[1] 姚恩建, 闫峥, 郇宁. 考虑老年人出行行为的公交票价补贴政策研究[J]. 交通运输系统工程与信息, 2019, 19
(6): 13-19. [YAO E J, YAN Z, HUAN N. Research on bus fare subsidy policy considering the travel behavior of
the elderly[J]. Journal of Transportation Systems
Engineering and Information Technology, 2019, 19(6):
13-19.]
[2] DU M, CHENG L, LI X, et al. Factors affecting the travel
mode choice of the urban elderly in healthcare activity:
Comparison between core area and suburban area[J].
Sustainable Cities and SOCIETY, 2020, 52: 101868.
[3] 付晓, 李梦瑶, 陆欣, 等. 考虑行程时间不确定性的服务设施时空可达性度量[J]. 交通运输系统工程与信息, 2019, 19(2): 86- 93. [FU X, LI M Y, LU X, et al.
Measurement of space-time accessibility to service
facilities considering travel time uncertainty[J]. Journal
of Transportation Systems Engineering and Information
Technology, 2019, 19(2): 86-93.]
[4] 吴娇蓉, 朱启政, 胡静云. 基于老年人活动空间特征的居住社区生活服务设施综合可达性评价[J]. 东南大学学报(自然科学版), 2017, 47(1): 198-202. [WU J R,
ZHU Q Z, HU J Y. Comprehensive accessibility
evaluation on community facilities based on activity
spatial characteristic of elderly people[J]. Journal of
Southeast University (Natural Science Edition), 2017, 47
(1): 198-202. ]
[5] KOTAVAARA O, NIVALA A, LANKILA T, et al.
Geographical accessibility to primary health care in
Finland-Grid-based multimodal assessment[J]. Applied
Geography, 2021, 136: 102583.
[6] LUO W. Using a GIS-based floating catchment method to
assess areas with shortage of physicians[J]. Health &
Place, 2004, 10(1): 1-11.
[7] 高巍, 欧阳玉歆, 赵玫, 等. 公共服务设施可达性度量方法研究综述[J]. 北京大学学报(自然科学版), 2023,
59(2): 344-354. [GAO W, OUYANG Y X, ZHAO M,
et al. A Review on accessibility measurements of public
service facilities[J]. Acta Scientiarum Naturalium
Universitatis Pekinensis, 2023, 59(2): 344-354.]
[8] CHEN W D, CHENG L, CHEN X W, et al. Measuring
accessibility to health care services for older bus
passengers: A finer spatial resolution[J]. Journal of
Transport Geography, 2021, 93: 103068.
[9] XING J, NG S T. Analyzing spatiotemporal accessibility
patterns to tertiary healthcare services by integrating
total travel cost into an improved E3SFCA method in
Changsha, China[J]. Cities, 2022, 122: 103541.
[10] BOISJOLY G, DEBOOSERE R, WASFI R, et al.
Measuring accessibility to hospitals by public transport:
An assessment of eight Canadian metropolitan regions[J].
Journal of Transport & Health, 2020, 18: 100916.
[11] 靳海涛, 金凤君, 陈卓, 等. 基于换乘链断裂点时空信息的公交换乘行为识别[J]. 交通运输工程学报, 2018,
18(5): 176-184. [JIN H T, JIN F J, CHEN Z. Commute
activity identification based on spatial and temporal
information of transit chaining breaks[J]. Journal of
Traffic and Transportation Engineering, 2018, 18(5):
176-184.]
[12] DU F, MAO L, WANG J, et al. Inferring transit-based
health seeking patterns from smart card data: A
case study in Beijing, China[J]. Health & Place, 2020, 65
(5): 102405.
[13] ZOU Q, YAO X, ZHAO P, et al. Detecting home location
and trip purposes for cardholders by mining smart card
transaction data in Beijing subway[J]. Transportation,
2018, 45(3): 919-944.
[14] 王姣娥, 杜方叶, 靳海涛, 等. 基于交通出行链的就医活动识别理论框架与方法体系[J]. 地球信息科学学报, 2020, 22(4): 805-815. [WANG J E, DU F Y, JIN H
T, et al. Identifying hospital-seeking behavior based on
trip chain data: Theoretical framework and
methodological system[J]. Journal of Geo-information
Science, 2020, 22(4): 805-815.]
|