a r t i c l e i n f o JEL classification: R14 R52 Keywords: R14 Land use patterns R52 Land use and other regulations This paper expands empirical testing of the predictions of the standard monocentric urban model to examine the size of urban spatial expansion for all US metropolitan regions for the years 1980, 1990 and 2000. Until recently, the lack of temporally and spatially-consistently inte...

This paper describes the methods and results of classifications of multi-temporal Landsat TM/ETM+ data of the seven-county Twin Cities Metropolitan Area of Minnesota for 1986, 1991 and 1998. The overall classification accuracies were 95% for the three years, and the change detection accuracy was 88-90%. The classifications showed that the amount of urban or developed land increased from 25.8% t...

This article explores the spatial structure and development of settlements comprising Saint Petersburg agglomeration. Previous studies database sources, which were never used before (the Federal Tax Service [FTS] SPARK-Interfax), are analysed to reveal factors in economic metropolitan areas as well understand how develop Russia’s second-largest city The borders composition agglomeration brought...

This paper investigates the relationship between metropolitan area growth, inequality, and segregation by income across neighborhoods. I propose a simple model based on the notion that rising income inequality creates housing market pressure leading to residential segregation by income. However, because different income groups live in different types of houses, the housing stock must change if ...

In the forty years since the passage of the original Clean Air Act, urban air quality has improved significantly in the United States. Less than a century ago, the vast quantity of coal smoke emitted by urban industries was sufficiently great to obscure the sun, often requiring street lamps in the largest industrial cities to remain lighted throughout the day. Urban residents waged a losing bat...

Taking Harare metropolitan province in Zimbabwe as an example, we classified Landsat imagery (1984, 2002, 2008 and 2013) by using support vector machines (SVMs) and analyzed built-up and non-built-up changes. The overall classification accuracy for the four dates ranged from 89% to 95%, while the overall kappa varied from 86% to 93%. The results demonstrate that SVMs provide a cost-effective te...

The author earlier conducted a research, attempting to make two models, one for understanding, monitoring and describing settlement patterns in metropolitan regions, dependant primarily on remotely sensed data; and the second, for predicting settlement patterns in such regions, using National Capital Region (NCR), of Delhi, India, as a case study. As part of the model, a transferable approach o...

Extreme heat is a leading cause of weather-related human mortality. The urban heat island (UHI) can magnify heat exposure in metropolitan areas. This study investigates the ability of a new MODIS-retrieved near-surface air temperature and humidity dataset to depict urban heat patterns over metropolitan Chicago, Illinois, during June–August 2003–13 under clear-sky conditions. A self-organizing m...

This study explores the extent to which richer central cities are associated with slower suburban sprawl. The authors use a unique approach to categorizing municipalities in urbanized areas based on their relative densities. Richness is measured in terms of the central city’s relative share of high-income households. The central finding (both for the decade from 1990 to 2000 and for 2000 to 200...

This paper documents a little-noticed feature of US labor markets—very large variation in the labor supply of married women across cities. We focus on cross-city differences in commuting times as a potential explanation for this variation. We start with a model in which commuting times introduce non-convexities into the budget set. Empirical evidence is consistent with the model’s predictions: ...