馬靜
人物簡歷
教育經歷
2011年9月- 2015年4月，英國利茲大學地理系，博士
2008年9月- 2011年7月，北京大學城市與環境學院，碩士
2004年9月- 2008年7月，河南大學環境與規劃學院，學士
工作經歷
2018年9月—至今，北京師範大學地理科學學部，副教授
2015年9月- 2018年8月，北京師範大學地理學與遙感科學學院，講師
研究方向
科研項目
「時空行為視角下地理環境對居民主觀幸福感的影響機理研究」，國家自然科學基金面上項目，2021-2024，主持
「居民出行模式與空氣污染暴露的健康影響機理研究——以北京為例」，國家自然科學基金青年項目，2017-2019，主持
「北京市空氣污染與居民健康不平等研究」，北京師範大學青年教師基金項目，2015-2017，主持
「廣州市居民交通出行碳排放的空間分析與模擬」，廣東省城市化與地理環境空間模擬重點實驗室開放基金，2016-2017，主持
「孕產婦健康風險和服務的空間格局與機制研究——以湖北省為例」，國家自然科學基金面上項目，2017-2020，參與
學術成果
著作論文
- Corresponding author.
Ma, J., Rao, J., Kwan, M., and Chai, Y. (2020). Examining the effects of mobility-based air and noise pollution on activity satisfaction. Transportation Research Part D, 89: 102633. (SSCI)
Ma, J., Li, C., Kwan, M., Kou, L., and Chai, Y. (2020). Assessing personal noise exposure and its relationship with mental health in Beijing based on individuals』 space-time behavior. Environment International, 139: 105737. (SCI)
Ma, J., Tao, Y., Kwan, M., and Chai, Y. (2020). 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, 110: 434-448. (SSCI)
Dong, G., Ma, J.*, Lee, D., Chen, M., Pryce, G., and Chen, Y. (2020). Developing a locally adaptive spatial multilevel logistic model to analyze ecological effects on health using individual census records. Annals of the American Association of Geographers, 110: 739-757. (SSCI)
Li, L., Ma, J.*, Cheng, Y., Feng, L., Wang, S., Yun, X., and Tao, S. (2020). Urban–rural disparity in the relationship between ambient air pollution and preterm birth. International Journal of Health Geographics, 19: 23. (SSCI)
Ma, J., Liu, B., Mitchell, G., and Dong, G. (2019). A spatial analysis of air pollution and environmental inequality in Beijing, 2000–2010. Journal of Environmental Planning and Management, 62: 2437-2458. (SSCI)
Dong, G., Ma, J.*, Wei, R., and Haycox, J. (2019). Electric vehicle charging point placement optimisation by exploiting spatial statistics and maximal coverage location models. Transportation Research Part D, 67: 77-88. (SSCI)
Ma, J., Zhou, S., Mitchell, G., and Zhang, J. (2018). CO2 emission from passenger travel in Guangzhou, China: A small area simulation. Applied Geography, 98: 121-132. (SSCI)
Ma, J., Li, C., Kwan, M-P, and Chai, Y. (2018). A Multilevel Analysis of Perceived Noise Pollution, Geographic Contexts and Mental Health in Beijing. Int. J. Environ. Res. Public Health, 15, 1479; doi:10.3390/ijerph15071479. (SSCI/SCI)
Dong, G., Ma, J.*, Kwan, M-P, Wang, Y., and Chai, Y. (2018). Multi-level temporal autoregressive modelling of daily activity satisfaction using GPS-integrated activity diary data. International Journal of Geographical Information Science, 32: 2189-2208. (SSCI/SCI)
Ma, J., Dong, G., Chen, Y., and Zhang, W. (2018). Does satisfactory neighbourhood environment lead to a satisfying life? An investigation of the association between neighbourhood environment and life satisfaction in Beijing. Cities, 74: 229-239. (SSCI)
Ma, J., Chen, Y., and Dong, G. (2018). Flexible Spatial Multilevel Modeling of Neighborhood Satisfaction in Beijing. The Professional Geographer, 70(1): 11-21. (SSCI)
Ma, J., Mitchell, G., Dong, G., and Zhang, W. (2017). Inequality in Beijing: A spatial multilevel analysis of perceived environmental hazard and self-rated health. Annals of the American Association of Geographers, 107(1): 109-129. (SSCI)
Liu, Z., Ma, J.*, and Chai, Y. (2017). Neighborhood-scale urban form, travel behavior, and CO2 emissions in Beijing: implications for low-carbon urban planning. Urban Geography, 38(3): 381-400. (SSCI)
Dong, G., Ma, J., Harris, R., and Pryce, G. (2016). Spatial Random Slope Multilevel Modeling Using Multivariate Conditional Autoregressive Models: A Case Study of Subjective Travel Satisfaction in Beijing. Annals of the American Association of Geographers, 106(1): 19-35. (SSCI)
Chai, Y., Ta, N., and Ma, J. (2016). The socio-spatial dimension of behavior analysis: Frontiers and progress in Chinese behavioral geography. Journal of Geographical Sciences, 26(8): 1243-1260. (SCI)
Ma, J., Mitchell, G. and Heppenstall, A. (2015) Exploring transport carbon futures using population microsimulation and travel diaries: Beijing to 2030. Transportation Research Part D: Transport and Environment, 37: 108-122. (SSCI)
Ma, J., Liu, Z.L. and Chai, Y.W. (2015) The impact of urban form on CO2 emission from work and non-work trips: The case of Beijing, China. Habitat International, 47: 1-10. (SSCI)
Ma, J., Heppenstall, A., Harland, K. and Mitchell, G. (2014) Synthesising carbon emission for mega-cities: A static spatial microsimulation of transport CO2 from urban travel in Beijing. Computers, Environment and Urban Systems, 45: 78-88. (SSCI)
Ma, J., Mitchell, G. and Heppenstall, A. (2014) Daily travel behaviour in Beijing, China: An analysis of workers』 trip chains, and the role of socio-demographics and urban form. Habitat International, 43: 263-273. (SSCI)[1]