يعرض 1 - 10 نتائج من 426 نتيجة بحث عن '"long-distance travel"', وقت الاستعلام: 0.90s تنقيح النتائج
  1. 1
    دورية أكاديمية

    المصدر: Quaestiones Geographicae, Vol 43, Iss 1, Pp 235-255 (2024)

    الوصف: Mobility is an important source of greenhouse gas (GHG) emissions and a major contributor to human-induced climate change. Much of these emissions result from urban residents’ travel within urban areas (i.e. short-distance travel [SDT]) and away from them (i.e. long-distance travel [LDT]). In this study, we focus on the distribution of mobility-related GHG emissions in two functional urban areas in Poland: Poznań and the Tri-city. Using data from a representative survey (N ~2000 in each area), we investigate the emission distribution and associations between emission levels and the socio-economic characteristics and residential locations of study participants. Emission levels are unequally distributed: the top 10% of emitters contribute >50% of SDT and LDT emissions. People with high education and income levels tend to travel and emit more within and away from the cities. People of retirement age travel and emit much less than the younger people. SDT emission levels are clustered spatially and increase with the increasing distance from the main city centres and decreasing density. LDT emissions have only very weak or no association with residential location.

    وصف الملف: electronic resource

  2. 2
    دورية أكاديمية

    المصدر: Transportation Research Record

    الوصف: Despite its contribution to climate change, holiday travel has received less attention in research than daily travel. Research has revealed that individuals residing in dense and large settlements tend to travel more frequently and over longer distances. Whether this is attributable to compensation for shortcomings of dense cities or a reflection of lifestyle is still inconclusive, yet important to uncover for formulating mitigation strategies for the environmental impact. To advance this discussion, we analyze the 2019 Norwegian holiday travel survey to determine to what extent settlement size and regional density in Norway are associated with different holiday types that reflect different lifestyles and motivations. Using negative binomial and logistic regression while controlling for socioeconomic factors, we find that (1) it is not settlement size that influences the number of holiday trips, but whether a settlement lies in a dense county; (2) making nature getaways in Scandinavia and intercontinental trips are both positively associated with county density; (3) making city trips does not show a consistent link with spatial characteristics; (4) Mediterranean seaside holidays are typical for all Norwegians, no matter the place of residence. Our results indicate compensatory motivation behind nature getaways. However, dense everyday surroundings are not detrimental to visiting other densely populated areas on city vacations. The increased likelihood of intercontinental trips among people in dense areas may be explained by lifestyle and cosmopolitan attitudes rather than being a result of compensation. ; ISSN:0361-1981 ; ISSN:2169-4052 ; ISSN:0361-1981 ; ISSN:2169-4052

    وصف الملف: application/application/pdf

  3. 3

    المصدر: Journal of Cleaner Production. 420

    الوصف: Changes in travel behaviour are needed to tackle the climate impact associated with long-distance flights, including a switch to sustainable transport modes. In this paper, we analyse scenarios of carbon footprint reduction associated with a switch from flights to night trains for holidays in Europe for the case of Sweden, including outbound, inbound and domestic tourism. We use a prospective lifecycle assessment framework combined with results from a stated preference experiment to determine the impact of future mode shift behaviours. Our results indicate that a mode shift could be triggered by progressive night train policies resulting in (i) fewer transfers and (ii) price levels similar to those of flights. The shifts from flights to night trains could result in 9% lower cumulative carbon footprint in relation to a baseline travel demand scenario for the period 2025–2050. Decarbonization of long-distance travel in line with the Paris Agreement would likely require a combination of many different types of measures including a shift to low-carbon fuels.

    وصف الملف: print

  4. 4

    المؤلفون: Curtale, Riccardo, 1989, Larsson, Jörgen, 1966, Nässén, Jonas, 1975

    المصدر: På väg mot ett klimatneutralt långväga resande 2045 - teknik, resmönster, höghöjdseffekter Tourism Management Perspectives. 47

    الوصف: Possible strategies to mitigate the climate impact of tourism transport include encouraging tourism to closer destinations and supporting more sustainable modes of transport, including trains. Today international trips by railways only have a small market share but night trains are considered an important part of a future green Europe. However, little is known about travelers' preferences for night trains for long-distance travel in Europe. The results of an integrated choice and latent variable model (ICLV) applied to stated preference (SP) data collected from 1691 residents of Sweden show that, depending on place of origin in Sweden, in response to a set of innovations, including reduced travel time emanating from ongoing infrastructure investments, and the introduction of new, more comfortable trains, the share of plane users willing to switch to night trains to Central Europe could reach 20–30% and to Southern Europe, 6–10%.

    وصف الملف: electronic

  5. 5

    المصدر: Journal of Sustainable Tourism. 29(8):1365-1382

    الوصف: Emissions of greenhouse gases from tourism transport are rising globally, with air transport accounting for the largest share. Although travel is not likely to decrease drastically, people could travel differently, and still have similar experiences. This study aims to map the emissions from air travel and analyse the theoretical potential for emissions reduction by changing transport mode and destinations, and the readiness potential for emissions reduction based on tourists’ stated readiness to change their travel behaviour. The theoretical potential was assessed by analysing alternative trips to closer destinations and using transport modes with lower emissions or through virtual meetings. The readiness potential was assessed by a survey designed to capture people’s stated readiness to change their behaviour. The results show a theoretical potential for an emissions reduction of 67%, while the readiness potential is 26%. About half of the readiness potential for reductions is from changing destination, while only a small share is from changing transport mode. This shows that, when accounting for people’s readiness to change behaviour, destination choice has a greater potential to reduce emissions compared to transport mode choice. This finding has implications for policy makers in designing policy measures to reduce emissions.

    وصف الملف: electronic

  6. 6
    دورية أكاديمية

    المؤلفون: Anthony Harding

    المصدر: Studia Hercynia, Vol 26, Iss 1, Pp 21-43 (2022)

    الوصف: The debate over possible connections between Bronze Age Greece and the rest of the European continent, to which Jan Bouzek made major contributions throughout his career, is reviewed in the light of new con tributions and finds. Particularly important is recent work on the north Italian site of Frattesina. Other categories of evidence are considered in turn. In the light of these advances, it is possible to imagine a much more interconnected Bronze Age world than was possible 40 years ago.

    وصف الملف: electronic resource

  7. 7
    دورية أكاديمية

    المؤلفون: Anciaes, Paulo, Metcalfe, Paul

    المصدر: Journal of Transport and Health , 28 , Article 101535. (2023)

    الوصف: BACKGROUND: Travel outside the local area allows people to meet others and access a wide selection of services and opportunities. However, travel can be constrained by the lack of good transport or by personal factors. This paper investigates whether these constraints are associated with poor self-rated health, and the extent to which the association is mediated by reduced social participation. METHOD: Respondents in a survey in the North of England (n=2747) stated levels of constraints to trip frequency, number of places visited, travel distance, and travel mode for trips more than 15 miles (24km) away from home. Path analysis tested associations between these constraints, indicators of social participation (seeing family and friends frequently and being a member of clubs or societies), and self-rated health. RESULTS: Constraints to the number of places visited were associated with reduced social participation. Constraints to trip frequency had a negative association with self-rated health via pathways other than social participation. Constraints to travel distance were not significant and constraints to car use and public transport were associated to self-rated health via other constraints. The results varied by age group and were robust to changes in variable specification and treatment of missing data. CONCLUSIONS: The results confirm the importance of being able to travel outside the local area for social participation and health and emphasize the need for public policies that reduce constraints to travel, by providing better conditions for the use of both private and public transport and for the realization of more frequent trips to a wider set of places.

    وصف الملف: text

  8. 8

    المؤلفون: Andersson, Angelica

    المساهمون: Börjesson, Maria, Adj. Professor, 1974, Kristoffersson, Ida, Rydergren, Clas, Associate Professor, 1972, Engelson, Leonid, Adj. Professor, 1955, Westin, Jonas, Dr

    المصدر: Linköping Studies in Science and Technology. Licentiate Thesis.

    الوصف: Reliable forecasting models are needed to achieve the climate related goals in the face of increasing transport demand. Such models can predict the long-term behavioural response to policy interventions, including infrastructure investments, and thus provide valuable pre-dictions for decision makers. Contemporary forecasting models are mainly based on national travel surveys. Unfortunately, the response rates of such surveys have steadily declined, implying that the respondents become less representative of the whole population. A particular weakness is that it is likely that respondents with a high valuation of time are less willing to respond to surveys (because they have less time available for such), and therefore there is a high chance that they are underrepresented among the respondents. The valuation of time plays an important role for the cost benefit analyses of public policies including transport investments, and there is no reliable way of controlling for this uneven sampling of time preferences. Fortunately, there is simultaneously an increase in the number of signals sent between mobile phones and network antennae, and research has now reached the point where it is possible to determine not only the travel destination but also the travel mode based on mobile phone network antennae connections. The aim of this thesis is to investigate if and how mobile phone network data can be used to estimate transportation mode choice demand models that can be used for forecasting and planning. Key challenges with using this data source in the context of mode choice models are identified and met. The identified challenges include uncertainty in the choice variable, the difficulty to distinguish car and bus trips, and the lack of information about the trip purpose. In the first paper we propose three possible model formulations and analyse how the uncertainty in the choice outcome variable would play a role in the different model formulations. We also conclude that it is indeed possible to estimate mode choice demand models based on mobile phone network data, with good results in terms of behavioural interpretability and significance. In the second paper we estimate models using a nested logit structure to account for the difficulty in separating bus and car, and a latent class model specification to meet the challenge of having an unknown trip purpose.

    وصف الملف: electronic

  9. 9

    المصدر: Journal of Choice Modelling. 42

    الوصف: In this paper we develop two methods for the use of mobile phone data to support the estimation of long-distance mode choice models. Both methods are based on logit formulations in which we define likelihood functions and use maximum likelihood estimation. Mobile phone data consists of information about a sequence of antennae that have detected each phone, so the mode choice is not actually observed. In the first trip-based method, the mode of each trip is inferred by a separate procedure, and the estimation process is then straightforward. However, since it is not always possible to determine the mode choice with certainty (although it is possible in the majority of cases), this method might give biased results. In our second antenna-based method we therefore base the likelihood function on the sequences of antennae that have detected the phones. The estimation aims at finding a parameter vector in the mode choice model that would explain the observed sequences best. The main challenge with the antenna-based method is the need for detailed resolution of the available data. In this paper we show the derivation of the two methods, that they coincide in case of certainty about the chosen mode and discuss the validity of assumptions and their advantages and disadvantages. Furthermore, we apply the first trip-based method to empirical data and compare the results of two different ways of implementing it.

    وصف الملف: electronic

  10. 10
    دورية أكاديمية

    المؤلفون: Berliner, Rosaria

    الوصف: Electrification, automation, and shared mobility, known as the 3 Revolutions (3R) will fundamentally change transportation globally. The 3 Revolutions are coming, and they will change existing travel behavior such as long-distance trips and create new questions such as who will drive for shared mobility and who will buy automated vehicles. Long distance travel, drivers for on-demand ride services, and the adoption of automated vehicles have been of recent interest to researchers, stakeholders, and policy makers but have just begun to be studied.Long-distance travel research is limited due to the lack of robust data and the complexity of defining a long-distance trip. The patterns of infrequent long-distance trips are poorly understood especially compared to the better studied (and understood) local daily travel patterns. This study contributes to filling that gap by investigating the factors that affect the frequency of long-distance trips of Californian millennials and members of the preceding Generation X. The data used was collected with an online survey administered in fall 2015 to study the mobility of these age groups. The survey collected information on several travel-related variables, including the number of long-distance trips (defined as trips longer than 100 miles, one way) made by various modes during the previous 12 months. Six negative binomial regression models of long-distance travel separated by purpose (business or leisure) and mode (overall travel versus air) are estimated. The study explores the relationship of long-distance trip formation with several sociodemographic, land use and attitudinal variables. Consistent with expectations, individual income positively affects the number of long-distance trips made by each individual. Among the attitudinal variables, the individuals who are adventurers, have higher “variety seeking” attitudes and are more interested in adopting new technologies are found to make a larger number of long-distance trips. On the other hand, those who prefer to shop in brick-and-mortar stores rather than online are found to have lower levels of long-distance travel.

    وصف الملف: application/pdf