Matching Items (4)
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- All Subjects: Spatial analysis
- All Subjects: Visioning
- Creators: Golub, Aaron
Description
Cordon pricing strategies attempt to charge motorists for the marginal social costs of driving in heavily congested areas, lure them out of their vehicles and into other modes, and thereby reduce vehicle miles traveled and congestion-related externalities. These strategies are gaining policy-makers` attention worldwide. The benefits and costs of such strategies can potentially lead to a disproportionate and inequitable burden on lower income commuters, particularly those commuters with poor accessibility to alternative modes of transportation. Strategies designed to mitigate the impacts of cordon pricing for disadvantaged travelers, such as discount and exemptions, can reduce the effectiveness of the pricing strategy. Transit improvements using pricing fee revenues are another mitigation strategy, but can be wasteful and inefficient if not properly targeted toward those most disadvantaged and in need. This research examines these considerations and explores the implications for transportation planners working to balance goals of system effectiveness, efficiency, and equity. First, a theoretical conceptual model for analyzing the justice implications of cordon pricing is presented. Next, the Mobility Access and Pricing Study, a cordon pricing strategy examined by the San Francisco County Transportation Authority is analyzed utilizing a neighborhood-level accessibility-based approach. The fee-payment impacts for low-income transportation-disadvantaged commuters within the San Francisco Bay area are examined, utilizing Geographic Information Systems coupled with data from the Longitudinal Employment and Household Dynamics program of the US Census Bureau. This research questions whether the recommended blanket 50% discount for low-income travelers would unnecessarily reduce the overall efficiency and effectiveness of the cordon pricing system. It is proposed that reinvestment of revenue in transportation-improvement projects targeted at those most disproportionately impacted by tolling fees, low-income automobile-dependent peak-period commuters in areas with poor access to alternative modes, would be a more suitable mitigation strategy. This would not only help maintain the efficiency and effectiveness of the cordon pricing system, but would better address income, modal and spatial equity issues. The results of this study demonstrate how the spatial distribution of the toll-payment impacts may burden low-income residents in quite different ways, thereby warranting the inclusion of such analysis in transportation planning and practice.
ContributorsKelley, Jason L (Author) / Golub, Aaron (Thesis advisor) / Boone, Christopher (Committee member) / Guhathakarta, Subhrahit (Committee member) / Arizona State University (Publisher)
Created2013
Description
Over the last two decades programs and mandates to encourage and foster sustainable urban development have arisen throughout the world, as cities have emerged as key opportunity sites for sustainable development due to the compactness and localization of services and resources. In order to recognize this potential, scholars and practitioners have turned to the practice of visioning as a way to motivate actions and decision making toward a sustainable future. A "vision" is defined as desirable state in the future and scholars believe that the creation of a shared, motivational vision is the best starting point to catalyze positive and sustainable change. However, recent studies on city visions indicate that they do not offer substantive sustainability content, and methods or processes to evaluate the sustainability content of the resulting vision (sustainability appraisal or assessment) are often absent from the visioning process. Thus, this paper explores methods for sustainability appraisal and their potential contributions to (and in) visioning. The goal is to uncover the elements of a robust sustainability appraisal and integrate them into the visioning process. I propose an integrated sustainability appraisal procedure based on sustainability criteria, indicators, and targets as part of a visioning methodology that was developed by a team of researchers at Arizona State University (ASU) of which I was a part. I demonstrate the applicability of the appraisal method in a case study of visioning in Phoenix, Arizona. The proposed method allows for early and frequent consideration and evaluation of sustainability objectives for urban development throughout the visioning process and will result in more sustainability-oriented visions. Further, it can allow for better measurement and monitoring of progress towards sustainability goals, which can make the goals more tangible and lead to more accountability for making progress towards the development of more sustainable cities in the future.
ContributorsMinowitz, Amy (Author) / Wiek, Arnim (Thesis advisor) / Golub, Aaron (Committee member) / Pfeiffer, Deirdre (Committee member) / Arizona State University (Publisher)
Created2013
Description
Planners are often involved in the development of 'visions' for specific projects or larger plans. These visions often serve as guideposts for more specific plans or projects and the visioning process is important for involving community members into the planning process. This paper provides a review of the recent literature published about visioning and is intended to provide guidance for visioning activities in planning projects. I use the general term "vision" in reference to a desirable state in the future. The body of academic literature on visioning in planning has been growing over the last decade. However, the planning literature on visioning is diverse and dispersed, posing various challenges to researchers and planners seeking guidance for their own planning (research) activities. For one, relevant articles on visioning are scattered over different strands of literature ranging from traditional planning literature (Journal of the American Planning Association, Planning Practice and Research, etc.) to less traditional and intuitive sources (Futures, Journal of Cross-Cultural Psychology). Further, some of them not easily identifiable and may not be openly accessible via the Internet. Thus, our review intends to help collect and synthesize this literature and begin to provide guidance for the future of visioning in the field of planning. I do this by compiling visioning literature from different strands of the planning literature, synthesizing key insights into visioning in (urban) planning, undertaking exemplary appraisals of visioning approaches in planning against quality criteria, and deriving conclusions for visioning research and practice. From this review, I highlight areas of opportunity and ways forward in order to make visioning more effective and more influential for the future of communities throughout the world.
ContributorsMinowitz, Amy (Author) / Golub, Aaron (Thesis advisor) / Wiek, Arnim (Committee member) / Pfeiffer, Deirdre (Committee member) / Arizona State University (Publisher)
Created2013
Description
Fossil fuel CO2 (FFCO2) emissions are recognized as the dominant greenhouse gas driving climate change (Enting et. al., 1995; Conway et al., 1994; Francey et al., 1995; Bousquet et. al., 1999). Transportation is a major component of FFCO2 emissions, especially in urban areas. An improved understanding of on-road FFCO2 emission at high spatial resolution is essential to both carbon science and mitigation policy. Though considerable research has been accomplished within a few high-income portions of the planet such as the United States and Western Europe, little work has attempted to comprehensively quantify high-resolution on-road FFCO2 emissions globally. Key questions for such a global quantification are: (1) What are the driving factors for on-road FFCO2 emissions? (2) How robust are the relationships? and (3) How do on-road FFCO2 emissions vary with urban form at fine spatial scales?
This study used urban form/socio-economic data combined with self-reported on-road FFCO2 emissions for a sample of global cities to estimate relationships within a multivariate regression framework based on an adjusted STIRPAT model. The on-road high-resolution (whole-city) regression FFCO2 model robustness was evaluated by introducing artificial error, conducting cross-validation, and assessing relationship sensitivity under various model specifications. Results indicated that fuel economy, vehicle ownership, road density and population density were statistically significant factors that correlate with on-road FFCO2 emissions. Of these four variables, fuel economy and vehicle ownership had the most robust relationships.
A second regression model was constructed to examine the relationship between global on-road FFCO2 emissions and urban form factors (described by population
ii
density, road density, and distance to activity centers) at sub-city spatial scales (1 km2). Results showed that: 1) Road density is the most significant (p<2.66e-037) predictor of on-road FFCO2 emissions at the 1 km2 spatial scale; 2) The correlation between population density and on-road FFCO2 emissions for interstates/freeways varies little by city type. For arterials, on-road FFCO2 emissions show a stronger relationship to population density in clustered cities (slope = 0.24) than dispersed cities (slope = 0.13). FFCO2 3) The distance to activity centers has a significant positive relationship with on-road FFCO2 emission for the interstate and freeway toad types, but an insignificant relationship with the arterial road type.
This study used urban form/socio-economic data combined with self-reported on-road FFCO2 emissions for a sample of global cities to estimate relationships within a multivariate regression framework based on an adjusted STIRPAT model. The on-road high-resolution (whole-city) regression FFCO2 model robustness was evaluated by introducing artificial error, conducting cross-validation, and assessing relationship sensitivity under various model specifications. Results indicated that fuel economy, vehicle ownership, road density and population density were statistically significant factors that correlate with on-road FFCO2 emissions. Of these four variables, fuel economy and vehicle ownership had the most robust relationships.
A second regression model was constructed to examine the relationship between global on-road FFCO2 emissions and urban form factors (described by population
ii
density, road density, and distance to activity centers) at sub-city spatial scales (1 km2). Results showed that: 1) Road density is the most significant (p<2.66e-037) predictor of on-road FFCO2 emissions at the 1 km2 spatial scale; 2) The correlation between population density and on-road FFCO2 emissions for interstates/freeways varies little by city type. For arterials, on-road FFCO2 emissions show a stronger relationship to population density in clustered cities (slope = 0.24) than dispersed cities (slope = 0.13). FFCO2 3) The distance to activity centers has a significant positive relationship with on-road FFCO2 emission for the interstate and freeway toad types, but an insignificant relationship with the arterial road type.
ContributorsSong, Yang (Author) / Gurney, Kevin (Thesis advisor) / Kuby, Michael (Committee member) / Golub, Aaron (Committee member) / Chester, Mikhail (Committee member) / Selover, Nancy (Committee member) / Arizona State University (Publisher)
Created2018