Exploring the distances people walk to access public transport

Soest, Dennis van; Tight, Miles; Rogers, C. D. F.

doi:10.1080/01441647.2019.1575491

Cited by 80 publications

(34 citation statements)

References 53 publications

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“…Moreover, we were unable to obtain conclusive results on the influence of variables related to the accessibility to and from public transport and street density, due to the limitations presented by the indicators chosen for them. Previous research on the key factors that influence the relationship between walking and transit could help derive indicators to measure the distance people walk to and from public transport [73]. For example, the effect of street density is different depending on the type of urban fabric formed by these streets, either traditional grid street patterns or suburban neighbourhood design.…”

Section: Discussionmentioning

confidence: 99%

Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area

Mendiola

González

2021

Land

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This study provides empirical evidence on the links between urban development factors and the use of specific modes of transport in commuting in the Buenos Aires metropolitan area. The case study is of interest because quantitative research on developing countries is scarce and their rapid urban growth and high rates of inequality may generate different results compared to the US or Europe. This relationship was assessed on locality level using regression methods. Spatial econometric techniques were applied to avoid unreliable inferences generated by spatial dependence and to detect the existence of externalities. Furthermore, we include in the model the socio-economic profile of each locality identified using cluster analysis. The findings reveal that population density affects motorised transport, that diversity is relevant for public transport and non-motorised trips, and urban design characteristics affect all modes of transport. Spatial dependence is detected for motorised transport, which may imply the existence of externalities, suggesting the need for coordinated decision-making processes on a metropolitan level. Finally, modal split depends on the socio-economic profile of a locality, which may influence the response to public transport policies. To sum up, these results may be useful when it comes to helping policymakers design integrated public policies on urban and transport planning.

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Section: Discussionmentioning

confidence: 99%

Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area

Mendiola

González

2021

Land

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“…Liu et al (2017) [36] reviewed the development and application of deficit function modelling in PT and indicated that graphical deficit function concepts are conducive to PT planning and operations. Soest et al (2020) [37] discussed how walking relates to the use of PT and indicated that further empirical research on the influences of culture and climate in different geographical areas is needed.…”

Section: Public Transportationmentioning

confidence: 99%

“…Based on Formulas (37) and 50, the individual value of the passenger for the energy factor during the time period t 1 ∼ t m can be calculated by Formula (52):…”

Section: Driver Utility Analysesmentioning

confidence: 99%

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Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou

Gui

2020

Sustainability

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The transportation utility values calculated by traditional utility methods are not comprehensive. Some objects and factors are ignored in traditional utility methods, and this narrow perspective is their primary drawback. In intelligent transportation systems, it is necessary to calculate transportation utility for promoting public traffic planning and management. To build a sustainable intelligent transportation system, modified utility methods are essential to analyze transportation utility in a comprehensive way with innovative technologies and efficient communication systems. To solve the disadvantages of traditional utility methods, it is necessary to establish a new method to build sustainable public transport in the future. In this study, the Multiple Utility Method and Transportation Utility Method are proposed for public transport planning and management from multiple perspectives. A sample is presented to provide a better description, and 69,174 GPS-equipped taxi data in Haikou are adopted for the application of the Transportation Utility Method. The results show that the transportation utility values calculated by the Transportation Utility Method are more comprehensive than the transportation utility calculated by traditional utility methods. This indicates that it is necessary to calculate transportation utility from multiple perspectives based on the Transportation Utility Method. Future directions could include improving the methods, considering more factors, expanding the data used, and extrapolating this research to other cities around the world with similar urban metrics and urban form.

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“…In contrast, developing a computational framework based on smartphone data has proved to provide more accurate measurement of the observed traveled distances, leading to better estimation of potential emissions reductions with computed alternatives [56,57]. In addition, the use of smartphone data has been shown to provide a better estimation of observed walking for PT access/egress, leading to better estimations of potential changes in physical activity with mode shift [27,60,61]. Despite these computational potentials, most of the previous literature has studied the reduced emissions and increased travel times separately [55,62], focusing on comparing alternatives such as bike, PT, or shared bike [18,63].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Potential Shift to Low-Carbon Urban Travel Modes: A Computational Framework Based on High-Resolution Smartphone Data

et al. 2020

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Given the necessity to understand the modal shift potentials at the level of individual travel times, emissions, and physically active travel distances, there is a need for accurately computing such potentials from disaggregated data collection. Despite significant development in data collection technology, especially by utilizing smartphones, there are limited efforts in developing useful computational frameworks for this purpose. First, development of a computational framework requires longitudinal data collection of revealed travel behavior of individuals. Second, such a computational framework should enable scalable analysis of time-relevant low-carbon travel alternatives in the target region. To this end, this research presents an open-source computational framework, developed to explore the potential for shifting from private car to lower-carbon travel alternatives. In comparison to previous development, our computational framework estimates and illustrates the changes in travel time in relation to the potential reductions in emission and increases in physically active travel, as well as daily weather conditions. The potential usefulness of the framework was evaluated using long-term travel data of around a hundred travelers within the Helsinki Metropolitan Region, Finland. The case study outcomes also suggest that in several cases traveling by public transport or bike would not increase travel time compared to the observed car travel. Based on the case study results, we discuss potentially acceptable travel times for mode shift, and usefulness of the computational framework for decisions regarding transition to sustainable urban mobility systems. Finally, we discuss limitations and lessons learned for data collection and further development of similar computational frameworks.

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Exploring the distances people walk to access public transport

Cited by 80 publications

References 53 publications

Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area

Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area

Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou

Analysis of Potential Shift to Low-Carbon Urban Travel Modes: A Computational Framework Based on High-Resolution Smartphone Data

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