DOI: 10.1016/j.jag.2015.12.003
Scopus记录号: 2-s2.0-84988699861
论文题名: Exploring the link between urban form and work related transportation using combined satellite image and census information: Case of the Great lakes region
作者: Zhang Y ; , Guindon B ; , Sun K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 47 起始页码: 139
结束页码: 150
语种: 英语
英文关键词: Indicator quantification
; Travel modeling
; Urban form
; Urban land use
; Urban transportation
Scopus关键词: census
; land cover
; land use change
; Landsat
; remote sensing
; satellite imagery
; transportation mode
; urban transport
; Canada
; United States
英文摘要: Aspects of urban transportation have significant implications for resource consumption and environmental quality. The level of travel activity, the viability of various modes of transportation and hence the level of transportation-related emissions are influenced by the structure of cities, i.e., their urban forms. While it is widely recognized that satellite remote sensing can provide spatial information on urban land cover and land use, its effective use for understanding impacts of urban form on issues such as transportation requires that this information be integrated with relevant demographic information. A comprehensive bi-national urban database, the Great Lakes Urban Survey (GLUS), comprising all cities with populations in excess of 200,000 has been created from Landsat imagery and national census and transportation survey information from Canada and the United States. A suite of analysis tools are proposed to utilize information sets such as GLUS to investigate the link between urban form and work-related travel. A new indicator, the Employment Deficit Measure (EDM), is proposed to quantify the balance between employment and worker availability at different transit horizons and hence to assess the viability of alternate modes of transportation. It is argued that the high degree of residential and commercial/industrial land uses greatly impact travel to work mode options as well as commute distance. A spatial interaction model is developed and found to accurately predict travel distance aggregated at the census tract level. We argue that this model could also be used to explore the relative levels of travel activity associated with different urban forms. © 2015 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80121
Appears in Collections: 气候变化事实与影响
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作者单位: Canada Center for Remote Sensing, Natural Resources Canada, 560 Rochester Street, Ottawa, ON, Canada
Recommended Citation:
Zhang Y,, Guindon B,, Sun K. Exploring the link between urban form and work related transportation using combined satellite image and census information: Case of the Great lakes region[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,47