| Title |
Disparities in Urban Neighborhood Conditions: Evidence from GIS Measures and Field Observation in New York City
|
|---|---|
| Published in |
Journal of Public Health Policy, February 2009
|
| DOI | 10.1057/jphp.2008.47 |
| Pubmed ID | |
| Authors |
Kathryn M Neckerman, Gina S Lovasi, Stephen Davies, Marnie Purciel, James Quinn, Eric Feder, Nakita Raghunath, Benjamin Wasserman, Andrew Rundle |
| Abstract |
Although many low-income urban areas are highly walkable by conventional measures such as population density or land use mix, chronic diseases related to lack of physical activity are more common among residents of these areas. Disparities in neighborhood conditions may make poor areas less attractive environments for walking, offsetting the advantages of density and land use mix. This study compared poor and nonpoor neighborhoods in New York City, using geographic information systems measures constructed from public data for US census tracts within New York City (N=2,172) as well as field observation of a matched-pair sample of 76 block faces on commercial streets in poor and nonpoor neighborhoods. Poor census tracts had significantly fewer street trees, landmarked buildings, clean streets, and sidewalk cafes, and higher rates of felony complaints, narcotics arrests, and vehicular crashes. The field observation showed similar results. Improving aesthetic and safety conditions in poor neighborhoods may help reduce disparities in physical activity among urban residents. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Brazil | 2 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 238 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 20% |
| Student > Master | 44 | 18% |
| Researcher | 35 | 14% |
| Student > Doctoral Student | 22 | 9% |
| Student > Bachelor | 17 | 7% |
| Other | 39 | 16% |
| Unknown | 43 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 74 | 29% |
| Environmental Science | 21 | 8% |
| Engineering | 16 | 6% |
| Medicine and Dentistry | 16 | 6% |
| Agricultural and Biological Sciences | 14 | 6% |
| Other | 51 | 20% |
| Unknown | 59 | 24% |