Skip to content

Chandigarh: City and Periphery.

Chalana, Manish. (2015). Chandigarh: City and Periphery. Journal Of Planning History, 14(1), 62 – 84.

View Publication

Abstract

This article traces the history of the greenbelt of Chandigarh, India's first modernist city, designed by Le Corbusier. The zone's protection was mandated by the Periphery Control Act of 1952, although the act's contents are often misinterpreted and do not fully reflect the project team's complex vision. This work clarifies the intentions behind the Periphery's creation, and establishes its integration with the master plan. I demonstrate how ongoing transformations violate the spirit of the Periphery's original purpose, but rarely the letter of the law. I highlight ongoing conflicts whose resolution will fundamentally shape the future of the Periphery and the master plan of Chandigarh.

Keywords

Greenbelts; Urban Planning; Urban Cores; Landscape Protection; Architecture; Government Policy; Twentieth Century; History Of India, 1947-; Chandigarh (india); India; Chandigarh; Greenbelt; Le Corbusier; Modernism; Periphery; Le Corbusier, 1887-1965

For Democracy: Planning and Publics Without the State

Purcell, Mark. (2016). For Democracy: Planning and Publics Without the State. Planning Theory, 15(4), 386 – 401.

View Publication

Abstract

This article argues that planning should develop a robust conception of publics without the State. We should do so because the State is a necessarily oligarchical arrangement that prevents us from achieving real democracy. We should explore publics without the State in both theory and practice.

Keywords

Participation; Democracy; Hobbes; Locke; Publics; State

Medical Facilities in the Neighborhood and Incidence of Sudden Cardiac Arrest

Goh, Charlene E.; Mooney, Stephen J.; Siscovick, David S.; Lemaitre, Rozenn N.; Hurvitz, Philip; Sotoodehnia, Nona; Kaufman, Tanya K.; Zulaika, Garazi; Lovasi, Gina S. (2018). Medical Facilities in the Neighborhood and Incidence of Sudden Cardiac Arrest. Resuscitation, 130, 118 – 123.

View Publication

Abstract

Background: Medical establishments in the neighborhood, such as pharmacies and primary care clinics, may play a role in improving access to preventive care and treatment and could explain previously reported neighborhood variations in sudden cardiac arrest (SCA) incidence and survival. Methods: The Cardiac Arrest Blood Study Repository is a population-based repository of data from adult cardiac arrest patients and population-based controls residing in King County, Washington. We examined the association between the availability of medical facilities near home with SCA risk, using adult (age 18-80) Seattle residents experiencing cardiac arrest (n = 446) and matched controls (n = 208) without a history of heart disease. We also analyzed the association of major medical centers near the event location with emergency medical service (EMS) response time and survival among adult cases (age 18+) presenting with ventricular fibrillation from throughout King County (n = 1537). The number of medical facilities per census tract was determined by geocoding business locations from the National Establishment Time-Series longitudinal database 1990-2010. Results: More pharmacies in the home census tract was unexpectedly associated with higher odds of SCA (OR: 1.28, 95% CI: 1.03, 1.59), and similar associations were observed for other medical facility types. The presence of a major medical center in the event census tract was associated with a faster EMS response time (-53 s, 95% CI: -84, -22), but not with short-term survival. Conclusions: We did not observe a protective association between medical facilities in the home census tract and SCA risk, orbetween major medical centers in the event census tract and survival.

Keywords

Cardiac Arrest; Medical Care; Emergency Medical Services; Ventricular Fibrillation; Heart Diseases; Patients; Medical Facilities; Neighborhood; Observational Study; Sudden Cardiac Arrest; Survival; Ambulance Response-times; Socioeconomic-status; Association; Care; Resuscitation; Disparities; Population; Provision; Disease

A Comparative Study on Urban Underground Space Planning System between China and Japan

Yuan, Hong; He, Yuan; Wu, Yuanyuan. (2019). A Comparative Study on Urban Underground Space Planning System between China and Japan. Sustainable Cities And Society, 48.

View Publication

Abstract

In China, urban underground space (UUS) planning is still in the exploration stage, and its development is hindered by problems related to local autonomy, systemic deficiency and poor management. This paper compared and analyzed the development status of UUS planning in China and Japan to study the differences in terms of planning objectives, planning structure, and planning content of UUS, and made suggestions for the future development of China's UUS planning system. Since there are many difficulties in underground master planning in China to predict the planning scale of UUS, planning can only serve to provide planning principles and site selections. Instead, the regulatory detailed planning has legal effect in the planning system and becomes the most direct and powerful tool for the government to control and guide the urban land use. Meanwhile, Japan's underground utilization system is guided by urban agglomeration and can provide an important reference for Chinese development in terms of refined design, human concern, regulation, legislation, and coordination. Urgently, China needs to establish a system for UUS planning and management to promote three-dimensional urban development, establish coordination mechanisms for the detailed planning of UUS, and strengthen the planning of underground transportation networks, complexes, and streets.

Keywords

Development Trends; Resources; Comparison Of Underground Space Planningsystem Between China And Japan; Land System; Uus Master Planning; Uus Regulatory Detailed Planning; Three-dimensional Intensification; Legalization; Environmental And Safety

Does Polycentric Development Produce Less Transportation Carbon Emissions? Evidence from Urban Form Identified by Night-Time Lights Across US Metropolitan Areas

Jung, Meen Chel; Kang, Mingyu; Kim, Sunghwan. (2022). Does Polycentric Development Produce Less Transportation Carbon Emissions? Evidence from Urban Form Identified by Night-Time Lights Across US Metropolitan Areas. Urban Climate, 44.

View Publication

Abstract

Identifying the comprehensive metropolitan urban form is important to propose effective policies to mitigate transportation carbon emissions. A publicly accessible night-time light dataset was used to identify urban centers and develop two polycentric indices to compute the composition and configuration of urban form, respectively. We used the most populous 103 U.S. metropolitan statistical areas (MSAs), with their corresponding transportation carbon emissions, polycentric indices, population sizes, gross domestic product (GDP) per capita, and road network densities. We first explored the typology of urban form and classified MSAs into six types based on two polycentric indices. We then introduced correlation analysis and statistical models to test the relationships between polycentric urban form and transportation carbon emissions. We found: (1) more urban centers lead to more emissions (compositional dimension), (2) more spatially distributed urban centers result in less emissions (configurational dimension), and (3) population and GDP per capita are positively related to carbon emissions. These findings suggest the importance of measuring two polycentric dimensions separately but using them together. Urban planners should consider mixed strategies that combine the traditional intra-center-based smart growth principles and the metropolitan-level inter-centers spatial plan to effectively counteract climate change.

Keywords

Polycentric Urban Form; Urban Centers; Carbon Emissions; Night-time Lights; Smart Growth; Climate Change; Co2 Emissions; Spatial Structure; Satellite Imagery; Cities; Patterns; Trends; Growth; Determinants; China

A Neighborhood Wealth Metric for Use in Health Studies

Moudon, Anne Vernez; Cook, Andrea J.; Ulmer, Jared; Hurvitz, Philip M.; Drewnowski, Adam. (2011). A Neighborhood Wealth Metric for Use in Health Studies. American Journal Of Preventive Medicine, 41(1), 88 – 97.

View Publication

Abstract

Background: Measures of neighborhood deprivation used in health research are typically based on conventional area-based SES. Purpose: The aim of this study is to examine new data and measures of SES for use in health research. Specifically, assessed property values are introduced as a new individual-level metric of wealth and tested for their ability to substitute for conventional area-based SES as measures of neighborhood deprivation. Methods: The analysis was conducted in 2010 using data from 1922 participants in the 2008-2009 survey of the Seattle Obesity Study (SOS). It compared the relative strength of the association between the individual-level neighborhood wealth metric (assessed property values) and area-level SES measures (including education, income, and percentage above poverty as single variables, and as the composite Singh index) on the binary outcome fair/poor general health status. Analyses were adjusted for gender, categoric age, race, employment status, home ownership, and household income. Results: The neighborhood wealth measure was more predictive of fair/poor health status than area-level SES measures, calculated either as single variables or as indices (lower DIC measures for all models). The odds of having a fair/poor health status decreased by 0.85 (95% CI=0.77, 0.93) per $50,000 increase in neighborhood property values after adjusting for individual-level SES measures. Conclusions: The proposed individual-level metric of neighborhood wealth, if replicated in other areas, could replace area-based SES measures, thus simplifying analyses of contextual effects on health. (Am J Prev Med 2011; 41(1): 88-97) (C) 2011 American Journal of Preventive Medicine

Keywords

Health -- Social Aspects; Social Status; Public Health Research; Home Ownership; Income; Real Property; Deprivation (psychology); Health Education; Disparities Geocoding Project; Body-mass Index; Socioeconomic-status; Ecological Fallacy; Built Environment; Deprivation Indexes; Multilevel Analysis; Individual-level; Social-class; Inequalities

Landscapes of Industrial Excess: A Thick Sections Approach to Gas Works Park

Way, Thaisa. (2013). Landscapes of Industrial Excess: A Thick Sections Approach to Gas Works Park. Journal Of Landscape Architecture, 8(1), 28 – 39.

View Publication

Abstract

Gas Works Park in Seattle, WA, designed by Richard Haag Associates and recently listed on the National Register of Historic Landmarks, serves as one of the earliest post-industrial sites to be transformed into a public park through remediation and reclamation. The radical nature of the park lies in its adaptive reuse of waste landscapes, not merely ameliorating contaminated land but transforming it to serve the public. Although officials and residents called for the remains of the industrial plant to be removed, Haag convinced the public to retain elements of the industrial apparatus and, more importantly, to retain and treat the polluted soils. Previous scholarship focuses primarily on the architectural elements, leaving the landscape as mere setting. This article proposes a site narrative as read through the landform. It suggests an alternative reading that gives voice to the site's toxic history.

Keywords

Gas Works Park; Polluted Landscapes; Post-industrial Landscape; Richard Haag; Thick Sections

Residential Property Values Predict Prevalent Obesity but Do Not Predict 1-year Weight Change

Drewnowski, Adam; Aggarwal, Anju; Tang, Wesley; Moudon, Anne Vernez. (2015). Residential Property Values Predict Prevalent Obesity but Do Not Predict 1-year Weight Change. Obesity, 23(3), 671 – 676.

View Publication

Abstract

ObjectiveLower socio economic status (SES) has been linked with higher obesity rates but not with weight gain. This study examined whether SES can predict short-term weight change. MethodsThe Seattle Obesity Study II was based on an observational cohort of 440 adults. Weights and heights were measured at baseline and at 1 year. Self-reported education and incomes were obtained by questionnaire. Home addresses were linked to tax parcel property values from the King County, Washington, tax assessor. Associations among SES variables, prevalent obesity, and 1-year weight change were examined using multivariable linear regressions. ResultsLow residential property values at the tax parcel level predicted prevalent obesity at baseline and at 1 year. Living in the top quartile of house prices reduced obesity risk by 80% at both time points. At 1 year, about 38% of the sample lost >1 kg body weight; 32% maintained ( 1 kg); and 30% gained >1 kg. In adjusted models, none of the baseline SES measures had any impact on 1-year weight change. ConclusionsSES variables, including tax parcel property values, predicted prevalent obesity but did not predict short-term weight change. These findings, based on longitudinal cohort data, suggest other mechanisms are involved in short-term weight change.

Keywords

Body-mass-index; Socioeconomic-status; United-states; Physical-activity; King County; Association; Health; Trends; Gain; Income

Estimating Daily Bicycle Counts in Seattle, Washington, from Seasonal and Weather Factors

Schmiedeskamp, Peter; Zhao, Weiran. (2016). Estimating Daily Bicycle Counts in Seattle, Washington, from Seasonal and Weather Factors. Transportation Research Record, 2593, 94 – 102.

View Publication

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.

Travel Mode Choices in Small Cities of China: A Case Study of Changting

Hu, Hong; Xu, Jiangang; Shen, Qing; Shi, Fei; Chen, Yangjin. (2018). Travel Mode Choices in Small Cities of China: A Case Study of Changting. Transportation Research: Part D, 59, 361 – 374.

View Publication

Abstract

The existing literature on urban transportation planning in China focuses primarily on large cities and neglects small cities. This paper aims to fill part of the knowledge gap by examining travel mode choice in Changting, a small city that has been experiencing fast spatial expansion and growing transportation problems. Using survey data collected from 1470 respondents on weekdays and weekends, the study investigates the relationship between mode choice and individuals' socio-economic characteristics, trip characteristics, attitudes, and home and workplace built environments. While more than 35 percent of survey respondents are car owners, walk, bicycle, e-bike, and motorcycle still account for over 85 percent of trips made during peak hours. E-bike and motorcycle are the dominant means of travel on weekdays, but many people shift to walking and cycling on weekends, making non-motorized and semi-motorized travel especially important for non-commuting trips. Results of multinomial logistic regression show that: (1) job-housing balance might exert different effects on mode choice in different types of urban areas; (2) negative attitude towards e-bike and motorcycle is associated with more walking and cycling; and (3) land use diversity of workplace is related to commuting mode choice on weekdays, while land use diversities of both residential and activity places do not significantly affect mode choice on weekends. Our findings imply that planning and design for small cities needs to differentiate land use and transportation strategies in various types of areas, and to launch outreach programs to shift people's mode choice from motorized travel to walking and cycling.

Keywords

Urban Transportation; Transportation Planning; Outreach Programs; Choice Of Transportation; Commuting; China; Attitude; Built Environment; Mode Choice; Small Cities; Neighborhood Type; Self-selection; Urban Form; Land-use; Behavior; Impact; Attitudes; Ownership; Workers