scholarly journals Deficiencies in Public Transit Accessibility of Healthcare Facilities in Chicago

2020 ◽  
Vol 89 ◽  
pp. 102869
Author(s):  
Javad Jomehpour Chahar Aman ◽  
Janille Smith-Colin

Author(s):  
Andres Sevtuk ◽  
Reza Amindarbari

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.


2016 ◽  
Vol 137 ◽  
pp. 132-140 ◽  
Author(s):  
Chen Yan-yan ◽  
Wei Pan-yi ◽  
Lai Jian-hui ◽  
Feng Guo-chen ◽  
Li Xin ◽  
...  

Author(s):  
Tanhua Jin ◽  
Long Cheng ◽  
Zhicheng Liu ◽  
Jun Cao ◽  
Haosheng Huang ◽  
...  

Urban Studies ◽  
2016 ◽  
Vol 54 (15) ◽  
pp. 3480-3499 ◽  
Author(s):  
Wei Li ◽  
Kenneth Joh

Planners and policy makers are increasingly promoting biking and public transit as viable means of transportation. The integration of bicycling and transit has been acknowledged as a strategy to increase the mode share of bicycling and the efficiency of public transit by solving the first- and last-mile problem. However, the economic outcomes of jointly promoting neighbourhood bikeability and transit accessibility are still poorly understood. This study aims to assess the property value impact of neighbourhood bikeability, transit accessibility, and their synergistic effect by analysing the single-family and condominium property sale transactions during 2010–2012 in Austin, Texas, USA. Our Cliff-Ord spatial hedonic modelling approach, which is also known as the general spatial model (or SAC), controls for the spatial dependent effects in the sale price and the error terms simultaneously. In order to quantify neighbourhood bikeability and transit accessibility, we use Bike Score and Transit Score as publicly available indices. We have assessed how residents’ willingness to pay (WTP) for bikeability and transit accessibility depend on various socio-demographic and built-environment factors, and whether the WTP is influenced by the bicycle-transit synergy. The results from this research show that jointly enhancing bikeability and transit accessibility can generate positive synergistic effects on property values. The effects would behoove policy makers to pursue the coordination of bicycle master plans with regional transit plans and to consider strategies of spatially-joint bicycle and transit investment.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Yuqin Jiang ◽  
Diansheng Guo ◽  
Zhenlong Li ◽  
Michael E. Hodgson

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.


Sign in / Sign up

Export Citation Format

Share Document