[1]

Zhai C, Wu W, Xiao Y. 2023. Modeling continuous traffic flow with the average velocity effect of multiple vehicles ahead on gyroidal roads. Digital Transportation and Safety 2(2):124−38

doi: 10.48130/DTS-2023-0010
[2]

Zhao X, Guo Y. 2024. Planning bikeway network for urban commute based on mobile phone data: a case study of Beijing. Travel Behaviour and Society 34:100672

doi: 10.1016/j.tbs.2023.100672
[3]

Zhou M, Wang R, Guo Y. 2024. How urban spatial characteristics impact surface urban heat island in subtropical high-density cities based on LCZs: a case study of Macau. Sustainable Cities and Society 112:105587

doi: 10.1016/j.scs.2024.105587
[4]

Macea LF, Márquez L, Soto JJ. 2023. How do the affective and symbolic factors of private car driving influence car users' travel behavior in a car restriction policy scenario? Transport policy 140:100−13

doi: 10.1016/j.tranpol.2023.07.001
[5]

Li S, Robusté F. 2021. From urban congestion pricing to tradable mobility credits: a review. Transportation Research Procedia 58:670−77

doi: 10.1016/j.trpro.2021.11.088
[6]

Low N, Odgers J. 2012. Rethinking the cost of traffic congestion, lessons from Melbourne's city link toll roads. Urban Policy and Research 30(2):189−205

doi: 10.1080/08111146.2012.672395
[7]

Low N, Astle R. 2009. Path dependence in urban transport: an institutional analysis of urban passenger transport in Melbourne, Australia, 1956–2006. Transport Policy 16(2):47−58

doi: 10.1016/j.tranpol.2009.02.010
[8]

Gonzalez JN, Perez-Doval J, Gomez J, Vassallo JM. 2021. What impact do private vehicle restrictions in urban areas have on car ownership? Empirical evidence from the city of Madrid. Cities 116:103301

doi: 10.1016/j.cities.2021.103301
[9]

Liu X, Fan J, Li Y, Shao X, Lai Z. 2022. Analysis of integrated uses of dockless bike sharing and ridesourcing with metros: a case study of Shanghai, China. Sustainable Cities and Society 82:103918

doi: 10.1016/j.scs.2022.103918
[10]

Li H, Liu S. 2023. A historical investigation of the causes behind Beijing's "Ring plus Radiation" road network layout. Urban Transport of China 21(2):11−19+82

doi: 10.13813/j.cn11-5141/u.2023.0202
[11]

Shi F, Huang E, Chen Q, Wang Y. 2009. Optimization of one-way traffic organization for urban microcirculation transportation network. Journal of Transportation Systems Engineering and Information Technology 9(4):30−35

doi: 10.1016/S1570-6672(08)60070-7
[12]

Chen L, Li R, Li A. 2021. Simulation of traffic microcirculation optimization in residential area. Journal of Physics: Conference Series 1972:012109

doi: 10.1088/1742-6596/1972/1/012109
[13]

Gao X, Ci Y, Zhang L, Wu L. 2025. Post-disaster traffic micro-circulation system design for traffic distribution optimization. Transportation Research Record 2679:550−63

doi: 10.1177/03611981241263345
[14]

Dong C, Chang N. 2023. Overview of the identification of traffic accident-prone locations driven by big data. Digital Transportation and Safety 2(1):67−76

doi: 10.48130/DTS-2023-0006
[15]

Sui X, Yan H, Pan S, Li X, Gu X. 2024. Bus system optimization for timetables, routes, charging, and facilities: a summary. Digital Transportation and Safety 4(1):1−9

doi: 10.48130/dts-0024-0024
[16]

Chao F, You C, Jin W. 2023. Optimizing urban stock space through district boundary reorganization: Hangzhou's administrative adjustment. Land 12(5):959

doi: 10.3390/land12050959
[17]

Xi K, Zha W, Ji W. 2019. Research and application of microcirculation theory in small cities. IOP Conference Series: Materials Science and Engineering 688:044029

doi: 10.1088/1757-899X/688/4/044029
[18]

Chen Q, Shi F. 2012. Model for microcirculation transportation network design. Mathematical Problems in Engineering 2012:379867

doi: 10.1155/2012/379867
[19]

Mao X. 2017. Opening up gated communities to public road system and urban traffic microcirculation: a case study of Donghu district in Nanchang. Journal of Landscape Research 9(4):1−10

doi: 10.16785/j.issn1943-989x.2017.4.001
[20]

Chen D, Liu L, Gu X, Lan M, Su Z, et al. 2025. From alleys to arterial streets: Unpacking the influence of diverse street types and associated business on urban theft patterns. Applied Geography 174:103471

doi: 10.1016/j.apgeog.2024.103471
[21]

Guo Y, Li F, Aimaitikali W. 2025. Exploring the effects of built environment on traffic microcirculation performance using XGBoost model. Journal of Advanced Transportation 2025:8821071

doi: 10.1155/atr/8821071
[22]

Weng M, Ding N, Li J, Jin X, Xiao H, et al. 2019. The 15-minute walkable neighborhoods: Measurement, social inequalities and implications for building healthy communities in urban China. Journal of Transport & Health 13:259−73

doi: 10.1016/j.jth.2019.05.005
[23]

Yu R, Cheung O, Lau K, Woo J. 2017. Associations between perceived neighborhood walkability and walking time, wellbeing, and loneliness in community-dwelling older Chinese people in Hong Kong. International Journal of Environmental Research and Public Health 14(10):1199

doi: 10.3390/ijerph14101199
[24]

Zhang, Q., Yung, E. H. K., & Chan, E. H. W. 2018. Towards sustainable neighborhoods: Challenges and opportunities for neighborhood planning in transitional urban China. Sustainability 10(2):406

doi: 10.3390/su10020406
[25]

Huang, H., Huang, J., Chen, B., Xu, X., & Li, W. 2024. Recognition of functional areas in an old city based on POI: A case study in Fuzhou, China. Journal of Urban Planning and Development 150(1):04024001

doi: 10.1061/JUPDDM.UPENG-4593
[26]

Kanwal S, Rasheed MI, Pitafi AH, Pitafi A, Ren M. 2020. Road and transport infrastructure development and community support for tourism: the role of perceived benefits, and community satisfaction. Tourism Management 77:104014

doi: 10.1016/j.tourman.2019.104014
[27]

Koszowski C, Gerike R, Hubrich S, Götschi T, Pohle M, et al. 2019. Active mobility: bringing together transport planning, urban planning, and public health. Towards User-Centric Transport in Europe, eds. Müller B, Meyer G. Switzerland: Springer Cham. pp 149–71 doi: 10.1007/978-3-319-99756-8_11

[28]

Salomons EM, Berghauser Pont M. 2012. Urban traffic noise and the relation to urban density, form, and traffic elasticity. Landscape and Urban Planning 108(1):2−16

doi: 10.1016/j.landurbplan.2012.06.017
[29]

Shpuza, E. 2023. The shape and size of urban blocks. Environment and Planning B: Urban Analytics and City Science 50(1):24−43

doi: 10.1177/23998083221098744
[30]

Wang S, Yu D, Kwan MP, Zheng L, Miao H, et al. 2020. The impacts of road network density on motor vehicle travel: an empirical study of Chinese cities based on network theory. Transportation Research Part A: Policy and Practice 132:144−56

doi: 10.1016/j.tra.2019.11.012
[31]

Wen L, Kenworthy J, Guo X, Marinova D. 2019. Solving traffic congestion through street renaissance: a perspective from dense Asian cities. Urban Science 3(1):18

doi: 10.3390/urbansci3010018
[32]

Poulton MC. 1980. The supply of residential access streets and secondary arterial roads. Transportation Research Part B Methodological 14(1-2):121−32

doi: 10.1016/0191-2615(80)90038-7
[33]

Wright C, Jarrett D, Appa G, Rados J, Vukanovic S. 1995. Spatial aspects of traffic circulation: a review of alternative systems. Transportation Research Part B: Methodological 29(1):1−32

doi: 10.1016/0191-2615(94)00019-V
[34]

Meyer MD. 1999. Refocusing Transportation Planning for the 21st Century. Annual Meeting of the Institute of Transportation Engineers Las Vegas, NV, 1999. https://onlinepubs.trb.org/Onlinepubs/conf/1999/cp20/cp20-001.pdf

[35]

Sorensen P, Wachs M, Daehner EM, Kofner A, Ecola L, et al. 2008. Reducing Traffic Congestion in Los Angeles. www.rand.org/pubs/research_briefs/RB9385.html

[36]

Afrin T, Yodo N. 2020. A survey of road traffic congestion measures towards a sustainable and resilient transportation system. Sustainability 12(11):4660

doi: 10.3390/su12114660
[37]

Guo J, Liang Q, Zhao J. 2024. F-Deepwalk: a community detection model for transport networks. Entropy 26(8):715

doi: 10.3390/e26080715
[38]

Oeschger G, Carroll P, Caulfield B. 2020. Micromobility and public transport integration: the current state of knowledge. Transportation Research Part D: Transport and Environment 89:102628

doi: 10.1016/j.trd.2020.102628
[39]

Wang A. 2024. Analysis of the complex network characteristics of urban and rural slow moving traffic network in Chengyang, Qingdao. International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China. Vol. 13018. US: SPIE. pp. 1209−14 doi: 10.1117/12.3023958

[40]

Fancello G, Carta M, Fadda P. 2014. A modeling tool for measuring the performance of urban road networks. Procedia-Social and Behavioral Sciences 111:559−66

doi: 10.1016/j.sbspro.2014.01.089
[41]

Ma Y, Xie W, Qin X, Liang Z, Guan Z. 2025. The joint impact of road density and width on road network performances—a simulation approach based on macroscopic fundamental diagram. Journal of Urban Management 14:543−61

doi: 10.1016/j.jum.2025.01.002
[42]

Forde A, Daniel J. 2021. Pedestrian walking speed at un-signalized midblock crosswalk and its impact on urban street segment performance. Journal of Traffic and Transportation Engineering (English edition) 8(1):57−69

doi: 10.1016/j.jtte.2019.03.007
[43]

Liu Z, Chen H, Liu E, Hu W. 2022. Exploring the resilience assessment framework of urban road network for sustainable cities. Physica A: Statistical Mechanics and its Applications 586:126465

doi: 10.1016/j.physa.2021.126465
[44]

Bonera M, Carra M, Ventura R, Barabino B, Maternini G. 2023. Measuring safety performance in the extra-urban road network of Lombardy Region (Italy). Transportation Research Procedia 69:155−62

doi: 10.1016/j.trpro.2023.02.157
[45]

Helbing D, Hennecke A, Shvetsov V, Treiber M. 2002. Micro-and macro-simulation of freeway traffic. Mathematical and Computer Modelling 35(5-6):517−47

doi: 10.1016/S0895-7177(02)80019-X
[46]

Wang B, Guo Y, Chen F, Tang F. 2024. The impact of the social-built environment on the inequity of bike-sharing use: a case study of Divvy system in Chicago. Travel Behaviour and Society 37:100873

doi: 10.1016/j.tbs.2024.100873