Journal: Transport Policy

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Abbreviation

Transp. policy (Oxf.)

Publisher

Elsevier

Journal Volumes

ISSN

0967-070X

Description

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Publications 1 - 10 of 22
  • Deb, Kaushik; Filippini, Massimo (2011)
    Transport Policy
  • Lichtin, Florian Maurus; Smith, E. Keith; Axhausen, Kay W.; et al. (2024)
    Transport Policy
    The twin challenge of increasing capacity to accommodate growing travel demand while simultaneously decarbonizing the transport sector places enormous pressure on public transport (PT) systems globally. Arguably the most fundamental policy choice and trade-off in designing and operating PT systems in the coming years will be service levels versus cost implications. On the presumption that public (citizen and consumer) opinion is crucial to making such choices, we study this question with a focus on Switzerland by using a factorial experiment (n = 1’634) that considers the frequency and geographic coverage of PT services as well as the cost implications for PT users and taxpayers. We find that support for increased frequency of connections and more services to peripheral regions is high as long as such service expansion is funded mainly by the government, rather than PT users. Preferences are generally consistent across subgroups, except in the case of government funding, where preferences differ by political orientation. This suggests that there is substantial demand across the board for PT services expansion funded primarily by the government, but that the question of funding is also potentially politically the most controversial. While our findings are specific to a country with a highly developed PT system, our research provides a template for similar research in other countries that struggle with a similar challenge.
  • Generic functions of railway stations
    Item type: Journal Article
    Zemp, Stefan; Stauffacher, Michael; Lang, Daniel J.; et al. (2011)
    Transport Policy
  • Gramsch-Calvo, Benjamin; Guevara, C. Angelo; Munizaga, Marcela; et al. (2022)
    Transport Policy
    Governments around the globe have taken different measures to tackle the COVID-19 pandemic, including the lockdown of people to decrease infections. The effect of such a strategy on transport demand is important not only for the current pandemic but also to understand changes in transport use and for future emergencies. We analyse a 2019–2020 database of smartcard data of trips from the city of Santiago, Chile, which followed a dynamic lockdown strategy in which its municipalities were temporarily restricted. We use this variation over time across municipalities to study the effect of lockdowns on public transportation using trips on buses and metro, accounting for the variation of municipalities that were under lockdown in a given day. We found a decrease of 72.3% at the beginning of the pandemic when schools suspended in-person classes, while the dynamic lockdowns reduced public transport demand by 12.1%. We also found that the effect of lockdowns decreased after the fifth week of their application, suggesting a short-term effectiveness of such policy to reduce mobility. Regarding sociodemographic effects, we found that lockdowns have a stronger impact on reducing public transport demand in municipalities with a larger proportion of the elderly population (2% additional reduction per 1% increase in the share of the elderly population) and high-income households (16% additional reduction for 1000 USD increase in GDP per capita).
  • Mobiplan
    Item type: Journal Article
    Kreitz, Marion; Axhausen, Kay W.; Beckmann, Klaus J.; et al. (2002)
    Transport Policy
  • Rashidi, Taha H.; Waller, Travis; Axhausen, Kay W. (2020)
    Transport Policy
  • Bi, Hui; Li, Aoyong; Hua, Mingzhuang; et al. (2022)
    Transport Policy
    Commute behaviors, as the primary part of urban mobility, remains largely underexplored, especially for bike-sharing users. Recent development in data availability open up new possibilities to delve into bike-sharing commuting over long-term periods on a large scale. This study proposes a methodological framework that enables a logical identification of bike-sharing commuting activities and a comprehensive examination of urban built environment effects on shaping commuting patterns. To this end, a series of data mining methods are developed in support of the identification of regular bike-sharing commuting, and the concepts of home-work balance and mobility trend are proposed to describe underlying commuting patterns. The XGBoost model and Necessary Condition Analysis (NCA) method are then adopted respectively to test the sufficiency and necessity of built environment on commuting patterns. The results confirm the massive existence of individual-level bike-sharing commuting activities and the pivotal role of bike-sharing in urban commuting. Also, the spatial distributions of home-work balance and mobility trend driven by job-housing separation show different clustering patterns. Besides, the synergy of sufficiency analysis and necessity analysis investigates the complex interplay of built environment-commuting patterns. This critical analysis of bike-sharing commute provides insights into sustainable transit planning and urban design.
  • Activity spaces
    Item type: Journal Article
    Schönfelder, Stefan; Axhausen, Kay W. (2003)
    Transport Policy
    The paper provides a first investigation of the suitability of different measures of activity space size to identify persons at risk of social exclusion. This would be a new departure for the measurement of social exclusion, which so far has relied either on aggregate measures of locations or cross-sectional data of individuals. The size of a person's activity space can only be estimated with information reflecting a longer time horizon. In this paper the six-week travel diary survey (Mobidrive) is used, which was conducted in two German cities in 1999. About 95% of all local trips were coded for 300 respondents (about 45,000 trips). The paper develops three possible measurement approaches of increasing complexity (confidence ellipse, kernel density estimates, shortest paths networks). The analysis revealed that the main driver of the size of the activity spaces is the overall number of unique locations visited by the respondents and to a lesser extent, their socio-demographic characteristics. In particular, the groups most often consider to be at risk of social exclusion (female, lower income, elderly) did not show significantly different activity spaces.
  • Losa, Eduardo T.; Arjomandi, Amir; Dakpo, K. Hervé; et al. (2020)
    Transport Policy
    © 2020 Elsevier Ltd This study compares the performance of the world's largest airline groups from Annex 1 and non-Annex 1 countries during the period 2010 to 2016. A recently proposed slacks-based network DEA model is further extended to a dynamic framework in order to measure airline groups' overall efficiency directly at the system, which is superior to the weighted sum of divisional efficiencies that is commonly used in the literature. A new definition of capital is also introduced taking into account the income-generating capacity of employed aircraft. The findings show that, although the aviation industry's emissions were not subject to the Kyoto Protocol, airline groups with hubs based in Annex 1 countries have performed better in terms of managing their overall production processes as well as operations and services efficiencies. Hence, one may argue that the Kyoto Protocol has wielded a positive influence on airline groups' decision-making process in general, and their operations and services in particular. On the other hand, sales efficiency results are not completely in line with this hypothesis as they show several Annex 1 airline groups are found to be highly inefficient among their rivals.
Publications 1 - 10 of 22