Human Mobility, Spatiotemporal Context, and Environmental Health : : Recent Advances in Approaches and Methods / / Mei-Po Kwan
| Human Mobility, Spatiotemporal Context, and Environmental Health : : Recent Advances in Approaches and Methods / / Mei-Po Kwan |
| Autore | Kwan Mei-Po |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
the elderly
regression analysis walking event green space missing data crop residue burning correlation analysis imputation physical environment crowdedness Guangzhou mobile phone data GPS trace noise pollution mental disorders Beijing urban leisure environmental exposure environmental context cube subway stations air pollution exposure long-distance walking car ownership multilevel model CHAS ecological momentary assessment cycling for transportation cognitive aging 3SFCA interannual and seasonal variations well-being experience personal projects spatial spread E2SFCA activity space catchment areas structural equation modeling transport modes greenspace exposure health train stations human mobility quantile regression the neighborhood effect averaging problem (NEAP) emissions estimation taxi GPS trajectories real-time traffic primary healthcare rail travel spatial accessibility commuting route GPS urban planning environmental health Brazil EMA geographical accessibility big data dynamic assessment obesity healthcare accessibility population demand the uncertain geographic context problem (UGCoP) geographic impedance collective leisure activity multimodal network GIS 2009 influenza A(H1N1) pandemic UGCoP environmental exposures spatial data the uncertain geographic context problem Singapore built environment adults time-weighted exposure geographic imputation Public Participatory GIS (PPGIS) access probability life-course perspectives China walking active travel foodscape exposure car use food environment fuel consumption ageing Healthcare services road traffic accidents space-time kernel density estimation multilevel Bayesian model environmental context exposure index spatial autocorrelation PM concentrations physical activity bike paths |
| ISBN |
9783039211845
3039211846 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346665403321 |
Kwan Mei-Po
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Walkable Neighborhoods: The Link between Public Health, Urban Design, and Transportation
| Walkable Neighborhoods: The Link between Public Health, Urban Design, and Transportation |
| Autore | Oka Koichiro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (234 p.) |
| Soggetto non controllato |
active living
active transport active travel Africa age-friendly environments aging Australia body mass built environment chronic diseases citizen science city planning compact city cycling Discovery Tool disease mapping elderly environment geographic variation health outcomes health promotion infrastructure Istanbul liveability mobility management natural experiment neighborhood neighbourhood non-communicable diseases obese obesity older adult overweight pedestrian flow peripheral neighbourhoods physical activity physical environment policy evaluation public transport questionnaire review scale sedentary behavior sedentary behaviour sitting social connectedness soft mobility spatial analysis step counts street network configuration streetscape features survey traffic safety urban design urban form urban health walkability walkable environment walkable neighborhood walking |
| ISBN | 3-03921-931-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Walkable Neighborhoods |
| Record Nr. | UNINA-9910372785203321 |
Oka Koichiro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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