不同群体轨道交通出行时空演化特征及与建成环 境的关系:基于武汉市的纵向分析*

Spatiotemporal Evolution Characteristics of Rail Transit Travel across Different Population Groups and Their Relationship with the Built Environment: A Longitudinal Analysis of Wuhan City

杨 红
武汉大学测绘遥感信息工程国家重点实验室 博士后,博士

李晶晶
武汉市江夏区自然资源和城乡建设局 科员,硕士

严雪心
武汉大学测绘遥感信息工程国家重点实验室 博士后,博士

彭建东(通信作者)
武汉大学城市设计学院 教授,博士生导师,00006709@whu.edu.cn

摘要: 建设包容性的公共交通系统是交通强国战略的重要目标。然而,已有研究尚未充分揭示不同群体的公共交通出行需求及其 与建成环境关系的差异。为此,以武汉市为例,通过轨道交通刷卡数据识别老年人、残疾人、通勤人员、中小学生及其他人群 出行时空演化特征,并使用非平衡面板模型揭示建成环境对不同群体轨道交通出行的影响差异。结果显示,随着轨道交通 网络的完善,老年人与残疾人出行频率增长显著,通勤人员与其他群体相对稳定,中小学生则略微下降。其次,建成环境对 轨道交通客流的影响存在明显的群体异质性,其对同一群体轨道交通客流的影响在工作日与周末还存在一定的时间异质 性。因此,需要制定差异化设施建设、精准化服务供给及包容性政策引导的“需求响应型”优化策略,才能有效助力包容性 公共交通系统建设。

Abstract: Building an inclusive public transportation system is a crucial objective of the national strategy to develop a strong transportation network. However, existing research has not yet fully revealed the differences in public transit demands among various groups and their relationships with the built environment. To address this gap, this study takes Wuhan as a case example, using metro smart card data to identify the spatiotemporal evolution characteristics of travel patterns among the elderly, disabled individuals, commuters, primary and secondary school students, and other groups. An unbalanced panel model is then employed to analyze the heterogeneous impacts of the built environment on metro travel demand across these groups. The results show that as the metro network expanded, travel frequency increased significantly among the elderly and disabled populations, remained relatively stable for commuters and other groups, and slightly declined for students. Furthermore, the influence of the built environment on metro ridership exhibited notable group heterogeneity, with additional temporal variations between weekdays and weekends for the same group. Therefore, to effectively promote inclusive public transportation development, it is essential to adopt demandresponsive optimization strategies, including differentiated infrastructure planning, targeted service provisions, and inclusive policy guidance.

关键词:城市轨道交通;不同人群;出行特征;建成环境

Keyword: metro; different population groups; travel characteristics; built environment

中图分类号:TU984

文献标识码: A

FU F, JIA X, ZHAO Q, et al. Predicting land use 
change around railway stations: an enhanced CAMarkov model[J]. Sustainable Cities and Society,
2024, 101: 105138. 
夏正伟,张烨,徐磊青. 轨道交通站点区域TOD
效能的影响因素与优化策略[J]. 规划师,2019,
35(22):5-12.
XIA Zhengwei, ZHANG Ye, XU Leiqing. Influencing 
factors and improvement strategies of TOD performance in rail transit station area[J]. Planners, 2019, 
35(22): 5-12.
AN D, TONG X, LIU K, et al. Understanding the 
impact of built environment on metro ridership 
using open source in Shanghai[J]. Cities, 2019, 93: 
177-187. 
张艳,曹康,何奕苇,等. 土地使用与轨道交通的
空间适配探讨——深圳地铁2号线的实证分析
[J]. 城市规划,2017,41(8):107-115.
ZHANG Yan, CAO Kang, HE Yiwei, et al. 
Discussion on spatial match between land use and 
rail transit: a case study of Shenzhen subway line 
2[J]. City Planning Review, 2017, 41(8): 107-115.
BEILER M O, MOHAMMED M. Exploring 
transportation equity: development and application 
of a transportation justice framework[J]. Transportation Research Part D: Transport and Environment, 
2016, 47: 285-298. 
张军,王桐远. 城市交通系统发展的公平性研究
及其实证分析[J]. 世界科技研究与发展,2015,
37(3):258-263. 
ZHANG Jun, WANG Tongyuan. Study on fairness 
of urban transportation system development and 
empirical analysis[J]. World Sci-Tech R&D, 2015, 
37(3): 258-263.
张莉杰,董俊武,王艳慧. 公共交通资源配置空
间公平性评价及其影响机理分析——以武汉市
主城区为例[J]. 地理与地理信息科学,2023,
39(4):63-71.
ZHANG Lijie, DONG Junwu, WANG Yanhui. 
Spatial equity evaluation and influence mechanism 
analysis of public transportation resource allocation: a case study of the main urban area of 
Wuhan[J]. Geography and Geo-Information 
Science, 2023, 39(4): 63-71.
黄建欣,龚蔚霞,张金林,等. 城市轨道交通站点
周边建成环境对地铁客流量的影响研究——以
深圳市为例[J]. 上海城市规划,2023(6):47-54.
HUANG Jianxin, GONG Weixia, ZHANG Jinlin, 
et al. Impact of built environment of urban rail 
transit stations on metro passenger flow: a case 
study of Shenzhen[J]. Shanghai Urban Planning 
Review, 2023(6): 47-54.
杨林川,唐祥龙,刘吉祥. 积极应对人口老龄化
战略下适老化出行的建成环境研究[J]. 上海城
市规划,2022(1):156-162.
YANG Linchuan, TANG Xianglong, LIU Jixiang. 
Examining the built environment suitable for 
the elderly's travel under the background of the 
national strategy "actively addressing population 
aging"[J]. Shanghai Urban Planning Review,
2022(1): 156-162.
任鹏,彭建东,杨红,等. 武汉市轨道交通站点周
边地区职住平衡与建成环境的关系研究[J]. 地
球信息科学学报,2021,23(7):1231-1245.
REN Peng, PENG Jiandong, YANG Hong, et al. 
Relationship between jobs-housing balance and 
built environment in areas around urban rail transit 
stations of Wuhan[J]. Journal of Geo-information 
Science, 2021, 23(7): 1231-1245.
EWING R, GREENWALD M, ZHANG M, et al. 
Traffic generated by mixed-use developments—
six-region study using consistent built environmental measures[J]. Journal of Urban Planning 
and Development, 2011, 137(3): 248-261. 
崔叙,喻冰洁,杨林川,等. 城市轨道交通出行的
时空特征及影响因素非线性机制——基于梯度
提升决策树的成都实证[J]. 经济地理,2021,
41(7):61-72. 
CUI Xu, YU Bingjie, YANG Linchuan, at el. 
Spatio-temporal characteristics and non-linear 
influencing factors of urban rail transit: the case 
of Chengdu using the gradient boosting decision 
tree[J]. Economic Geography, 2021, 41(7): 61-72.
DENG Y, ZHAO P. The impact of new metro on 
travel behavior: panel analysis using mobile phone 
data[J]. Transportation Research Part A: Policy 
and Practice, 2022, 162: 46-57. 
DONG S, WANG Y, WANG C, et al. Discovering 
the nonlinear association between the built 
environment and metro ridership: global and local 
perspectives[J]. Cities, 2026, 169: 106561. 
BALTAGI B, SHU J. Spatial dynamic panel data 
model with interactive fixed effects and timevariant endogenous spatial weight matrices[J]. 
Econometrics and Statistics, 2025[2025-10-18]. 
https://doi.org/10.1016/j.ecosta.2025.09.004.
POTTS D, WEIDENSAGER L. ANOVA-boosting 
for random Fourier features[J]. Applied and 
Computational Harmonic Analysis, 2025, 79: 
101789. 
许志榕. 上海市职住关系和通勤特征分析研
究——基于轨道交通客流数据视角[J]. 上海城
市规划,2016(2):114-121.
XU Zhirong. Study on job-housing relationship and 
characteristic of commuting in Shanghai: based on 
the perspective of rail transit passenger flow data[J]. 
Shanghai Urban Planning Review, 2016(2): 114-121.
崔叙,喻冰洁,梁朋朋,等. 基于“客流—用地”
的城市轨道交通站点类型识别与空间再平衡研
究——以成都市为例[J]. 现代城市研究,2021
(7):68-79.
CUI Xu, YU Bingjie, LIANG Pengpeng, et al. 
Urban rail transit station type ldentification and jobhousing spatial rebalancing based on passenger flow 
and land use: taking Chengdu as an example[J]. 
Modern Urban Research, 2021(7): 68-79.
ALLAHVIRANLOO M, LE PRIOL E. 1985 -
A methodology on quantifying spatial-temporal 
disparities in travel behavior of mobility-impaired 
travelers with non-disabled travelers: case studies 
of London and New York[J]. Journal of Transport 
& Health, 2017, 5: S31. 
SCHMÖCKER J D, QUDDUS M A, NOLAND R 
B, et al. Mode choice of older and disabled people: 
a case study of shopping trips in London[J]. Journal 
of Transport Geography, 2008, 16(4): 257-267. 
CAO X, MOKHTARIAN P L, HANDY S L. 
Neighborhood design and the accessibility of 
the elderly: an empirical analysis in Northern 
California[J]. International Journal of Sustainable 
Transportation, 2010, 4(6): 347-371. 
ZHAO J, DENG W, SONG Y, et al. What influences 
metro station ridership in China? Insights from 
Nanjing[J]. Cities, 2013, 35: 114-124. 
PENG J, CUI C, QI J, et al. The evolvement of 
rail transit network structure and impact on travel 
characteristics: a case study of Wuhan[J]. ISPRS 
International Journal of Geo-Information, 2021, 
10(11): 789. 
杨红,申犁帆,胡议文,等. 老年人地铁出行时空
特征及与建成环境非线性关系——以武汉市为
例[J]. 地理科学进展,2023,42(3):491-504.
YANG Hong, SHEN Lifan, HU Yiwen, et al. 
Spatial and temporal characteristics of elderly 
people's metro travel behavior and its non-linear 
relationship with the built environment: a case 
study of Wuhan City[J]. Progress in Geography, 
2023, 42(3): 491-504.
FENG J, DIJST M, WISSINK B, et al. Elderly 
co-residence and the household responsibilities 
hypothesis: evidence from Nanjing, China[J]. 
Urban Geography, 2015, 36(5): 757-776.
陈小鸿,周翔,乔瑛瑶. 多层次轨道交通网络与
多尺度空间协同优化——以上海都市圈为例[J]. 
城市交通,2017,15(1):20-30. 
CHEN Xiaohong, ZHOU Xiang, QIAO Yingyao. 
Coordination and optimization of multilevel rail 
transit network and multi-scale spatial layout: 
a case study of Shanghai metropolitan area[J]. 
Urban Transport of China, 2017, 15(1): 20-30.
SHAO F, SUI Y, YU X, et al. Spatio-temporal travel 
patterns of elderly people – a comparative study 
based on buses usage in Qingdao, China[J]. Journal 
of Transport Geography, 2019, 76: 178-190. 
FENG J. The influence of built environment on 
travel behavior of the elderly in urban China[J]. 
Transportation Research Part D: Transport and 
Environment, 2017, 52: 619-633. 
汪光焘,王继峰,赵珺玲. 新时期城市交通需求
演变与展望[J]. 城市交通,2020,18(4):1-10. 
WANG Guangtao, WANG Jifeng, ZHAO Junling. 
Evolution of urban travel demand in the new era[J]. 
Urban Transport of China, 2020, 18(4): 1-10.
PARK K, ESFAHANI H N, NOVACK V L, et al.
Impacts of disability on daily travel behaviour: a 
systematic review[J]. Transport Reviews, 2023, 
43(2): 178-203. 
ZHOU M, WANG D, GUAN X. Co-evolution 
of the built environment and travel behaviour 
in Shenzhen, China[J]. Transportation Research 
Part D: Transport and Environment, 2022, 107: 
103291. 
HUANG J, LEVINSON D, WANG J, et al. 
Tracking job and housing dynamics with smartcard 
data[J]. Proceedings of the National Academy of 
Sciences, 2018, 115(50): 12710-12715. 
LUCAS K. Transport and social exclusion: where 
are we now?[J]. Transport Policy, 2012, 20: 105-
113. 
ZHU H, PENG J, DAI Q, et al. Exploring the longterm threshold effects of density and diversity on 
metro ridership[J]. Transportation Research Part D: 
Transport and Environment, 2024, 128: 104101. 
孙超,王波,张云龙,等. 基于通用设计思考的深
圳市无障碍交通体系规划探索[J]. 城市规划学
刊,2012(3):63-69.
SUN Chao, WANG Bo, ZHANG Yunlong, et al. A 
preliminary study on barrier-free transport system 
in Shenzhen based on universal design concepts[J]. 
Urban Planning Forum, 2012(3): 63-69.

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