Dunn, Peter T. (2021). Autonomous People: Identity, Agency, and Automated Driving. Journal Of Urban Technology, 28(3-4), 25 – 44.
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Abstract
The prevailing discourse on autonomous vehicles (AVs) has not yet developed a sophisticated conceptualization of autonomy and has given insufficient attention to the autonomy of people. In response, this article shifts our attention away from the AV's autonomy and towards that of its user. Autonomy is conceived here as the socially and materially situated capacity of an individual to identify and act on one's own values and desires, a capacity that is desirable for collective political life. This definition is drawn selectively from a survey of thought illustrating the richness of this concept. I then examine how studies of transportation have already made use of certain themes of autonomy in understanding mobility practices beyond dominant utilitarian models. This sets up an examination of AVs, where the existing literature tends to use a narrow conceptualization of autonomy. I then briefly examine two examples of unsettled questions in AV development, discretionary user controls and shared ride systems, in light of autonomy. The goal of this article is both to show how autonomy can be productive in understanding mobility practices, and to argue for personal autonomy as a normative value worth pursuing in the technical, political, and social development of automated mobility systems.
Keywords
Car Use; Vehicles; Travel; Accidents; Policy; Autonomy; Agency; Autonomous Vehicles; Mobility
Wang, Lan; Zhang, Surong; Yang, Zilin; Zhao, Ziyu; Moudon, Anne Vernez; Feng, Huasen; Liang, Junhao; Sun, Wenyao; Cao, Buyang. (2021). What County-level Factors Influence Covid-19 Incidence in the United States? Findings from the First Wave of the Pandemic. Cities, 118.
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Abstract
Effective control of the COVID-19 pandemic via appropriate management of the built environment is an urgent issue. This study develops a research framework to explore the relationship between COVID-19 incidence and influential factors related to protection of vulnerable populations, intervention in transmission pathways, and provision of healthcare resources. Relevant data for regression analysis and structural equation modeling is collected during the first wave of the pandemic in the United States, from counties with over 100 confirmed cases. In addition to confirming certain factors found in the existing literature, we uncover six new factors significantly associated with COVID-19 incidence. Furthermore, incidence during the lockdown is found to significantly affect incidence after the reopening, highlighting that timely quarantining and treating of patients is essential to avoid the snowballing transmission over time. These findings suggest ways to mitigate the negative effects of subsequent waves of the pandemic, such as special attention of infection prevention in neighborhoods with unsanitary and overcrowded housing, minimization of social activities organized by neighborhood associations, and contactless home delivery service of healthy food. Also worth noting is the need to provide support to people less capable of complying with the stay-at-home order because of their occupations or socio-economic disadvantage.
Keywords
Pandemics; Covid-19; Covid-19 Pandemic; Infection Prevention; Stay-at-home Orders; Structural Equation Modeling; United States; Communicable Disease Prevention; Influential Factors; Lockdown; Structural Equation Modeling (sem); Prevalence; Disease; Healthy Food; Social Activities; Counties; Neighborhoods; Housing; Built Environment; Prevention; Minimization; Socioeconomic Factors; Intervention; Health Care; Vulnerability; Occupations; Coronaviruses; Food Service; Disease Transmission; United States--us
Chalana, Manish. (2010). Slumdogs vs. Millionaires: Balancing Urban Informality and Global Modernity in Mumbai, India. Journal Of Architectural Education, 63(2), 25 – 37.
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Abstract
Mumbai and other Indian cities are rapidly transforming to address the needs of global commerce and the expanding middle class. Mumbai's vernacular environments, home to most working-class residents, are consequently being redeveloped using supermodern global aesthetics. The urbanism emerging from the current wave of modernism is an unprecedented radical departure from existing patterns of place. Proponents claim the new developments serve low-income residents' interests, when actually they ignore fundamental socio-cultural and economic realities. This paper considers two case studies, Dharavi and Girangaon, highlighting a subset of Mumbai's vernacular environments to argue for their significance and to explore alternative redevelopment approaches.
Armbruster, Ginger; Endicott-Popousky, Barbara; Whittington, Jan. (2012). Are We Prepared for the Economic Risk Resulting from Telecom Hotel Disruptions? International Journal Of Critical Infrastructure Protection, 5(2), 55 – 65.
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Abstract
Large and small businesses in Seattle, Washington, as in most urban centers across the United States, increasingly rely on telecom hotels and related telecommunications centers to conduct business operations. What would be the economic impact to these businesses if a natural or man-made disaster were to make this infrastructure unavailable for a significant period of time? How long would it take for the owners of small businesses, which provide the foundation for economic recovery, to give up and move away? Are metropolitan regions prepared for this risk? This paper draws on publicly available reports of telecom hotel investments to examine the economic risks that such telecommunications hubs pose at the regional scale. New York City and Seattle are two urban areas that depend on key investments in telecom hotels. In the Pacific Northwest, these assets are located downtown, primarily in the center of the urban real estate market of Seattle. Although the terrorist attacks of September 11, 2001 were directed at the World Trade Center in Lower Manhattan, collateral damage to a major telecommunications hub brought outages during and after the attacks that highlighted the serious risk posed to small- and mid-sized businesses from disruptions in telecommunications service. The Seattle case study illustrates the potential to learn from the experience in Lower Manhattan and apply this knowledge across the United States. Regional economic analysis of the benefits of and the means to protect small- and mid-sized businesses can provide the basis for strategic investments that minimize economic loss and reduce the recovery time. (C) 2012 Elsevier B.V. All rights reserved.
Keywords
Telecommunications Hubs; Telecom Hotels; Business Continuity; Risk
Kang, Bumjoon; Moudon, Anne V.; Hurvitz, Philip M.; Reichley, Lucas; Saelens, Brian E. (2013). Walking Objectively Measured: Classifying Accelerometer Data with GPS and Travel Diaries. Medicine & Science In Sports & Exercise, 45(7), 1419 – 1428.
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Abstract
Purpose: This study developed and tested an algorithm to classify accelerometer data as walking or nonwalking using either GPS or travel diary data within a large sample of adults under free-living conditions. Methods: Participants wore an accelerometer and a GPS unit and concurrently completed a travel diary for seven consecutive days. Physical activity (PA) bouts were identified using accelerometry count sequences. PA bouts were then classified as walking or nonwalking based on a decision-tree algorithm consisting of seven classification scenarios. Algorithm reliability was examined relative to two independent analysts' classification of a 100-bout verification sample. The algorithm was then applied to the entire set of PA bouts. Results: The 706 participants' (mean age = 51 yr, 62% female, 80% non-Hispanic white, 70% college graduate or higher) yielded 4702 person-days of data and had a total of 13,971 PA bouts. The algorithm showed a mean agreement of 95% with the independent analysts. It classified PA into 8170 walking bouts (58.5 %) and 5337 nonwalking bouts (38.2%); 464 bouts (3.3%) were not classified for lack of GPS and diary data. Nearly 70% of the walking bouts and 68% of the nonwalking bouts were classified using only the objective accelerometer and GPS data. Travel diary data helped classify 30% of all bouts with no GPS data. The mean + SD duration of PA bouts classified as walking was 15.2 + 12.9 min. On average, participants had 1.7 walking bouts and 25.4 total walking minutes per day. Conclusions: GPS and travel diary information can be helpful in classifying most accelerometer-derived PA bouts into walking or nonwalking behavior.
Keywords
Walking; Algorithms; Decision Trees; Geographic Information Systems; Research Funding; Travel; Accelerometry; Diary (literary Form); Descriptive Statistics; Algorithm; Classification; Physical Activity; Walk Trip; Global Positioning Systems; Physical-activity; Environment; Behaviors; Validity; Location
Hoofnagle, Chris Jay; Whittington, Jan. (2014). Free: Accounting for the Costs of the Internet’s Most Popular Price. UCLA Law Review, 61(3), 606 – 670.
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Abstract
Offers of free services abound on the Internet. But the focus on the price rather than on the cost of free services has led consumers into a position of vulnerability. For example, even though internet users typically exchange personal information for the opportunity to use these purportedly free services, one court has found that users of free services are not consumers for purposes of California consumer protection law. This holding reflects the common misconception that the costs of free online transactions are negligible when in fact true costs may be quite significant. To elucidate the true costs of these allegedly free services, we apply a transaction cost economics (TCE) approach. Unlike orthodox economic theory, TCE provides a framework for analyzing exchanges in which the price of the product seems to be zero. Under a TCE analysis, we argue that information-intensive companies misuse the term free to promote products and services that involve numerous nonpecuniary costs. In so doing, firms generate contractual hazards for consumers, ignore consumer preferences for privacy, and mislead consumers by creating the impression that a given transaction will be free. While psychological research and behavioral economics may support an outright ban of free offers because of their biasing effects, TCE suggests reforming governance structures to place the business risks associated with free transactions more firmly in the hands of businesses. We suggest alterations to governance structures such as the Federal Trade Commission's Guide Concerning Use of the Word Free (FTC Guide) to curb the incentives of firms to raise transaction costs for consumers. The FTC Guide provides support for two of the consumer protection measures we propose: first, a requirement that free service providers clearly disclose that such providers seek users' personal information in exchange for those services, and, second, the establishment of a regular price before providers can market a service as free. We further argue that the recognition of users of free services as consumers for purposes of consumer protection law would better align incentives and ensure users access to legal redress against some of the most popular services on the Internet. Lastly, we suggest the adoption of alternative governance structures designed to reduce the cost of transacting by curbing the collection of personal information from consumers of free services and by enhancing the rights of consumers to govern the dispersal of personal information from free online services to third parties.
Keywords
Free Internet Service Providers; Internet Usage Monitoring; Transaction Cost Theory Of The Firm; Internet Privacy -- Law & Legislation; Law; United States. Federal Trade Commission; Vertical Integration; Privacy
Huang, R.; Moudon, A. V.; Cook, A. J.; Drewnowski, A. (2015). The Spatial Clustering of Obesity: Does the Built Environment Matter? Journal Of Human Nutrition & Dietetics, 28(6), 604 – 612.
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Abstract
BackgroundObesity rates in the USA show distinct geographical patterns. The present study used spatial cluster detection methods and individual-level data to locate obesity clusters and to analyse them in relation to the neighbourhood built environment. MethodsThe 2008-2009 Seattle Obesity Study provided data on the self-reported height, weight, and sociodemographic characteristics of 1602 King County adults. Home addresses were geocoded. Clusters of high or low body mass index were identified using Anselin's Local Moran's I and a spatial scan statistic with regression models that searched for unmeasured neighbourhood-level factors from residuals, adjusting for measured individual-level covariates. Spatially continuous values of objectively measured features of the local neighbourhood built environment (SmartMaps) were constructed for seven variables obtained from tax rolls and commercial databases. ResultsBoth the Local Moran's I and a spatial scan statistic identified similar spatial concentrations of obesity. High and low obesity clusters were attenuated after adjusting for age, gender, race, education and income, and they disappeared once neighbourhood residential property values and residential density were included in the model. ConclusionsUsing individual-level data to detect obesity clusters with two cluster detection methods, the present study showed that the spatial concentration of obesity was wholly explained by neighbourhood composition and socioeconomic characteristics. These characteristics may serve to more precisely locate obesity prevention and intervention programmes.
Keywords
Real Property; Ecology; Age Distribution; Anthropometry; Black People; Cluster Analysis (statistics); Communities; Computer Software; Epidemiological Research; Geographic Information Systems; Hispanic Americans; Mathematics; Obesity; Population Geography; Probability Theory; Race; Regression Analysis; Research Funding; Restaurants; Statistical Sampling; Self-evaluation; Sex Distribution; Shopping; Surveys; Telephones; Transportation; White People; Socioeconomic Factors; Body Mass Index; Data Analysis Software; Medical Coding; Statistical Models; Descriptive Statistics; Odds Ratio; Economics; Washington (state); Built Environment; Local Moran's I; Spatial Scan Statistic; Body-mass Index; Physical-activity; United-states; Risk-factors; Neighborhood; Association; Density; Disease; Disparities; Prevalence
Drewnowski, Adam; Aggarwal, Anju; Tang, Wesley; Hurvitz, Philip M.; Scully, Jason; Stewart, Orion; Moudon, Anne Vernez. (2016). Obesity, Diet Quality, Physical Activity, and the Built Environment: The Need for Behavioral Pathways. BMC Public Health, 16.
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Abstract
Background: The built environment ( BE) is said to influence local obesity rates. Few studies have explored causal pathways between home-neighborhood BE variables and health outcomes such as obesity. Such pathways are likely to involve both physical activity and diet. Methods: The Seattle Obesity Study ( SOS II) was a longitudinal cohort of 440 adult residents of King Co, WA. Home addresses were geocoded. Home-neighborhood BE measures were framed as counts and densities of food sources and physical activity locations. Tax parcel property values were obtained from County tax assessor. Healthy Eating Index ( HEI 2010) scores were constructed using data from food frequency questionnaires. Physical activity ( PA) was obtained by self-report. Weights and heights were measured at baseline and following 12 months' exposure. Multivariable regressions examined the associations among BE measures at baseline, health behaviors ( HEI-2010 and physical activity) at baseline, and health outcome both cross-sectionally and longitudinally. Results: None of the conventional neighborhood BE metrics were associated either with diet quality, or with meeting PA guidelines. Only higher property values did predict better diets and more physical activity. Better diets and more physical activity were associated with lower obesity prevalence at baseline and 12 mo, but did not predict weight change. Conclusion: Any links between the BE and health outcomes critically depend on establishing appropriate behavioral pathways. In this study, home-centric BE measures, were not related to physical activity or to diet. Further studies will need to consider a broader range of BE attributes that may be related to diets and health.
Keywords
Body-mass Index; Local Food Environment; Residential Property-values; Supermarket Accessibility; Park Proximity; Neighborhood Walkability; Vegetable Consumption; Atherosclerosis Risk; Restaurant Food; Associations; Built Environment; Physical Activity; Obesity; Diet Quality
Schmiedeskamp, Peter; Zhao, Weiran. (2016). Estimating Daily Bicycle Counts in Seattle, Washington, from Seasonal and Weather Factors. Transportation Research Record, 2593, 94 – 102.
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Abstract
This paper examines the relationship between several seasonal and weather factors and bicycle ridership from 2 years of automated bicycle counts at a location in Seattle, Washington. The authors fitted a negative binomial model and then estimated quantities of interest using counterfactual simulation. The findings confirm the significance of season (+), temperature (+), precipitation (), as well as holidays (-), day of the week (+ for Monday through Saturday, relative to Sunday), and an overall trend (+). This paper improves on prior work by demonstrating the use of the negative binomial instead of a Poisson model, which is appropriate given the potential for overdispersion, as observed in these data. In addition to validating the significance of factors identified from the literature, this paper contributes methodologically through its intuitive visualization of effect sizes to nonstatistical audiences. The authors believe that the combination of model type and counterfactual simulation and visualization reflects a reasonable compromise between model complexity and interpretability. Results such as these can aid policy makers and planners in understanding bicycle travel demand elasticities and in guiding interventions aimed at increasing rates of bicycling. The methods presented are fully reproducible and invite adaptation to other locations.
Gase, Lauren N.; Defosset, Amelia R.; Gakh, Maxim; Harris, Celia; Weisman, Susan R.; Dannenberg, Andrew L. (2017). Review of Education-Focused Health Impact Assessments Conducted in the United States. Journal Of School Health, 87(12), 911 – 922.
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Abstract
BACKGROUNDHealth impact assessment (HIA) provides a structured process for examining the potential health impacts of proposed policies, plans, programs, and projects. This study systematically reviewed HIAs conducted in the United States on prekindergarten, primary, and secondary education-focused decisions. METHODSRelevant HIA reports were identified from web sources in late 2015. Key data elements were abstracted from each report. Four case studies were selected to highlight diversity of topics, methods, and impacts of the assessment process. RESULTSTwenty HIAs completed in 2003-2015 from 8 states on issues related to prekindergarten through secondary education were identified. The types of decisions examined included school structure and funding, transportation to and from school, physical modifications to school facilities, in-school physical activity and nutrition, and school discipline and climate. Assessments employed a range of methods to characterize the nature, magnitude, and severity of potential health impacts. Assessments fostered stakeholder engagement and provided health-promoting recommendations, some of which were subsequently incorporated into school policies. CONCLUSIONSHealth impact assessment is a promising tool that education, health, and other stakeholders can use to maximize the health and well-being of students, families, and communities.
Keywords
Decision Making; Elementary Schools; High Schools; Medical Policy; Medline; Nutrition; Online Information Services; Research Funding; Student Health; Systematic Reviews (medical Research); Search Engines; Physical Activity; Health Impact Assessment; United States; Collaboration; Policy; Public Health; Academic-achievement; Programs