GIS based destination accessibility via public transit and walking in Auckland, New Zealand

Mavoa, Suzanne; Witten, Karen; McCreanor, Tim; O’Sullivan, David

doi:10.1016/j.jtrangeo.2011.10.001

Cited by 317 publications

(184 citation statements)

References 31 publications

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“…In this case study, both methods considered network-based access/ egress times to and from public transport, as well as timetable-based waiting and transfer times. This is similar to Mavoa et al's (2012) approach to PTWAI, but distinct from Silva (2008), who simplified waiting at the stops to a generic 5-min interval and the transfer to an equivalent to 100 m at maximum. Taking into account commuting times occurring on the network (and the actual schedule of transit services) increases the robustness of the methodology applied here and the results.…”

Section: Adjustment For Making the Methods Comparablementioning

confidence: 91%

“…The PTWAI is a measure used by Mavoa et al (2012) to calculate accessibility for public transport and walking in New Zealand (the other indicator being a transit frequency index). The authors aimed to develop a tool for understanding public transit accessibility (access to destinations via public transit and walking modes), which is particularly important for encouraging mode shifts towards non-car travel.…”

Section: The Public Transport Walking Access Index (Ptwai)mentioning

confidence: 99%

“…For example, Handy and Niemeier (1997) list seven methods for measuring accessibility, Geurs and Ritsema van Eck (2001) list 23 and Halden et al (2005) present 19. However, Mavoa et al (2012) suggest that there is no effective comparison among these methods. Similarly, Curl et al (2011) point out the lack of performance-based assessments indicating the actual usability of these various methods.…”

Section: Introductionmentioning

confidence: 99%

“…This article compares the Structural Accessibility Layer (SAL -Silva 2008) and the Public Transit and Walking Accessibility Index (PTWAI - Mavoa et al 2012) methods for measuring accessibility. This is done by using a case study of the Helsinki metropolitan area, chosen because of data availability and personal knowledge of the area.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Measuring the Accessibility of Public Transport: A Critical Comparison Between Methods in Helsinki

Albacete

Olaru

Carril

et al. 2015

Appl. Spatial Analysis

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This research compares two location-based methods of evaluating public transport accessibility and applies them in Helsinki. After discussing a series of methodological aspects, the authors calculate the Structural Accessibility Layer (SAL) public transport indicator and the Public Transport and Walking Accessibility Index (PTWAI) for a grid with 8,325 zones, comparable in size to the smallest census unit. Both methods are operational for urban planners and policy makers interested in a relatively straightforward way of quantifying the accessibility of sustainable transport modes such as public transport. The results display similar accessibility patterns when moving from larger to smaller isochrones (60 to 38 min). However, the findings are inconclusive between SAL and PTWAI: SAL (38 min) displays good accessibility by public transport (more than 94 % of the population living within two-thirds of the metropolitan area has very high and high access to public transport), but PTWAI indicates that 35 % of the population, primarily households with children (43 %), experience low and very low access. The contrasting results are mainly due to the derivation of the two indicators and have considerable implications for policy making. The findings of this research imply that PTWAI is preferable to planning assessments regarding public transport, given its relatively richer content. However, for multi-mode-based accessibility categorization, SAL appears more appropriate. It is the analyst's role to understand the objective and contents of each index and choose the tool fit for their purpose. Then, a judgement should be made on the trade-off between the Appl. Spatial Analysis (2017)

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Section: Adjustment For Making the Methods Comparablementioning

confidence: 91%

Section: The Public Transport Walking Access Index (Ptwai)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring the Accessibility of Public Transport: A Critical Comparison Between Methods in Helsinki

Albacete

Olaru

Carril

et al. 2015

Appl. Spatial Analysis

View full text Add to dashboard Cite

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“…The skim files were produced by model runs performed by MTC. Though there are criticisms of the accuracy of travel skims for public transit systems produced using regional models (e.g., Benenson et al, 2011;Tribby and Zandbergen, 2012;Mavoa et al, 2012), we wanted to focus on the data most readily available to MPOs for this initial tool development. More advanced tools for travel-time estimation could be integrated in later efforts.…”

Section: Data Requirementsmentioning

confidence: 99%

Making accessibility analyses accessible: A tool to facilitate the public review of the effects of regional transportation plans on accessibility

Golub

Robinson

Nee³

2013

JTLU

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Abstract:The regional transportation planning process in the United States has not been easily opened to public oversight even after strengthened requirements for public participation and civil rights considerations. In the effort to improve the public review of regional transportation plans, this paper describes the construction of a proof-of concept web-based tool designed to analyze the effects of regional transportation plans on accessibility to jobs and other essential destinations. The tool allows the user to analyze disparities in accessibility outcomes by demographic group, specifically income and race, as required by civil rights-related planning directives. The tool makes cumulative-opportunity measures of the number of essential destinations reachable within certain times by public transit and automobile. The tool is constructed to analyze the San Francisco Bay Area's 2005 regional transportation plan. Users can choose to make measures for a particular neighborhood or for all neighborhoods in the region with certain demographic characteristics. Two example analyses are shown with an interpretation and discussion of calculator outputs.a aaron

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Retracted: Modeling access to public transport in urban areas

Saghapour

Moridpour

Thompson

2016

J of Advced Transportation

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It is important to measure public transport accessibility to help improve the sustainability of transport systems in metropolitan areas. Although many studies have defined different approaches for measuring public transport accessibility, there have been limited methods developed for measuring accessibility levels that incorporate spatial aspects. Population density is an important distributional indicator that has also been ignored in previous methods developed for quantifying accessibility. This paper outlines the research context for measurement of public transport accessibility and then describes a methodology developed as well as an application the Public Transport Accessibility Index in Melbourne area, Australia. Using the Victorian Integrated Survey of Travel and Activity dataset, we applied separate-ordered logit regression models to examine how the new index performs with a series of predictor variables compared with two existing approaches. Key findings indicate that there is a higher probability of public transport patronage in areas with higher levels of accessibility. Furthermore, it was found using statistical modelling that the new index produces better results compared with previous approaches. This paper presents the results of a study aimed at objectively measuring PT accessibility by considering population density in the metropolitan area of Melbourne, Australia. The study contains four main parts. The first part after a review of previous research describes the calculation process for estimating the accessibility index. The following section presents the methodology, analysis and results of the models. The final section discusses the key findings and the implications of the approach. BACKGROUNDAccessibility measures have been generally categorized into three groups, access to PT stops, duration of journeys by PT modes and access to destinations by PT modes [9]. A large number of studies measuring accessibility have focused on the proximity to a PT stop/station [10][11][12][13]. Some of these studies have measured accessibility levels by considering an administrative division to a PT stop. Currie [11] claimed that using an administrative division as an alternative for homes of all residents within a selected boundary can bias the results. To address this problem, some studies have measured accessibility from dwelling units to PT stops [10,14,15]. A key component in modelling access to PT stops is the walking distance. Typically, the maximum acceptable walking distance is considered as 400 and 800 m for PT stops or stations [7,11,16].Although physical access to PT stops is important, the time taken to travel between an origin and destination by PT modes can be considered as another significant factor [1]. Along with studies that focus on access to PT stops, some studies focus on the duration of a journey undertaken by PT modes [17,18]. O'Sullivan et al.[17] measured PT accessibility generating maps of accessible areas with the same travel time. In another study, Cheng and Agrawal [19] introduced...

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GIS based destination accessibility via public transit and walking in Auckland, New Zealand

Cited by 317 publications

References 31 publications

Measuring the Accessibility of Public Transport: A Critical Comparison Between Methods in Helsinki

Measuring the Accessibility of Public Transport: A Critical Comparison Between Methods in Helsinki

Making accessibility analyses accessible: A tool to facilitate the public review of the effects of regional transportation plans on accessibility

Retracted: Modeling access to public transport in urban areas

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