| 1 |
Huang J, Kwan MP. Associations between COVID-19 risk, multiple environmental exposures, and housing conditions: A study using individual-level GPS-based real-time sensing data. Appl Geogr 2023;153:102904. [PMID: 36816398 DOI: 10.1016/j.apgeog.2023.102904] [Reference Citation Analysis]
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| 2 |
Wei L, Kwan MP, Vermeulen R, Helbich M. Measuring environmental exposures in people's activity space: The need to account for travel modes and exposure decay. J Expo Sci Environ Epidemiol 2023. [PMID: 36788269 DOI: 10.1038/s41370-023-00527-z] [Reference Citation Analysis]
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| 3 |
Wei L, Kwan M, Vermeulen R, Helbich M. Measuring environmental exposures in people’s activity space: The need to account for travel modes and exposure decay.. [DOI: 10.1101/2023.01.06.23284161] [Reference Citation Analysis]
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| 4 |
Cox DJ, Javed A, Sosine J, Cordeiro C, Sotomayor J. Data recording and analysis. Applied Behavior Analysis Advanced Guidebook 2023. [DOI: 10.1016/b978-0-323-99594-8.00009-x] [Reference Citation Analysis]
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| 5 |
Zhang L, Zhou S, Kwan MP. The temporality of geographic contexts: Individual environmental exposure has time-related effects on mood. Health Place 2023;79:102953. [PMID: 36512953 DOI: 10.1016/j.healthplace.2022.102953] [Reference Citation Analysis]
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| 6 |
Aisuwarya R, Akbar I. Design of Wearable Device for Monitoring the Position of A Person with Dementia. 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) 2022. [DOI: 10.1109/isriti56927.2022.10052986] [Reference Citation Analysis]
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| 7 |
Li J, Peterson A, Auchincloss AH, Hirsch JA, Rodriguez DA, Melly SJ, Moore KA, Diez-roux AV, Sánchez BN. Comparing effects of Euclidean buffers and network buffers on associations between built environment and transport walking: the Multi-Ethnic Study of Atherosclerosis. Int J Health Geogr 2022;21. [DOI: 10.1186/s12942-022-00310-7] [Reference Citation Analysis]
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| 8 |
Xiong Q, Liu Y, Xing L, Xie P, Liu Y. Exploring temporal and spatial reliability of individual activity space measurements using massive mobile phone data. Transactions in GIS. [DOI: 10.1111/tgis.12978] [Reference Citation Analysis]
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| 9 |
Huang J, Kwan M. Examining the Influence of Housing Conditions and Daily Greenspace Exposure on People’s Perceived COVID-19 Risk and Distress. IJERPH 2022;19:8876. [DOI: 10.3390/ijerph19148876] [Reference Citation Analysis]
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| 10 |
Huang J, Kwan M, Cai J, Song W, Yu C, Kan Z, Yim SH. Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research. Sensors 2022;22:2381. [DOI: 10.3390/s22062381] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
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| 11 |
Guo Z, Liu X, Zhao P. A Vector Field Approach to Estimating Environmental Exposure Using Human Activity Data. IJGI 2022;11:135. [DOI: 10.3390/ijgi11020135] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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| 12 |
Su L, Zhou S, Kwan M, Chai Y, Zhang X. The impact of immediate urban environments on people’s momentary happiness. Urban Studies 2022;59:140-60. [DOI: 10.1177/0042098020986499] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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| 13 |
Kwan M. Human Mobility and the Neighborhood Effect Averaging Problem (NEAP). New Thinking in GIScience 2022. [DOI: 10.1007/978-981-19-3816-0_11] [Reference Citation Analysis]
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| 14 |
Zhang F, Loo BPY, Wang B. Aging in Place: From the Neighborhood Environment, Sense of Community, to Life Satisfaction. Annals of the American Association of Geographers. [DOI: 10.1080/24694452.2021.1985954] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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| 15 |
Xu S, Zou B, Xiong Y, Wan N, Feng H, Hu C, Lin Y. High spatiotemporal resolution mapping of PM2.5 concentrations under a pollution scene assumption. Journal of Cleaner Production 2021;326:129409. [DOI: 10.1016/j.jclepro.2021.129409] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
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| 16 |
King B, Rishworth A. Infectious addictions: Geographies of colliding epidemics. Progress in Human Geography 2022;46:139-55. [DOI: 10.1177/03091325211052040] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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| 17 |
Delmelle EM, Desjardins MR, Jung P, Owusu C, Lan Y, Hohl A, Dony C. Uncertainty in geospatial health: challenges and opportunities ahead. Ann Epidemiol 2021;65:15-30. [PMID: 34656750 DOI: 10.1016/j.annepidem.2021.10.002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
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| 18 |
Li M, Kwan M, Chen J, Wang J, Yin J, Yu D. Measuring emergency medical service (EMS) accessibility with the effect of city dynamics in a 100-year pluvial flood scenario. Cities 2021;117:103314. [DOI: 10.1016/j.cities.2021.103314] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
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| 19 |
Huang J, Kwan M. Uncertainties in the Assessment of COVID-19 Risk: A Study of People’s Exposure to High-Risk Environments Using Individual-Level Activity Data. Annals of the American Association of Geographers. [DOI: 10.1080/24694452.2021.1943301] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
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| 20 |
Zhang L, Zhou S, Kwan MP, Shen M. Assessing individual environmental exposure derived from the spatiotemporal behavior context and its impacts on mental health. Health Place 2021;71:102655. [PMID: 34482159 DOI: 10.1016/j.healthplace.2021.102655] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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| 21 |
Yang D, Ye C, Xu J. Land-Use Change and Health Risks in the Process of Urbanization: A Spatiotemporal Interpretation of a Typical Case in Changzhou, China. Land 2021;10:820. [DOI: 10.3390/land10080820] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
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| 22 |
Ta N, Kwan M, Lin S, Zhu Q. The activity space-based segregation of migrants in suburban Shanghai. Applied Geography 2021;133:102499. [DOI: 10.1016/j.apgeog.2021.102499] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
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| 23 |
Sauer J, Stewart K, Dezman ZDW. A spatio-temporal Bayesian model to estimate risk and evaluate factors related to drug-involved emergency department visits in the greater Baltimore metropolitan area. J Subst Abuse Treat 2021;:108534. [PMID: 34172342 DOI: 10.1016/j.jsat.2021.108534] [Reference Citation Analysis]
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| 24 |
Baranyi G, Di Marco MH, Russ TC, Dibben C, Pearce J. The impact of neighbourhood crime on mental health: A systematic review and meta-analysis. Soc Sci Med 2021;282:114106. [PMID: 34139480 DOI: 10.1016/j.socscimed.2021.114106] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 7.0] [Reference Citation Analysis]
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| 25 |
Bettis AH, Burke TA, Nesi J, Liu RT. Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review. Clinical Psychological Science 2022;10:3-26. [DOI: 10.1177/21677026211011982] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
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| 26 |
Lee K, Kwan M. Interpretation of contextual influences with explanatory tools: Travel mode likelihood mapping using GPS trajectories. Transactions in GIS 2021;25:1301-1330. [DOI: 10.1111/tgis.12729] [Reference Citation Analysis]
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| 27 |
Li J, Wang X, He Z, Zhang T. A personalized activity-based spatiotemporal risk mapping approach to the COVID-19 pandemic. Cartography and Geographic Information Science 2021;48:275-91. [DOI: 10.1080/15230406.2021.1906752] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
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| 28 |
Christensen A, Griffiths C, Hobbs M, Gorse C, Radley D. Accuracy of buffers and self-drawn neighbourhoods in representing adolescent GPS measured activity spaces: An exploratory study. Health Place 2021;69:102569. [PMID: 33882372 DOI: 10.1016/j.healthplace.2021.102569] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
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| 29 |
Zhao P, Jonietz D, Raubal M. Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data. International Journal of Geographical Information Science 2021;35:2187-215. [DOI: 10.1080/13658816.2020.1862126] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
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| 30 |
Yuan M. GIS research to address tensions in geography. Singapore Journal of Tropical Geography 2021;42:13-30. [DOI: 10.1111/sjtg.12344] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
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| 31 |
Wang H, Kwan M, Hu M. Usage of Urban Space and Sociospatial Differentiation of Income Groups: A Case Study of Nanjing, China. Tijds voor econ en Soc Geog 2020;111:616-33. [DOI: 10.1111/tesg.12399] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
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| 32 |
Dean J, Biglieri S, Drescher M, Garnett A, Glover T, Casello J. Thinking relationally about built environments and walkability: A study of adult walking behavior in Waterloo, Ontario. Health Place 2020;64:102352. [PMID: 32838880 DOI: 10.1016/j.healthplace.2020.102352] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 4.3] [Reference Citation Analysis]
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| 33 |
Kim J, Kwan M. How Neighborhood Effect Averaging Might Affect Assessment of Individual Exposures to Air Pollution: A Study of Ozone Exposures in Los Angeles. Annals of the American Association of Geographers 2021;111:121-40. [DOI: 10.1080/24694452.2020.1756208] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 5.3] [Reference Citation Analysis]
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| 34 |
Wang H, Kwan M, Hu M. Social exclusion and accessibility among low- and non-low-income groups: A case study of Nanjing, China. Cities 2020;101:102684. [DOI: 10.1016/j.cities.2020.102684] [Cited by in Crossref: 20] [Cited by in F6Publishing: 24] [Article Influence: 6.7] [Reference Citation Analysis]
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| 35 |
Demoraes F, Souris M, Contreras Gatica Y. Live Nearby, Be Different, Work Apart? Some Learnings from Action Spaces Discrepancies in Santiago de Chile. Geogr Anal 2021;53:329-54. [DOI: 10.1111/gean.12232] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
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| 36 |
Demoraes F, Gouëset V, Bouquet M. Using "space-time of action" to assess changes in accessibility: the example of Bogotá between 1993 and 2009. cybergeo 2020. [DOI: 10.4000/cybergeo.34149] [Reference Citation Analysis]
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| 37 |
Tao S, He SY, Kwan M, Luo S. Does low income translate into lower mobility? An investigation of activity space in Hong Kong between 2002 and 2011. Journal of Transport Geography 2020;82:102583. [DOI: 10.1016/j.jtrangeo.2019.102583] [Cited by in Crossref: 26] [Cited by in F6Publishing: 20] [Article Influence: 8.7] [Reference Citation Analysis]
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| 38 |
Ma J, Tao Y, Kwan M, Chai Y. Assessing Mobility-Based Real-Time Air Pollution Exposure in Space and Time Using Smart Sensors and GPS Trajectories in Beijing. Annals of the American Association of Geographers 2020;110:434-48. [DOI: 10.1080/24694452.2019.1653752] [Cited by in Crossref: 29] [Cited by in F6Publishing: 13] [Article Influence: 7.3] [Reference Citation Analysis]
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