someone already tried to do something similar? I couldn’t find anything. Your suggestions would be very appreciated!
Would like to research the entire connections per airport on the globe, not the single flights such as in flighttraffic. Is there an updated map available somewhere.
I'm curious to learn about resources (i.e., standard practices) regarding the creation of a survey instrument and/or analysis of micro-mobility travel mode decisions and travel behaviors (route preferences) in a university environment? Thanks and I look forward to any and all comments!
I hope everyone is safe and healthy.
The purpose of this survey is to study travel behavior during COVID-19. It does not ask for any personal information and will take about 10 - 15 minutes.
Your response will be highly appreciated.
Edit: Thanks everyone for your responses. They survey is now closed.
I'd like to apply the Theory of Planned behaviour to that of opting to use a travel agent to plan international travel during the pandemic. I'd like to incorporate the constructs of perceived risk and perceived uncertainty into the model.
My question is, can I measure the perceived risk in terms of travelling during the pandemic, yet my behaviour that I am attempting to predict is the use of a travel agent to plan the trip.
So, Perceived risk and uncertainty of travelling during the pandemic and how this influences attitudes, subjective norms and perceived behavioural control of using a travel agent to book the trip.
My aim is to determine if people are more inclined, due to the pandemic, to use a travel agent to book trips. perhaps they are becoming more relevant despite technological advancements due to the uncertainties that exist around travelling during this unprecedented time.
any help or advice would be massively appreciated! thank you in advance.
Are there scientific evidence and studies on why do some people seem not to care at all about spreading the virus to others, and how many they may be?
The UK press discusses the case of a famous senior government adviser who travelled from London to the North, 260 miles, knowingly at high risk to be infected since his wife was, while the UK had a travel ban
BBC News - Coronavirus: Dominic Cummings rejects calls to quit as PM's chief adviser
In Scotland a health minister had to resign for having infringed the travel ban to visit her second house.
The message given, as the press sees it, is that Law makes exceptions for some, who are well connected, but hits hard on normal citizens
More significant at statistical level was the massive travel from Milan to Southern Italy, by Milan residents. They carried the virus South, in deprived areas where hospitals had not anticipated the Milanese flow...
Data is available for this exodus from Lombardy to the South of Italy.
Do we have figures on this anti-social behaviour, "homo homini lupus" where the man is a wolf to other men (image used by philosopher Hobbes).
I want to sample virtual community members in a city for an academic research in travel behaviour. What sampling technique works? I want to use a questionnaire and a travel diary to collect data. Are there experiences I can learn from? Thanks
We're planning to conduct an academic research in transportation& mobility sector - to understand the changes in travel behavior in post-Covid era. It would be great if any transportation& logistics experts can guide us on below questions.
1. This research will focus mainly on land transportation modes. But in most of the research studies I found that Railways is considered as a separate form from other modes. Any specific reasons for this? Is it appropriate to consider all land transportation modes together for our study?
2. Is it too early to assume that we have finally stepped into post-Covid era and to analyze commuter travel behavioral changes? Or better we conduct this after few months?
3. Also is it okay to connect our Research results to impacts in Supply-Chain Management? Because currently SCM is a heavily affected area in every other industry. So is it worth to include SCM and give some recommendations?
Thank you in advance.
Dear All, within our new European project SYN+AIR related with the air transport we are executing an online survey which aims at identifing the mobility choices related to and from the airport. We are glad to invite you fill in the survey https://ec.europa.eu/eusurvey/runner/SYN_AIR_Traveller_Survey_2021 The questionnaire is available in 5 languages (English, Greek, Spanish, Italian, Serbian) and lasts approximately 10 minutes. All adults that travel or used to travel by plane (before the Covid-19 pandemics) can answer this survey. You may find information related to the project at http://syn-air.eu/
Please, feel free to share/disseminate this request. Thanks a lot for your attention and contribution. #SESAR #H2020 #SYN+AIR
We are starting the project CultSense - Sensitizing Young Travellers for Local Cultures (www.cultsense.com). The project seeks to find a new approach to increase understanding and valorization of local cultures by the people that visit these places. We are in first instance thinking of young people.
- What is for you the most important challenge in making this bridge of understanding between (young) tourists and the local cultures they visit?
- Any ideas of how to communicate ways to tackle this challenge?
Thank you for sharing your views and the challenges of the places you live and visit!
You can also follow our project here - http://www.researchgate.net/project/CultSense-Sensitizing-Young-Travellers-for-Local-Cultures
Existing transport and mobility restrictions are: reduced public transport services (number of buses, metro), reduced capacity (number of passengers) by social distancing inside the public transport vehicles, deactivate public transport services or shared mobility modes like city bike (bike sharing), carsharing, deactivate buses, trains, flights between cities and countries, car-traffic ban between cities and countries, etc.
- How "transport and mobility restrictions during the Pandemic and COVID-19 period" impact on travel and mobility behavior (habit) of elderly people and persons with disabilities? considering the concerns to be infected in public transport vehicles or shared mobility modes.
- These (probable) travel behavior changes will continue after the Pandemic? or they will return back o their normal travel behavior/habits?
So much is in a flux right now, the level of uncertainty is high and there is a constant battle between narratives. What is your opinion; when will our economies start to recover? Many businesses are in deep crisis, like airlines, reaturants and the whole travel industry. What are your thoughts?
I want to explore daily passenger volume at railway stations in the selected region.
Should I take into account the number of people getting on the train or getting off the train? Maybe the sum of passenger getting on and getting off the train at particular railway station? Is this correct in this case? I will count double passengers who commute to work and come back from work in the same day. Maybe the average number of passenger getting on and getting off the train?
I am looking for travel behaviour data for my project, mainly travel surveys, and am wondering if anyone can advise of appropriate surveys they are aware of.
Currently I am considering of comparing travel behaviour in Scotland with international examples that have distinct transport / land use systems. The Scottish Household Travel Survey contains travel diaries of good representation of the population which provide data on the travel characteristics with start and end locations aggregated to geographical polygon areas of approximately 4000 households, which is available through application for academic research purposes. It is also coupled with an individual questionnaire that provides socio-economic information of the respondents. This would allow me to see where trips occur throughout the city and analyse trips in respect to local transport services and land use patterns, and how this differs for different groups of society.
I am thus looking other surveys around the world that would allow me to conduct a similar analysis and compare the findings. Can anyone advise of any city-wide or national household travel surveys that data to such a level can be made available?
It has likert scale of 7 point. It says ," For evaluating the overall attitude of each respondent regarding bicycle use for commuting the sum of ratings of all the items was taken. Thus, the largest possible value for the overall assessment of attitude is (12 x 49) = 588 (fully embraces bicycle use) and the lowest possible value is (12 x 1) = 12 (totally against the use of bicycles). The average value is 271.1 (with standard deviation equal to 70.8)".
Here 12 means the number of questions that the authors used in the survey.
I am having trouble to find out the average value. How was the calculation done?
I would like to find out if there a distance at which travel and if so what the distance is. Also how willing are business professionals to travel by general aviation either in the form or charter jets or personal aircraft? Would anyone know what kind of test I could do or perform or where I could find more data on this subject?
I am currently conducting research (my master thesis) on social justice and social exclusion related to transport. My research hypothesis is whether greater levels of accessibility inevitably result in greater participation in activities or more mobility.
In this way, I would like to read articles that have already studied this relationship.
An article I found on the subject is
"Fransen, K., Farber, S., Deruyter, G., & De Maeyer, P. (2018) The spatio-temporal accessibility measure for modeling activity participation in discretionary activities. . "
Could you suggest me more papers on the subject?
As you are doubtless aware, paper-based survey has been known as one of the most common methods for gathering data relevant to people's behavior (either revealed preferences or stated preferences). I wanna make sure how much can we rely on new methods like Internet (Web)-based survey instead of traditional paper-based survey? In particular, my research's scope is related to travel behavior analysis. My research' sample should cover all socioeconomic groups and almost all geographical areas in a city.
I would be happy if somebody shared with me his/her opinion or the valid references.
Thanks in advance
I want to get accurate data on walking behaviour (particularly related to public transport use), such as the distances and routes taken.
A relatively easy method would be to use an app for people's smartphones to track their location.
I have tested a few apps, such as Moves, but in my experience the tracking often tends to be inaccurate - especially regarding the microscale on which walking takes place.
I wonder what other people's experiences are regarding the use of travel behaviour-tracking apps, or other (non-smartphone) tools that might help getting insight into this walking behaviour?
Hi I have completed a survey of public transport users (water transport) and am trying to fit a model in AMOS. I completed a EFA in SPSS and this indicated a solution with 3 or 4 factors. If you see the proposed model it indicates the factors of service planning (quality of the network, frequency, punctuality), comfort (calm environment, clean, view from the boat) and productivity (ability to do work on board, space to do work, smoothness of journey to work). The 4 factor option would split comfort into on board comfort factors and a new factor regarding the environment (the view of the water, the water environment etc).
Based on a previous paper that showed water transport users tend to display excess travel when choosing boats vs the bus option, our hypothesis is that users value either the passive amenity of being on board boats, or the productivity benefits from being able to work while travelling, which may not be as possible on a more crowded bus for example.
The estimates you can see seem to indicate that it is more the comfort indicators that are explaining overall satisfaction rather than the productivity inidicators. However, the coefficients for productivity is negative and I'm wondering how to explain this. All items were positively coded on a 1-10 scale in separate importance and satisfaction questions = "rate the importance/satisfaction of being able to conduct work while travelling" etc.
I've attached a paper which is very similar to what I am trying to do. How can I explain the negative coefficient in this context? Another issue is it seems the estimate for overall importance on satisfaction is great than 1.0. Is this an issue? One last thing is that when i run the model is says that one of the variance is negative ("ee" the error term for overall importance).
Thanks for any help!
I want to compare almost 100 matrices. I want to know how different is a11 to b11 to c11.... The matrix itself is 2000 X 2000 matrix.
My understanding so far from literature is that I can compare these matrices to see whether matrices are different to each other or not. I am more interested in seeing whether the cells ( within matrices) are different to each other or not and if yes, by how much?
According to US EPA, "green infrastructure is a cost-effective, resilient approach to managing wet weather impacts that provides many community benefits. ...[g]reen infrastructure reduces and treats stormwater at its source while delivering environmental, social, and economic benefits. Within the transportation field, green infrastructure is promoted to prevent and mitigate negative environmental impacts that automobiles cause, and potentially facilitate more of use of alternative mode of travel, such as walking and biking. Is anyone aware of any studies that quantitatively measure the potential effects of green infrastructure on travel behavior?
As pure electric vehicles become widely used, it seems that it will replace the conventional vehicles (driven by combustion engine) in the future because of environment protecting and energy conservation advantages. However, one of the important disadvantages is that pure EV has limited driving range, ranging from 100-400km which is obviously less than that of conventional powered cars. Thus, drivers have to consider where and when the pure electric vehicles should recharge in order to ensure that it will not affect their daily traveling negatively, e.g. escort children, go to work, visit friend, go shopping, etc. And such consideration absolutely will further change their decision about their travel behaviors. But how this change will happen? What kinds of travel behavior will be affected mostly?
I want to know the perceived change in perspectives of women in the contexts of gender roles after transformative traveling experiences using TLT,
I dont have the time to do a pre-trip and post-trip research, I will do a perceived change on perspectives.
However, I dont know how to select my participants who should be already transformed, any ideas?
I would like to employ IPA to explore experiences of tourists in nature-based destinations? Do you think I should give it a go? Any suggestions for literature?
I want to know how trip purpose influence the mode choice, in that may be a specific purpose of activities require a specific mode. Trip purpose and mode use are categorical variables (Nominal variables). Different trip purpose with mode use for each trip purpose are known. What type of analysis best suit this scenario? Thank you all.
I'm doing a research on transit stops design, with a focus on landscaping aspects and on the influence on transit ridership. The general assumption is that the design of transit stops actually plays a role both in the creation of the urban landscape and through its influence on travel behavior. I found some interesting studies but I’m still looking for realized projects and case studies.
I've been asked to analyse the opportunities offered by an Applied Lab that is supposed to investigate on the passenger experience during a train trip.
What kind of research method would be the most appropriate?