代表性科研论文(第一或通讯作者):
[1] Zhan Dongsheng, Kwan Mei-Po, Zhang Wenzhong, et al. Assessment and determinants of satisfaction with urban livability in China. Cities, 2018, (79):92-101.
[2] Zhan Dongsheng, Kwan Mei-Po, Zhang Wenzhong, et al. The impact of housing pressure on subjective well-being in urban China[J]. Habitat International, 2022, 127:102639.
[3] Zhan Dongsheng, Kwan Mei-Po, Zhang Wenzhong, et al. The driving factors of the air quality index in China. Journal of Cleaner Production,2018,(197):1342-1351.
[4] Zhan Dongsheng, Kwan Mei-Po, Zhang Wenzhong, et al. Impact of the quality of urban settlements on housing prices in China[J]. Journal of Urban Planning and Development, 2021,147(4): 05021044.
[5] Zhan Dongsheng, Xie Chunxin, Zhang Juanfeng, Meng Bin. Investigating the Determinants of Housing Rents in Hangzhou, China: A Spatial Multilevel Model Approach[J].Applied Spatial Analysis and Policy, 2023,16:1707–1727.
[6] Zhan Dongsheng, Zhang Qianyun, Zhang Wenzhong, et al. City Health Examination Evaluation and Subjective Well-Being in Resource-Based Cities in China[J]. Journal of Urban Planning and Development, 2023,149(4): 05023036.
[7] Zhan Dongsheng, Zhang Qianyun, Xu Xiaoren, et al. Spatiotemporal distribution of continuous air pollution and its relationship with socioeconomic and natural factors in China[J]. International Journal of Environmental Research and Public Health, 2022, 19:10.3390/ijerph19116635.
[8] Zhan Dongsheng, Zhang Qianyun, Kwan Mei-Po, et al. Impact of urban green space on self-rated health: Evidence from Beijing[J]. Frontiers in Public Health,2022(10):999970.
[9] Zhang Juanfeng, Zhang Danxia, Huang Liying, Wen Haizhen, Zhao Guochao, Zhan Dongsheng*. Spatial distribution and influential factors of industrial land productivity in China’s rapid urbanization. Journal of Cleaner Production, 2019,234:1287-1295. 通讯作者
[10] Dang Yunxiao, Zhan Dongsheng*, Qiu Lefeng, et al. Effects of the built environment on residents' subjective well-being and behaviors: A case of Hangzhou, China[J]. Journal of Housing and The Built Environment, 2022, (7):10.1007/s10901-022-09955-z. 通讯作者
[11]湛东升,孟斌.基于社会属性的北京市居民居住与就业空间集聚特征[J].地理学报,2013,68(12):1607-1618.
[12]湛东升,张文忠,余建辉,党云晓,李小云.问卷调查方法在中国人文地理学研究的应用[J].地理学报,2016,71(6):899-913.
[13]湛东升,孟斌,张文忠.北京市居民居住满意度感知与行为意向研究[J].地理研究,2014,33(2):336-348.
[14]湛东升,张文忠,张娟锋,李佳洺,谌丽,党云晓.北京市公共服务设施集聚中心识别分析[J].地理研究,2020,39(3):554-569.
[15]湛东升,张文忠,孟斌,党云晓,刘倩倩.北京城市居住和就业空间类型区分析[J].地理科学,2017,37(3):356-366.
[16]湛东升,虞晓芬,吴倩倩,金浩然,张文忠.中国租赁住房发展的区域差异与影响因素[J].地理科学,2020,40(12):1990-1999.
[17]湛东升,虞晓芬,余妙志,徐小任.中国城市住房支付能力空间差异与分类调控策略[J].地理科学,2022,42(2):219-231.
[18]湛东升,张文忠,党云晓,虞晓芬,吴倩倩.北京市公共服务设施空间集聚特征分析[J].经济地理,2018,38(12):76-82.
[19]湛东升,吴倩倩,余建辉,张文忠,张娟锋.中国资源型城市房价时空变化与影响因素分析[J].自然资源学报,2020,35(12):2888-2900.
[20]湛东升,张文忠,余建辉,孟斌,党云晓.基于地理探测器的北京市居民宜居满意度影响机理[J].地理科学进展,2015,34(8):966-975.
[21]湛东升,张文忠,党云晓,戚伟,刘倩倩.中国流动人口的城市宜居性感知及其对定居意愿的影响[J].地理科学进展, 2017,36(10):1250-1259.
[22]湛东升,张文忠,谌丽,虞晓芬,党云晓.城市公共服务设施配置研究进展与趋向[J].地理科学进展,2019,38(4):506-519.
[23]湛东升,章倩芸,张文忠,虞晓芬,张娟锋.杭州市房地产企业空间集聚特征与区位选择[J].地理科学进展,2021,40(5):736-745.
[24]湛东升,谢春鑫,张文忠,丁亮,许婧雪,甄茂成.基于累计机会可达性的北京城市公共服务设施复合功能识别[J].地球信息科学学报,2020,22(6):1320-1329.
[25]湛东升,张文忠,党云晓,余建辉.中国城市化发展的人居环境支撑条件分析[J].人文地理,2015,30(1):98-104.
[26]湛东升,张晓平.世界宜居城市建设经验及其对北京的启示[J].国际城市规划,2016,31(5):7-13.
[27]湛东升,张文忠,余建辉,等.基于客观评价的北京城市宜居性空间特征及机制[J].地域研究与开发,2016,35(4):68-73.
[28]湛东升,周玄,周侃等.城市人居环境感知对幸福感的影响——基于长三角地区城市体检数据的分析[J].地理科学进展,2023,42(4):730-741.
[29]张娟锋,李乐乐,张丹霞,湛东升*.隐性债务对城市空间扩张的影响研究[J].浙江大学学报(理学版),2022,49(5):633-641. 通讯作者
[30]虞晓芬,周家乐,湛东升*,张金源,金细簪.中国城市住房质量空间格局与影响因素空间异质性[J].地理研究,2023, 42(12):3278-3293. 通讯作者