scholarly journals An Evaluating Method of Public Transit Accessibility for Urban Areas Based on GIS

2016 ◽  
Vol 137 ◽  
pp. 132-140 ◽  
Author(s):  
Chen Yan-yan ◽  
Wei Pan-yi ◽  
Lai Jian-hui ◽  
Feng Guo-chen ◽  
Li Xin ◽  
...  
Keyword(s):  
Urban Areas ◽  
Public Transit ◽  
Transit Accessibility ◽  
Evaluating Method

scholarly journals A novel big data approach to measure and visualize urban accessibility

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Yuqin Jiang ◽  
Diansheng Guo ◽  
Zhenlong Li ◽  
Michael E. Hodgson
Keyword(s):  
New York ◽  
Big Data ◽  
Urban Areas ◽  
Public Transit ◽  
Spatiotemporal Resolution ◽  
Diurnal Variability ◽  
Relative Index ◽  
Transit Accessibility ◽  
Urban Accessibility ◽  
Bus Services

AbstractAccessibility is a topic of interest to multiple disciplines for a long time. In the last decade, the increasing availability of data may have exceeded the development of accessibility modeling approaches, resulting in a modeling gap. In part, this modeling gap may have resulted from the differences needed for single versus multimodal opportunities for access to services. With a focus on large volumes of transportation data, a new measurement approach, called Urban Accessibility Relative Index (UARI), was developed for the integration of multi-mode transportation big data, including taxi, bus, and subway, to quantify, visualize and understand the spatiotemporal patterns of accessibility in urban areas. Using New York City (NYC) as the case study, this paper applies the UARI to the NYC data at a 500-m spatial resolution and an hourly temporal resolution. These high spatiotemporal resolution UARI maps enable us to measure, visualize, and compare the variability of transportation service accessibility in NYC across space and time. Results demonstrate that subways have a higher impact on public transit accessibility than bus services. Also, the UARI is greatly affected by diurnal variability of public transit service.

Accessibility Impacts of Park-and-Ride Systems

2019 ◽  
Vol 2673 (9) ◽  
pp. 72-82 ◽  
Author(s):  
Kristin Carlson ◽  
Andrew Owen
Keyword(s):  
Travel Time ◽  
Urban Areas ◽  
Mixed Mode ◽  
Metropolitan Region ◽  
Twin Cities ◽  
Park And Ride ◽  
Transit Accessibility ◽  
Study Results ◽  
Morning Commute ◽  
Average Worker

This work presents a methodology for calculating park-and-ride (PNR) accessibility and provides case study results for the Minneapolis–Saint Paul, Minnesota (Twin Cities) facility system. PNR is a form of mixed-mode transit travel which is studied for its impacts on access to opportunities. Regional PNR systems offer a long-standing and widespread example of the collective benefits of mixed-mode travel. The Twin Cities metropolitan region has over 100 PNR facilities that are primarily connected to business districts through express and limited-stop transit service. PNR trip types require automobile and transit travel time matrices to link across space and time to capture mixed-mode travel characteristics. The resulting matrix is used in a cumulative accessibility analysis in which total jobs accessible within a travel time threshold is the variable of interest. Experimental results indicate that PNR facilities affect the suburban transit accessibility profile more than exurban or urban areas during the morning commute. The average worker-weighted job accessibility for a 30-min PNR trip increases by 230% from the comparable walk-to-transit measure. The transit accessibility made available through PNR facilities highlights the need to include PNR trip types in transit accessibility analyses and suggests that current methods underestimate transit accessibility in suburban regions.

Transit Deserts: Equity analysis of public transit accessibility

2020 ◽  
Vol 89 ◽  
pp. 102869
Author(s):  
Javad Jomehpour Chahar Aman ◽  
Janille Smith-Colin
Keyword(s):  
Public Transit ◽  
Equity Analysis ◽  
Transit Accessibility

scholarly journals Does metropolitan form affect transportation sustainability? Evidence from US metropolitan areas

2020 ◽  
pp. 239980832097131
Author(s):  
Andres Sevtuk ◽  
Reza Amindarbari
Keyword(s):  
Economies Of Scale ◽  
Scaling Laws ◽  
Metropolitan Areas ◽  
Public Transit ◽  
Transit Accessibility ◽  
Transportation Sustainability ◽  
Open Source Gis ◽  
Prior Literature ◽  
Urban Scaling ◽  
Cultural Origins

In this paper, we examine transportation sustainability in American metropolitan areas using transportation-related CO2 emissions, public transit accessibility, and commuting times as indicators. Though variations in these indicators may stem from historic contexts, policies, institutional arrangements, social and cultural origins, the spatial structure of metropolitan areas—in particular their formal characteristics—may also be a contributing factor. To test this relationship, we identify metropolitan form metrics from prior literature that are expected to impact transportation outcomes, and choose five metrics to which we introduce significant improvements. We apply the metrics to all 166 Combined Statistical Areas in the US, using an open-source GIS toolbox released along with the paper. Our findings demonstrate that form-based metrics provide a better explanation to CO2 emissions, public transit accessibility, and commuting times in US metro areas than the simpler population size or density metrics typically used in practice. We also show that counter to prior literature on urban scaling laws and economies of scale, which have argued that larger cities and metro areas are more sustainable per capita, transport-related CO2 emissions and transit accessibility are actually less favorable in larger CSAs when controlling for formal characteristics of metropolitan areas. Instead of scale, compactness has the highest elasticity with respect to transportation sustainability of metro areas.

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