scholarly journals Does Choice of Spatial Unit Matter for Estimating Small-area Disparities in Health and Place Effects in the Vancouver Census Metropolitan Area?

2007 ◽  
Vol 98 (S1) ◽  
pp. S27-S34 ◽  
Author(s):  
Lisa N. Oliver ◽  
Michael V. Hayes
Keyword(s):  
Metropolitan Area ◽  
Small Area ◽  
Spatial Unit ◽  
Health And Place ◽  
Census Metropolitan Area ◽  
Place Effects

scholarly journals Settlement Patterns of Korean Immigrants in the Toronto Census Metropolitan Area (DMA)

2021 ◽  
Author(s):  
Colin Chungshik Kang
Keyword(s):  
Metropolitan Area ◽  
Settlement Patterns ◽  
Korean Immigrants ◽  
Employment Rate ◽  
Ethnic Economy ◽  
Self Employment ◽  
Income Data ◽  
Census Metropolitan Area ◽  
High Level ◽  
Transnational Activities

This paper focuses on settlement patterns of Korean immigrants in the Toronto Census Metropolitan Area (CMA) highlighting their high self-employment rate and active transnational activities. The objectives for the paper are to explore various causes of a high level of self-employment rate among Korean immigrants, and to examine settlement patterns of Korean immigrants in the Toronto CMA by reviewing their immigration data, employment income and self-employment income data, residential locations, ethnic economy and human capital, and to understand how their active transnational activities combined with the factors listed above affected their settlement and integration experiences in Canada as they are inter-connected with various social and economic fabrics of the Korean community in the Toronto CMA.

scholarly journals Spatial Mismatch in the Toronto Census Metropolitan Area : Examining the Commuting Patterns of Immigrants

2021 ◽  
Author(s):  
Liam. Donaldson
Keyword(s):  
Metropolitan Area ◽  
Spatial Mismatch ◽  
Unemployment Rates ◽  
Immigrant Populations ◽  
Cross Tabulation ◽  
Geographic Separation ◽  
Census Metropolitan Area ◽  
Household Incomes ◽  
Commuting Patterns ◽  
Generalized Ordered Logit Model

The spatial mismatch hypothesis argues that the geographic separation between jobs and housing has an adverse effect on the employment outcomes of ethnic minorities. This research paper tests this assumption for immigrant populations in the Toronto Census Metropolitan Area through mapping, cross tabulation and a generalized ordered logit model to determine whether immigrants are at a disadvantage in both the labour market and in terms of commuting distance when compared with Canadian born residents. The results of this study suggest that immigrants are more likely to live over 5 kilometres away from work and that they experience more difficulty in negotiating longer commutes due to higher unemployment rates, lower median household incomes and a greater reliance on transit. In contrast, Canadians are more likely to make daily commutes of over 15 kilometres, however, they are often more capable than immigrants of travelling these increased distances.

scholarly journals EXAMINING URBAN EXPANSION USING MULTI-TEMPORAL LANDSAT IMAGERY: A CASE STUDY OF THE MONTREAL CENSUS METROPOLITAN AREA FROM 1975 TO 2015, CANADA

2016 ◽  
Vol XLI-B8 ◽  
pp. 965-972
Author(s):  
Lingfei Ma ◽  
He Zhao ◽  
Jonathan Li
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Metropolitan Area ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Urban Expansion ◽  
Growth Patterns ◽  
Urbanization Process ◽  
Continuous Growth ◽  
Census Metropolitan Area

Urban expansion, particularly the movement of residential and commercial land use to sub-urban areas in metropolitan areas, has been considered as a significant signal of regional economic development. In 1970s, the economic centre of Canada moved from Montreal to Toronto. Since some previous research have been focused on the urbanization process in Greater Toronto Area (GTA), it is significant to conduct research in its counterpart. This study evaluates urban expansion process in Montréal census metropolitan area (CMA), Canada, between 1975 and 2015 using satellite images and socio-economic data. Spatial and temporal dynamic information of urbanization process was quantified using Landsat imagery, supervised classification algorithms and the post-classification change detection technique. Accuracy of the Landsat-derived land use classification map ranged from 80% to 97%. The results indicated that continuous growth of built-up areas in the CMA over the study period resulted in a decrease in the area of cultivated land and vegetation. The results showed that urban areas expanded 442 km<sup>2</sup> both along major river systems and lakeshores, as well as expanded from urban centres to surrounded areas. The analysis revealed that urban expansion has been largely driven by population growth and economic development. Consequently, the urban expansion maps produced in this research can assist decision-makers to promote sustainable urban development, and forecast potential changes in urbanization growth patterns.

scholarly journals EXAMINING URBAN EXPANSION USING MULTI-TEMPORAL LANDSAT IMAGERY: A CASE STUDY OF THE MONTREAL CENSUS METROPOLITAN AREA FROM 1975 TO 2015, CANADA

2016 ◽  
Vol XLI-B8 ◽  
pp. 965-972 ◽  
Author(s):  
Lingfei Ma ◽  
He Zhao ◽  
Jonathan Li
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Metropolitan Area ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Urban Expansion ◽  
Growth Patterns ◽  
Urbanization Process ◽  
Continuous Growth ◽  
Census Metropolitan Area

Urban expansion, particularly the movement of residential and commercial land use to sub-urban areas in metropolitan areas, has been considered as a significant signal of regional economic development. In 1970s, the economic centre of Canada moved from Montreal to Toronto. Since some previous research have been focused on the urbanization process in Greater Toronto Area (GTA), it is significant to conduct research in its counterpart. This study evaluates urban expansion process in Montréal census metropolitan area (CMA), Canada, between 1975 and 2015 using satellite images and socio-economic data. Spatial and temporal dynamic information of urbanization process was quantified using Landsat imagery, supervised classification algorithms and the post-classification change detection technique. Accuracy of the Landsat-derived land use classification map ranged from 80% to 97%. The results indicated that continuous growth of built-up areas in the CMA over the study period resulted in a decrease in the area of cultivated land and vegetation. The results showed that urban areas expanded 442 km&lt;sup&gt;2&lt;/sup&gt; both along major river systems and lakeshores, as well as expanded from urban centres to surrounded areas. The analysis revealed that urban expansion has been largely driven by population growth and economic development. Consequently, the urban expansion maps produced in this research can assist decision-makers to promote sustainable urban development, and forecast potential changes in urbanization growth patterns.

scholarly journals Revisando los métodos de agregación de unidades espaciales: MAUP, algoritmos y un breve ejemplo / Reviewing spatial unit aggregation methods: MAUP, algorithms and a brief example

2016 ◽  
Vol 31 (2) ◽  
pp. 385 ◽  
Author(s):  
Hada Melissa Sáenz Vela
Keyword(s):  
Metropolitan Area ◽  
Spatial Unit ◽  
Aggregation Methods ◽  
Area Unit ◽  
Modifiable Area Unit Problem

Los métodos de agregación espacial han generado interés en los últimos años debido a su fácil adecuación a diferentes objetivos. Más allá de eso existen razones estadísticas para aconsejar su aplicación: reducen el sesgo generado por el problema de unidad de área modificable (MAUP). En este artículo se presenta una revisión bibliográfica de este problema y de los diferentes métodos de agregación, así como la aplicación de un algoritmo a datos de la Zona Metropolitana del Valle de México.AbstractSpatial aggregation methods have generated interest in recent years due to their ease of adaptation to different objectives. Moreover, there are statistical reasons to support their use: they reduce the bias caused by the modifiable area unit problem (MAUP). This article presents a bibliographical review of this issue and the different aggregation methods, together with the application of an algorithm to data from the Metropolitan Area of the Valley of Mexico.

Sign in / Sign up

Export Citation Format

Share Document