Modeling the commute mode share of transit using continuous accessibility to jobs

Owen, Andrew; Levinson, David

doi:10.1016/j.tra.2015.02.002

Cited by 178 publications

(175 citation statements)

References 27 publications

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“…To take this variation into account, some studies consider the average or mean accessibility level across a sample of various departure times during a certain time interval (Fan et al, 2012;Owen & Levinson, 2015;. The MTUP aggregation effect relates to scale or the size of the time window used to aggregate the data, which could be a one-hour period or a three-hour period for example.…”

Section: Modifiable Temporal Unit Problem (Mtup)mentioning

confidence: 99%

Future accessibility impacts of transport policy scenarios: equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro

Pereira¹

2018

Preprint

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Highlights• The study estimates how the TransBrasil BRT project in Rio de Janeiro will likely impact employment accessibility for different income groups • The full implementation of the proposed BRT could benefit up to 58% of the city population, increasing job accessibility by 11% on average • This BRT project could promote substantially larger accessibility gains for lower-income groups and reduce inequalities in access to opportunities • The study shows that the conclusions of equity assessments of transport projects depend on the travel time threshold chosen for cumulative opportunity accessibility analysis AbstractThe accessibility impacts of transport projects ex-post implementation are generally evaluated using cumulative opportunity measures based on a single travel time threshold. Fewer studies have explored how accessibility appraisal of transport plans can be used to evaluate policy scenarios and their impacts for different social groups or examined whether the results of project appraisals are sensitive to the time threshold of choice. This paper analyzes how different scenarios of full and partial implementation of the TransBrasil BRT project in Rio de Janeiro (Brazil) will likely impact the number of jobs accessible to the population of different income levels. The analysis is conducted under various travel time thresholds of 30, 60, 90 and 120 minutes to test whether the results are sensitive to the boundary effect of the modifiable temporal unit problem (MTUP). Compared to a partial operation scenario, the full implementation of TransBrasil that extends this corridor into the city center would lead to higher accessibility gains due to network effects of connecting this BRT to other transport modes. Nonetheless, the size of the accessibility impacts of the proposed BRT as well as its distribution across income classes would significantly change depending on the time threshold chosen for the accessibility analysis. Considering cut-off times of 30 or 60 minutes, both scenarios of TransBrasil would lead to higher accessibility impacts in general and particularly for low-income groups, moving Rio towards a more equitable transportation system. However, under longer thresholds of 90 and 120 minutes, an evaluation of this project would find much smaller accessibility gains more evenly distributed by income levels. The paper highlights how time threshold choice in cumulative opportunity measures can have important but overlooked implications for policy evaluation and it calls for further research on the MTUP in future transport and mobility studies.

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Section: Modifiable Temporal Unit Problem (Mtup)mentioning

confidence: 99%

Future accessibility impacts of transport policy scenarios: equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro

Pereira¹

2018

Preprint

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“…OpenTripPlanner has been applied to the Minneapolis/St. Paul region (Owen and Levinson 2015). By calculating the cumulative opportunity transit accessibility to jobs for different travel time bands, and for every minute in the morning peak, an average and maximum accessibility is calculated.…”

Section: Public Transport Accessibilitymentioning

confidence: 99%

Pedestrian and transit accessibility on a micro level: Results and challenges

Eggermond¹,

Erath²

2015

JTLU

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In this paper, we connect two notions of accessibility that are more oen than not considered separately: pedestrian accessibility and transit accessibility. We move away from the notion of zonal accessibility and measure fine-grained accessibility using door-to-door travel times. Two pedestrian networks are compared to a baseline scenario considering Euclidean distances for a large metropolitan area in which each individual building is considered as an activity opportunity. It is shown that pedestrian accessibility to jobs differs when pedestrian distances are approximated with different networks that are more representative of reality. Stop-to-stop public transport travel times are extracted from an agent-based simulation of public transport smart card data. e effect of less-than-optimal connections from transit to the pedestrian network, a local measurement, can be seen when calculating the accessibility to all destinations in the city. We suggest moving away from Euclidean-based distance analyses. Limitations can be found in the data available; the connection of buildings to the network becomes important, as does the inclusion of pedestrian crossings. For an inclusive accessibility measure, it will be necessary to calculate generalized costs for pedestrians and generate different pedestrian networks that reflect the limitations of different user groups.

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“…The emergence of the General Transit Feed Specification (GTFS) data standard, and the publication of GTFS packages by thousands of agencies worldwide has unleashed a flurry of tools development for researching transit networks (Hadas and Ranjitkar 2012), transit travel times (Farber et al 2014), and time-dependent accessibility metrics Owen and Levinson 2015;Farber et al 2016). One problem with travel time research based on GTFS schedules is that this format implicitly ignores inaccuracies in travel times due to, among other causes, operational delays, service interruptions or unrealistic schedules.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal enabled Content-based Image Retrieval

Belgiu¹,

Sudmanns²,

Tiede³

et al. 2016

GIScience

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Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena. A sensor in WSNs covers only a limited region, depending on its sensing and communicating ranges, as well as the environment configuration. For efficient deployment of sensors in a WSN the coverage estimation is a critical issue. Probabilistic methods are among the most accurate models proposed for sensor coverage estimation. However, most of these methods are based on raster representation of the environment for coverage estimation which limits their quality. In this paper, we propose a probabilistic method for estimation of the coverage of a sensor network based on 3D vector representation of the environment.

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Modeling the commute mode share of transit using continuous accessibility to jobs

Cited by 178 publications

References 27 publications

Future accessibility impacts of transport policy scenarios: equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro

Future accessibility impacts of transport policy scenarios: equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro

Pedestrian and transit accessibility on a micro level: Results and challenges

Spatiotemporal enabled Content-based Image Retrieval

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