地理科学进展 ›› 2022, Vol. 41 ›› Issue (12): 2370-2382.doi: 10.18306/dlkxjz.2022.12.014
收稿日期:
2022-04-21
修回日期:
2022-06-07
出版日期:
2022-12-28
发布日期:
2022-12-31
作者简介:
赵莹(1985— ),女,吉林通化人,副教授,博士,硕士生导师,主要从事行为地理与旅游者时空行为研究。E-mail: zhaoy233@mail.sysu.edu.cn
基金资助:
Received:
2022-04-21
Revised:
2022-06-07
Online:
2022-12-28
Published:
2022-12-31
Supported by:
摘要:
方法与技术的前沿性是行为地理学的学科特色,技术视角的学科梳理有助于认识行为地理的自身价值与优势。论文回顾了实时定位、环境监测与神经生理3项技术的发展脉络,围绕行为背景、行为环境、行为体验的技术应用进行了综述,并总结了空间—行为互动、地理背景不确定性、批判神经地理的理论推进与批判反思;进一步构建了融合动态背景—精细环境—实时体验的全面技术框架,形成了从背景到环境再到体验的行为地理综合研究体系,并提出了神经生理技术融入行为地理学研究的理论提升方向。论文旨在贡献地理流动性背景下的行为地理学创新路径,服务于行为地理学的知识生产与理论发展。
赵莹, 刘方宇. 从实时定位、环境监测到神经生理:行为地理学技术发展前沿[J]. 地理科学进展, 2022, 41(12): 2370-2382.
ZHAO Ying, LIU Fangyu. From real-time positioning, environmental monitoring to neurophysiological technologies: Advances in technology of behavioral geography[J]. PROGRESS IN GEOGRAPHY, 2022, 41(12): 2370-2382.
[1] | 雷金纳德·戈列奇, 罗伯特·斯廷森. 空间行为的地理学[M]. 柴彦威, 曹小曙, 龙韬, et al. 等译. 北京: 商务印书馆, 2013. |
[ Golledge R G, Stimson R J. Spatial behavior:A geographic perspective. Translated by Chai Yanwei, Cao Xiaoshu, Long Tao, Beijing, China: The Commercial Press, 2013. ] | |
[2] |
王丰龙. 行为地理学的学科特色与拓展路径[J]. 地理科学进展, 2022, 41(1): 16-26.
doi: 10.18306/dlkxjz.2022.01.002 |
[ Wang Fenglong. On the unique features of behavioral geography and the potential avenues for its future research. Progress in Geography, 2022, 41(1): 16-26. ]
doi: 10.18306/dlkxjz.2022.01.002 |
|
[3] |
Shoval N. Tracking technologies and urban analysis[J]. Cities, 2008, 25(1): 21-28.
doi: 10.1016/j.cities.2007.07.005 |
[4] |
Birenboim A, Helbich M, Kwan M-P. Advances in portable sensing for urban environments: understanding cities from a mobility perspective[J]. Computers Environment and Urban Systems, 2021, 88: 16150. doi: 10.1016/j.compenvurbsys.2021.101650.
doi: 10.1016/j.compenvurbsys.2021.101650 |
[5] |
Wang J, Kou L R, Kwan M-P, et al. An integrated individual environmental exposure assessment system for real-time mobile sensing in environmental health studies[J]. Sensors, 2021, 21(12): 4039. doi: 10.3390/s21124039.
doi: 10.3390/s21124039 |
[6] | 陈巍. 认知神经科学技术在心理学上的应用[J]. 心理技术与应用, 2013(2): 32-34. |
[ Chen Wei. Application of cognitive neuroscience in psychology. Psychological Technology and Application, 2013(2): 32-34. ] | |
[7] |
申悦, 王德. 行为地理学理论与方法的跨学科应用研究[J]. 地理科学进展, 2022, 41(1): 40-52.
doi: 10.18306/dlkxjz.2022.01.004 |
[ Shen Yue, Wang De. Interdisciplinary application of theories and methods of behavioral geography. Progress in Geography, 2022, 41(1): 40-52. ]
doi: 10.18306/dlkxjz.2022.01.004 |
|
[8] |
Sheller M, Urry J. The new mobilities paradigm[J]. Environment and Planning A: Economy and Space, 2006, 38(2): 207-226.
doi: 10.1068/a37268 |
[9] |
孙九霞, 周尚意, 王宁, 等. 跨学科聚焦的新领域: 流动的时间、空间与社会[J]. 地理研究, 2016, 35(10): 1801-1818.
doi: 10.11821/dlyj201610001 |
[ Sun Jiuxia, Zhou Shangyi, Wang Ning, et al. Mobility in geographical research: Time, space and society. Geographical Research, 2016, 35(10): 1801-1818. ]
doi: 10.11821/dlyj201610001 |
|
[10] |
Osborne T, Jones P I. Biosensing and geography: A mixed methods approach[J]. Applied Geography, 2017, 87: 160-169.
doi: 10.1016/j.apgeog.2017.08.006 |
[11] |
Pykett J, Osborne T, Resch B. From urban stress to neurourbanism: How should we research city well-being?[J]. Annals of the American Association of Geographers, 2020, 110(6): 1936-1951.
doi: 10.1080/24694452.2020.1736982 |
[12] |
柴彦威, 谭一洺, 申悦, 等. 空间—行为互动理论构建的基本思路[J]. 地理研究, 2017, 36(10): 1959-1970.
doi: 10.11821/dlyj201710012 |
[ Chai Yanwei, Tan Yiming, Shen Yue, et al. Space-behavior interaction theory: Basic thinking of general construction. Geographical Research, 2017, 36(10): 1959-1970. ]
doi: 10.11821/dlyj201710012 |
|
[13] | 陶印华, 柴彦威, 杨婕. 城市居民健康生活方式研究的时空行为视角[J]. 人文地理, 2021, 36(1): 21-29. |
[ Tao Yinhua, Chai Yanwei, Yang Jie. Understanding healthy lifestyles for urban residents from the perspective of space-time behaviours. Human Geography, 2021, 36(1): 22-29. ] | |
[14] |
柴彦威, 塔娜. 中国时空间行为研究进展[J]. 地理科学进展, 2013, 32(9): 1362-1373.
doi: 10.11820/dlkxjz.2013.09.006 |
[ Chai Yanwei, Ta Na. Progress in space-time behavior research in China. Progress in Geography, 2013, 32(9): 1362-1373. ]
doi: 10.11820/dlkxjz.2013.09.006 |
|
[15] | 李其维. “认知革命”与“第二代认知科学”刍议[J]. 心理学报, 2008, 40(12): 1306-1327. |
[ Li Qiwei. Cognitive revolution and second-generation cognitive science. Acta Psychologica Sinica, 2008, 40(12): 1306-1327. ]
doi: 10.3724/SP.J.1041.2008.01306 |
|
[16] |
Shoval N, Schvimer Y, Tamir M. Tracking technologies and urban analysis: Adding the emotional dimension[J]. Cities, 2018, 72: 34-42.
doi: 10.1016/j.cities.2017.08.005 |
[17] |
王敏, 林铭亮, 朱竑. 人文地理学的“神经转向”研究进展及启示[J]. 地理科学进展, 2020, 39(7): 1182-1195.
doi: 10.18306/dlkxjz.2020.07.011 |
[ Wang Min, Lin Mingliang, Zhu Hong. Research progress and implication of the "neural turn" in human geography. Progress in Geography, 2020, 39(7): 1182-1195. ] | |
[18] |
Shen L, Stopher P R. Review of GPS travel survey and GPS data-processing methods[J]. Transport Reviews, 2014, 34(3): 316-334.
doi: 10.1080/01441647.2014.903530 |
[19] |
Bohte W, Maat K. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands[J]. Transportation Research Part C: Emerging Technologies, 2009, 17(3): 285-297.
doi: 10.1016/j.trc.2008.11.004 |
[20] |
Bricka S G, Sen S, Paleti R, et al. An analysis of the factors influencing differences in survey-reported and GPS-recorded trips[J]. Transportation Research Part C: Emerging Technologies, 2012, 21(1): 67-88.
doi: 10.1016/j.trc.2011.09.005 |
[21] | 柴彦威, 陈梓烽. 时空间行为调查的回顾与未来展望[J]. 人文地理, 2021, 36(2): 3-10. |
[ Chai Yanwei, Chen Zifeng. Space-time behavior surveys: State-of-the-art and prospects. Human Geography, 2021, 36(2): 3-10. ] | |
[22] |
杨喜平, 方志祥. 移动定位大数据视角下的人群移动模式及城市空间结构研究进展[J]. 地理科学进展, 2018, 37(7): 880-889.
doi: 10.18306/dlkxjz.2018.07.002 |
[ Yang Xiping, Fang Zhixiang. Recent progress in studying human mobility and urban spatial structure based on mobile location big data. Progress in Geography, 2018, 37(7): 880-889. ]
doi: 10.18306/dlkxjz.2018.07.002 |
|
[23] | Wang Z Z, He S Y, Leung Y. Applying mobile phone data to travel behaviour research: A literature review[J]. Travel, Behaviour & Society, 2018, 11: 141-155. |
[24] | 龙瀛, 孙立君, 陶遂. 基于公共交通智能卡数据的城市研究综述[J]. 城市规划学刊, 2015(3): 70-77. |
[ Long Ying, Sun Lijun, Tao Sui. A review of urban studies based on transit smart card data. Urban Planning Forum, 2015(3): 70-77. ] | |
[25] |
周素红, 郝新华, 柳林. 多中心化下的城市商业中心空间吸引衰减率验证: 深圳市浮动车GPS时空数据挖掘[J]. 地理学报, 2014, 69(12): 1810-1820.
doi: 10.11821/dlxb201412007 |
[ Zhou Suhong, Hao Xinhua, Liu Lin. Validation of spatial decay law caused by urban commercial center's mutual attraction in polycentric city: Spatio-temporal data mining of floating cars' GPS data in Shenzhen. Acta Geographica Sinica, 2014, 69(12): 1810-1820. ]
doi: 10.11821/dlxb201412007 |
|
[26] |
周艳, 李妍羲, 黄悦莹, 等. 基于社交媒体数据的城市人群分类与活动特征分析[J]. 地球信息科学学报, 2017, 19(9): 1238-1244.
doi: 10.3724/SP.J.1047.2017.01238 |
[ Zhou Yan, Li Yanxi, Huang Yueying, et al. Analysis of classification methods and activity characteristics of urban population based on social media data. Journal of Geo-information Science, 2017, 19(9): 1238-1244. ] | |
[27] | 孙津, 龚建华, 周洁萍. 基于智能手机定位与活动日志调查的个体行为时空数据管理与对比研究[J]. 地理与地理信息科学, 2018, 34(5): 68-73, 2. |
[ Sun Jin, Gong Jianhua, Zhou Jieping. Management and comparison of space-time data of individual behavior from smartphone location tracking and activity diaries. Geography and Geo-Information Science, 2018, 34(5): 68-73, 2. ] | |
[28] | 刘瑜, 肖昱, 高松, 等. 基于位置感知设备的人类移动研究综述[J]. 地理与地理信息科学, 2011, 27(4): 8-13, 31, 2. |
[ Liu Yu, Xiao Yu, Gao Song, et al. A review of human mobility research based on location aware devices. Geography and Geo-Information Science, 2011, 27(4): 8-13, 31, 2. ] | |
[29] | 董凤鸣, 莫运政, 李国星, 等. 大气颗粒物(PM10/PM2.5)与人群循环系统疾病死亡关系的病例交叉研究[J]. 北京大学学报(医学版), 2013, 45(3):398-404. |
[ Dong Fengming, Mo Yunzheng, Li Guoxing, et al. Association between ambient PM10/PM2.5 levels and population mortality of circulatory diseases: A case-crossover study in Beijing. Journal of Peking University (Medical Edition), 2013, 45(3): 398-404. ] | |
[30] | 刘岩磊, 孙岚, 张英鸽. 粒径小于2.5微米可吸入颗粒物的危害[J]. 国际药学研究杂志, 2011, 38(6): 428-431. |
[ Liu Yanlei, Sun Lan, Zhang Yingge. Hazards of inhalable particulates PM2.5 on human health. Journal of International Pharmaceutical Research, 2011, 38(6): 428-431. ] | |
[31] |
李春江, 马静, 柴彦威, 等. 居住区环境与噪音污染对居民心理健康的影响: 以北京为例[J]. 地理科学进展, 2019, 38(7): 1103-1110.
doi: 10.18306/dlkxjz.2019.07.014 |
[ Li Chunjiang, Ma Jing, Chai Yanwei, et al. Influence of neighborhood environment and noise pollution on residents' mental health in Beijing. Progress in Geography, 2019, 38(7): 1103-1110. ]
doi: 10.18306/dlkxjz.2019.07.014 |
|
[32] |
Lercher P, Kofler W W. Behavioral and health responses associated with road traffic noise exposure along alpine through-traffic routes[J]. Science of the Total Environment, 1996, 189/190: 85-89.
doi: 10.1016/0048-9697(96)05194-7 |
[33] |
Basner M, Babisch W, Davis A, et al. Auditory and non-auditory effects of noise on health[J]. The Lancet, 2014, 383: 1325-1332.
doi: 10.1016/S0140-6736(13)61613-X |
[34] | Park Y M, Kwan M-P. Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored[J]. Health & Place, 2017, 43: 85-94. |
[35] |
Kou L R, Tao Y H, Kwan M-P, et al. Understanding the relationships among individual-based momentary measured noise, perceived noise, and psychological stress: A geographic ecological momentary assessment (GEMA) approach[J]. Health & Place, 2020, 64: 102285. doi: 10.1016/j.healthplace.2020.102285.
doi: 10.1016/j.healthplace.2020.102285 |
[36] |
Ma J, Li C J, Kwan M-P, et al. Assessing personal noise exposure and its relationship with mental health in Beijing based on individuals' space-time behavior[J]. Environment International, 2020, 139: 105737. doi: 10.1016/j.envint.2020.105737.
doi: 10.1016/j.envint.2020.105737 |
[37] |
Zhang Z X, Long Y, Chen L, et al. Assessing personal exposure to urban greenery using wearable cameras and machine learning[J]. Cities, 2021, 109: 103006. doi: 10.1016/j.cities.2020.103006.
doi: 10.1016/j.cities.2020.103006 |
[38] | 李文越, 龙瀛. 建成环境暴露测度的方法转变: 从基于固定居住地和GIS数据到基于个体移动性和影像数据[J]. 西部人居环境学刊, 2021, 36(2): 23-28. |
[ Li Wen-yue, Long Ying. Revolution in approaches of assessing exposure to built environment: From static residence based approach and GIS data to individual mobility based approach and image data. Journal of Human Settlements in West China, 2021, 36(2): 23-28. ] | |
[39] | Duchowski A T. Eye tracking methodology: Theory and practice[M]. Cambridge, USA: MIT Press, 2007. |
[40] | 陈庆荣, 周曦, 韩静, 等. 眼球追踪: 模式、技术和应用[J]. 实验室研究与探索, 2012, 31(10): 10-15. |
[ Chen Qingrong, Zhou Xi, Han Jing, et al. Eye tracking: Pattern, technology and application. Research and Exploration in Laboratory, 2012, 31(10): 10-15. ] | |
[41] |
董卫华, 廖华, 詹智成, 等. 2008年以来地图学眼动与视觉认知研究新进展[J]. 地理学报, 2019, 74(3): 599-614.
doi: 10.11821/dlxb201903015 |
[ Dong Weihua, Liao Hua, Zhan Zhicheng, et al. New research progress of eye tracking-based map cognition in cartography since 2008. Acta Geographica Sinica, 2019, 74(3): 599-614. ]
doi: 10.11821/dlxb201903015 |
|
[42] |
Stadler R, Jepson A S, Wood E H,. Electrodermal activity measurement within a qualitative methodology: Exploring emotion in leisure experience[J]. International Journal of Contemporary Hospitality Management, 2018, 30(11): 3363-3385.
doi: 10.1108/IJCHM-11-2017-0781 |
[43] |
Critchley H. Electrodermal responses: What happens in the brain[J]. Neuroscientist, 2002, 8(2): 132-142.
pmid: 11954558 |
[44] | Cacioppo J T, Tassinary L G, Berntson G G. Handbook of psychophysiology[M]. Cambridge, UK: Cambridge University Press, 2000. |
[45] |
Osborne T. Restorative and afflicting qualities of the microspace encounter: Psychophysiological reactions to the spaces of the city[J]. Annals of the American Association of Geographers, 2022, 112(5): 1461-1483.
doi: 10.1080/24694452.2021.1972791 |
[46] |
Antón C, Camarero C, Garrido M J. A journey through the museum: Visit factors that prevent or further visitor satiation[J]. Annals of Tourism Research, 2018, 73: 48-61.
doi: 10.1016/j.annals.2018.08.002 |
[47] |
Brett M, Johnsrude I S, Owen A M. The problem of functional localization in the human brain[J]. Nature Reviews Neuroscience, 2002, 3: 243-249.
pmid: 11994756 |
[48] |
Minas R K, Dennis A R, Potter R F, et al. Triggering insight: Using neuroscience to understand how priming changes individual cognition during electronic brainstorming[J]. Decision Sciences, 2018, 49(5): 788-826.
doi: 10.1111/deci.12295 |
[49] |
Mulert C, Jäger L, Schmitt R, et al. Integration of fMRI and simultaneous EEG: Towards a comprehensive understanding of localization and time-course of brain activity in target detection[J]. NeuroImage, 2004, 22(1): 83-94.
pmid: 15109999 |
[50] | 刘宝根, 周兢, 李菲菲. 脑功能成像的新方法: 功能性近红外光谱技术(fNIRS)[J]. 心理科学, 2011, 34(4): 943-949. |
[ Liu Baogen, Zhou Jing, Li Feifei. Functional near-infrared spectroscopy: An emerging functional neuroimaging technology. Journal of Psychological Science, 2011, 34(4): 943-949. ] | |
[51] |
Buttazzoni A, Parker A, Minaker L. Investigating the mental health implications of urban environments with neuroscientific methods and mobile technologies: A systematic literature review[J]. Health & Place, 2021, 70: 102597. doi: 10.1016/j.healthplace.2021.102597.
doi: 10.1016/j.healthplace.2021.102597 |
[52] |
Gong H M, Chen C, Bialostozky E, et al. A GPS/GIS method for travel mode detection in New York City[J]. Computers, Environment and Urban Systems, 2012, 36(2): 131-139.
doi: 10.1016/j.compenvurbsys.2011.05.003 |
[53] | 柴彦威, 申悦, 马修军, 等. 北京居民活动与出行行为时空数据采集与管理[J]. 地理研究, 2013, 32(3): 441-451. |
[ Chai Yanwei, Shen Yue, Ma Xiujun, et al. The collection and management of space-time data of individual behavior based on location-based technologies: A case study of activity-travel survey in Beijing. Geographical Research, 2013, 32(3): 441-451. ] | |
[54] |
王德, 谢栋灿, 王灿, 等. 个体时空行为的规律性与可预测性研究: 以上海市居民工作日活动为例[J]. 地理科学进展, 2021, 40(3): 433-440.
doi: 10.18306/dlkxjz.2021.03.007 |
[ Wang De, Xie Dongcan, Wang Can, et al. Regularity and predictability of individual spatiotemporal behavior: A case study of residents working day activities in Shanghai. Progress in Geography, 2021, 40(3): 433-440. ] | |
[55] | 申卓, 王德. 基于手机信令数据的大型足球赛事球迷当日空间行为特征研究[J]. 人文地理, 2018, 33(3): 34-43. |
[ Shen Zhuo, Wang De. A research on the spatial behavior characteristics of fans of large football matches based on cell phone signaling data. Human Geography, 2018, 33(3): 34-43. ] | |
[56] | 龙瀛, 张宇, 崔承印. 利用公交刷卡数据分析北京职住关系和通勤出行[J]. 地理学报, 2012, 67(10): 1339-1352. |
[ Long Ying, Zhang Yu, Cui Chengyin. Identifying commuting pattern of Beijing using bus smart card data. Acta Geographica Sinica, 2012, 67(10): 1339-1352. ]
doi: 10.11821/xb201210005 |
|
[57] |
陈梓烽, 柴彦威. 城市居民非工作活动的家内外时间分配及影响因素: 以北京上地—清河地区为例[J]. 地理学报, 2014, 69(10): 1547-1556.
doi: 10.11821/dlxb201410013 |
[ Chen Zifeng, Chai Yanwei. Time allocation to in-home and out-of-home non-work activities of urban residents: A case study of Shangdi-Qinghe area in Beijing. Acta Geographica Sinica, 2014, 69(10): 1547-1556. ]
doi: 10.11821/dlxb201410013 |
|
[58] |
塔娜, 柴彦威, 关美宝. 建成环境对北京市郊区居民工作日汽车出行的影响[J]. 地理学报, 2015, 70(10): 1675-1685.
doi: 10.11821/dlxb201510011 |
[ Ta Na, Chai Yanwei, Kwan Mei-Po. The relationship between the built environment and car travel distance on weekdays in Beijing. Acta Geographica Sinica, 2015, 70(10): 1675-1685. ]
doi: 10.11821/dlxb201510011 |
|
[59] | 闫学东, 刘晓冰, 刘炀, 等. 基于浮动车大数据与网格模型的城市交通拥堵识别和评价研究[J]. 北京交通大学学报, 2019, 43(1): 104-113. |
[ Yan Xuedong, Liu Xiaobing, Liu Yang, et al. Identification and evaluation of urban traffic congestion based on the big data of floating vehicles and grid modeling. Journal of Beijing Jiaotong University, 2019, 43(1): 104-113. ] | |
[60] | 张月朋, 王德. 上海市早高峰出行问题源头区识别[J]. 城市规划, 2021, 45(7): 83-90. |
[ Zhang Yuepeng, Wang De. Identification of the source of morning peak-hour traffic congestion in Shanghai. City Planning Review, 2021, 45(7): 83-90. ] | |
[61] |
Manley E, Cheng T. Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling[J]. Transportation Research Part A: Policy and Practice, 2018, 109: 14-23.
doi: 10.1016/j.tra.2018.01.020 |
[62] |
Zhang W J, Thill J C. Detecting and visualizing cohesive activity-travel patterns: A network analysis approach[J]. Computers, Environment and Urban Systems, 2017, 66: 117-129.
doi: 10.1016/j.compenvurbsys.2017.08.004 |
[63] | 雷方舒, 温慧敏, 孙建平, 等. 基于手机信令数据的通勤与交通运行关系模型[J]. 交通运输研究, 2021, 7(5): 10-18. |
[ Lei Fangshu, Wen Huimin, Sun Jianping, et al. Relationship model between commuting trips and traffic operation based on mobile signaling data. Transport Research, 2021, 7(5): 10-18. ] | |
[64] | 郭文伯, 张艳, 柴彦威. 城市居民出行的空气污染暴露测度及其影响机制: 北京市郊区社区的案例分析[J]. 地理研究, 2015, 34(7): 1310-1318. |
[ Guo Wenbo, Zhang Yan, Chai Yanwei. Measurement of residents' daily travel air pollution exposure and its mechanism: A case study of suburban communities in Beijing. Geographical Research, 2015, 34(7): 1310-1318. ] | |
[65] | Helbich M, Emmichoven M J Z V, Dijst M J, et al. Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study[J]. Health & Place, 2016, 39: 101-109. |
[66] |
Anagnostopoulos T, Garcia J C, Goncalves J, et al. Environmental exposure assessment using indoor/outdoor detection on smartphones[J]. Personal and Ubiquitous Computing, 2017, 21(4): 761-773.
doi: 10.1007/s00779-017-1028-y |
[67] |
Laatikainen T E, Hasanzadeh K, Kyttä M. Capturing exposure in environmental health research: Challenges and opportunities of different activity space models[J]. International Journal of Health Geographics, 2018, 17(1): 29. doi: 10.1186/s12942-018-0149-5.
doi: 10.1186/s12942-018-0149-5 pmid: 30055616 |
[68] |
Schwanen T, Wang D G. Well-being, context, and everyday activities in space and time[J]. Annals of the Association of American Geographers, 2014, 104(4): 833-851.
doi: 10.1080/00045608.2014.912549 |
[69] | 王丰龙. 幸福地理学研究中的时空间尺度陷阱[J]. 人文地理, 2021, 36(2): 11-19. |
[ Wang Fenglong. Spatio-temporal scalar traps in geographical studies of subjective well-being. Human Geography, 2021, 36(2): 11-19. ] | |
[70] |
Ahas R, Aasa A, Mark Ü, et al. Seasonal tourism spaces in Estonia: Case study with mobile positioning data[J]. Tourism Management, 2007, 28(3): 898-910.
doi: 10.1016/j.tourman.2006.05.010 |
[71] |
Ahas R, Aasa A, Roose A, et al. Evaluating passive mobile positioning data for tourism surveys: An Estonian case study[J]. Tourism Management, 2008, 29(3): 469-486.
doi: 10.1016/j.tourman.2007.05.014 |
[72] | 赵莹, 张朝枝, 金钰涵. 基于手机数据可靠性分析的旅游城市功能空间识别研究[J]. 人文地理, 2018, 33(3): 137-144. |
[ Zhao Ying, Zhang Chaozhi, Jin Yuhan. How reliable are cellular positioning data in tourism environments? An exploration of functional regions. Human Geography, 2018, 33(3): 137-144. ] | |
[73] | 赵莹, 王嘉铭, 毛子丹. 游客时空行为与保护教育感知研究: 以香港海洋公园为例[J]. 人文地理, 2021, 36(2): 73-81. |
[ Zhao Ying, Wang Jiaming, Mao Zidan. Tourists' spatial-temporal behavior and conservation educational perception: A case study of the ocean park in Hong Kong. Human Geography, 2021, 36(2): 73-81. ] | |
[74] | 黄潇婷. 基于时空路径的旅游情感体验过程研究: 以香港海洋公园为例[J]. 旅游学刊, 2015, 30(6): 39-45. |
[ Huang Xiaoting. A study of tourists' emotional experience process based on space-time path: A case study of ocean park in Hong Kong. Tourism Tribune, 2015, 30(6): 39-45. ] | |
[75] | 赵莹, 汪丽, 黄潇婷, 等. 主题公园演艺项目对旅游者活动空间的影响: 基于时空可达性的分析[J]. 旅游学刊, 2017, 32(12): 49-57. |
[ Zhao Ying, Wang Li, Huang Xiaoting, et al. The impact of audience participation at a theme park show on tourists' activity space: A space-time accessibility perspective. Tourism Tribune, 2017, 32(12): 49-57. ] | |
[76] | 黄潇婷, 朱树未, 赵莹. 产品跟随行为: 旅游时间产品规划方法[J]. 旅游学刊, 2016, 31(5): 36-44. |
[ Huang Xiaoting, Zhu Shuwei, Zhao Ying. Product follows behavior: A tourism time product planning approach. Tourism Tribune, 2016, 31(5): 36-44. ] | |
[77] |
张文佳, 季纯涵, 谢森锴. 复杂网络视角下时空行为轨迹模式挖掘研究[J]. 地理科学, 2021, 41(9): 1505-1514.
doi: 10.13249/j.cnki.sgs.2021.09.002 |
[ Zhang Wenjia, Ji Chunhan, Xie Senkai. Pattern mining of spatio-temporal behavior trajectories by complex network analysis. Scientia Geographica Sinica, 2021, 41(9): 1505-1514. ]
doi: 10.13249/j.cnki.sgs.2021.09.002 |
|
[78] | 王德, 傅英姿. 手机信令数据助力上海市社区生活圈规划[J]. 上海城市规划, 2019(6): 23-29. |
[ Wang De, Fu Yingzi. Mobile signaling data helps Shanghai community life circle planning. Shanghai Urban Planning Review, 2019(6): 23-29. ] | |
[79] |
马静, 柴彦威, 符婷婷. 居民时空行为与环境污染暴露对健康影响的研究进展[J]. 地理科学进展, 2017, 36(10): 1260-1269.
doi: 10.18306/dlkxjz.2017.10.008 |
[ Ma Jing, Chai Yanwei, Fu Tingting. Progress of research on the health impact of people's space-time behavior and environmental pollution exposure. Progress in Geography, 2017, 36(10): 1260-1269. ]
doi: 10.18306/dlkxjz.2017.10.008 |
|
[80] |
Okokon E O, Yli-Tuomi T, Turunen A W, et al. Particulates and noise exposure during bicycle, bus and car commuting: A study in three European cities[J]. Environmental Research, 2017, 154: 181-189.
doi: S0013-9351(16)30617-X pmid: 28088011 |
[81] |
Motlagh N H, Zaidan M A, Fung P L, et al. Transit pollution exposure monitoring using low-cost wearable sensors[J]. Transportation Research Part D: Transport and Environment, 2021, 98: 102981. doi: 10.1016/j.trd.2021.
doi: 10.1016/j.trd.2021 |
[82] |
Tao Y H, Chai Y W, Kou L R, et al. Understanding noise exposure, noise annoyance, and psychological stress: Incorporating individual mobility and the temporality of the exposure-effect relationship[J]. Applied Geography, 2020, 125: 102283. doi: 10.1016/j.apgeog.2020.102283.
doi: 10.1016/j.apgeog.2020.102283 |
[83] |
Kwan M-P. The uncertain geographic context problem[J]. Annals of the Association of American Geographers, 2012, 102(5): 958-968.
doi: 10.1080/00045608.2012.687349 |
[84] | 彭慧蕴, 杨婷婷, 谭少华. 神经都市主义视角下城市健康支持性环境研究: 范式创新与研究框架[J]. 中国园林, 2022, 38(4): 62-67. |
[ Peng Huiyun, Yang Tingting, Tan Shaohua. Research on urban health supportive environment from the perspective of neurourbanism: Paradigm innovation and research framework. Chinese Landscape Architecture, 2022, 38(4): 62-67. ] | |
[85] |
Starkey N J, Charlton S G, Malhotra N, et al. Drivers' response to speed warnings provided by a smart phone app[J]. Transportation Research Part C: Emerging Technologies, 2020, 110: 209-221.
doi: 10.1016/j.trc.2019.11.020 |
[86] | 刘斐, 杨璐嘉, 陈韵卿, 等. 基于眼动追踪的旅游导航地图锚点与参照系设置对空间认知过程的影响研究[J]. 旅游科学, 2021, 35(6): 33-49. |
[ Liu Fei, Yang Lujia, Chen Yunqing, et al. A study on the influence of anchor points and reference frames on spatial cognitive process in tourism navigation map based on eye tracking technology. Tourism Science, 2021, 35(6): 33-49. ] | |
[87] | 赵莹, 梁锦鹏, 颜力祺, 等. 标识设置对游客寻路行为的影响研究: 基于眼动追踪的实验分析[J]. 旅游学刊, 2020, 35(9): 63-73. |
[ Zhao Ying, Liang Jinpeng, Yan Liqi, et al. The influences of guidance system on tourists' wayfinding behaviour: A case study based on eye-tracking techniques. Tourism Tribune, 2020, 35(9): 63-73. ] | |
[88] |
Peer M, Salomon R, Goldberg I, et al. Brain system for mental orientation in space, time, and person[J]. PNAS, 2015, 112(35): 11072-11077.
doi: 10.1073/pnas.1504242112 pmid: 26283353 |
[89] |
何诗, 阴劼. 认知地图的地理学研究进展与展望[J]. 地理科学进展, 2022, 41(1): 73-85.
doi: 10.18306/dlkxjz.2022.01.007 |
[ He Shi, Yin Jie. Cognitive map research in the field of geography: A review and prospect. Progress in Geography, 2022, 41(1): 73-85. ]
doi: 10.18306/dlkxjz.2022.01.007 |
|
[90] |
Ahlstrom C, Nyström M, Holmqvist K, et al. Fit-for-Duty test for estimation of drivers' sleepiness level: Eye movements improve the sleep/wake predictor[J]. Transportation Research Part C: Emerging Technologies, 2013, 26: 20-32.
doi: 10.1016/j.trc.2012.07.008 |
[91] |
Castro M, Guevara C A, Jimenez-Molina A. A methodological framework to incorporate psychophysiological indicators into transportation modeling[J]. Transportation Research Part C: Emerging Technologies, 2020, 118: 102712. doi: 10.1016/j.trc.2020.102712.
doi: 10.1016/j.trc.2020.102712 |
[92] | Tang I C, Tsai Y P, Lin Y J, et al. Using functional magnetic resonance imaging (fMRI) to analyze brain region activity when viewing landscapes[J]. Landscape & Urban Planning, 2017, 162: 137-144. |
[93] |
Kim J J, Fesenmaier D R. Measuring emotions in real time[J]. Journal of Travel Research, 2015, 54(4): 419-429.
doi: 10.1177/0047287514550100 |
[94] |
Pykett J. Geography and neuroscience: Critical engagements with geography's "Neural Turn"[J]. Transactions of the Institute of British Geographers, 2018, 43(2): 154-169.
doi: 10.1111/tran.12213 |
[95] |
塔娜, 柴彦威. 行为地理学的学科定位与前沿方向[J]. 地理科学进展, 2022, 41(1): 1-15.
doi: 10.18306/dlkxjz.2022.01.001 |
[ Ta Na, Chai Yanwei. Disciplinary position and research frontiers of behavioral geography. Progress in Geography, 2022, 41(1): 1-15. ]
doi: 10.18306/dlkxjz.2022.01.001 |
|
[96] |
Thrift N. Intensities of feeling: Towards a spatial politics of affect[J]. Geografiska Annaler: Series B, Human Geography, 2004, 86(1): 57-78.
doi: 10.1111/j.0435-3684.2004.00154.x |
[97] |
Bell S L, Wheeler B W, Phoenix C. Using geonarratives to explore the diverse temporalities of therapeutic landscapes: Perspectives from "green" and "blue" settings[J]. Annals of the American Association of Geographers, 2017, 107(1): 93-108.
doi: 10.1080/24694452.2016.1218269 |
[98] |
李春江, 张艳. 日常生活数字化转向的时间地理学应对[J]. 地理科学进展, 2022, 41(1): 96-106.
doi: 10.18306/dlkxjz.2022.01.009 |
[ Li Chunjiang, Zhang Yan. The time geography response to the digital transition of everyday life. Progress in Geography, 2022, 41(1): 96-106. ]
doi: 10.18306/dlkxjz.2022.01.009 |
|
[99] |
李双成, 张文彬, 陈立英, 等. 孪生空间及其应用: 兼论地理研究空间的重构[J]. 地理学报, 2022, 77(3): 507-517.
doi: 10.11821/dlxb202203001 |
[ Li Shuangcheng, Zhang Wenbin, Chen Liying, et al. Digital twin space and its applications: Concurrent discussion on the space reconstruction of geographical research. Acta Geographica Sinica, 2022, 77(3): 507-517. ]
doi: 10.11821/dlxb202203001 |
|
[100] |
张艳, 柴彦威. 转向企划—活动系统研究的时间地理学[J]. 地理科学进展, 2022, 41(1): 53-63.
doi: 10.18306/dlkxjz.2022.01.005 |
[ Zhang Yan, Chai Yanwei. Development of time geography based on the project-activity system. Progress in Geography, 2022, 41(1): 53-63. ]
doi: 10.18306/dlkxjz.2022.01.005 |
[1] | 王丰龙. 行为地理学的学科特色与拓展路径[J]. 地理科学进展, 2022, 41(1): 16-26. |
[2] | 张文佳, 鲁大铭. 行为地理学的方法论与微观人地关系研究范式[J]. 地理科学进展, 2022, 41(1): 27-39. |
[3] | 塔娜, 柴彦威. 行为地理学的学科定位与前沿方向[J]. 地理科学进展, 2022, 41(1): 1-15. |
[4] | 王敏, 林铭亮, 朱竑. 人文地理学的“神经转向”研究进展及启示[J]. 地理科学进展, 2020, 39(7): 1182-1195. |
[5] | 塔娜, 刘志林. 西方城市女性时空行为研究的新趋势及其对中国的启示[J]. 地理科学进展, 2017, 36(10): 1208-1217. |
|