Contextualizing urban road network hierarchy and its role for sustainable transport futures: A systematic literature review using bibliometric analysis and content analysis tools

Stefanos TSIGDINOS , Alexandros NIKITAS , Efthimios BAKOGIANNIS

Front. Eng ›› 2025, Vol. 12 ›› Issue (2) : 361 -393.

PDF (2178KB)
Front. Eng ›› 2025, Vol. 12 ›› Issue (2) : 361 -393. DOI: 10.1007/s42524-024-0300-x
Traffic Engineering Systems Management
REVIEW ARTICLE

Contextualizing urban road network hierarchy and its role for sustainable transport futures: A systematic literature review using bibliometric analysis and content analysis tools

Author information +
History +
PDF (2178KB)

Abstract

Urban road networks play a crucial role in transport and urban planning and have the potential to contribute to more sustainable futures if their hierarchy is properly understood. However, the concept of the urban road network hierarchy, which refers to street classification and prioritization, is not well defined within the domain of transport engineering management, leaving many questions unanswered. Is it simply a planning tool, or does it extend to defining the essence of cities? Is it a qualitative or quantitative concept? Does it emerge organically or require proactive planning? Given the lack of comprehensive answers to these questions, this research aims to provide a contextual understanding of the urban road network hierarchy through the lens of sustainable transport futures. To this purpose, we conducted a systematic literature review, which is an effective method for consolidating knowledge on a specific topic. A total of 42 articles were analyzed using both quantitative bibliometric analysis and qualitative content analysis. Our work demonstrates that the road network hierarchy consists of 16 sub-concepts. Four main research trends were identified and discussed: a) road morphology and structure, b) advanced algorithms for street classification, c) integrated street classification planning, and d) the social dimension of street classification. Recent literature indicates a shift toward alternative road network hierarchy approaches that prioritize sustainable mobility over car-centric models. In conclusion, our analysis reveals that the urban road network hierarchy is a multifaceted yet under researched “vehicle for change,” which, if utilized effectively, offers opportunities to reimagine urban road environments.

Graphical abstract

Keywords

road network hierarchy / street classification / sustainable mobility / systematic literature review / integrated planning

Cite this article

Download citation ▾
Stefanos TSIGDINOS, Alexandros NIKITAS, Efthimios BAKOGIANNIS. Contextualizing urban road network hierarchy and its role for sustainable transport futures: A systematic literature review using bibliometric analysis and content analysis tools. Front. Eng, 2025, 12(2): 361-393 DOI:10.1007/s42524-024-0300-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Aletà N, Alonso C M, Ruiz R, (2017). Smart mobility and smart environment in the spanish cities. Transportation Research Procedia, 24: 163–170

[2]

André M, Villanova A, (2004). Characterisation of an urban bus network for environmental purposes. Science of the Total Environment, 334–335: 85–99

[3]

Aria M, Cuccurullo C, (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11( 4): 959–975

[4]

Bask A, Rajahonka M, (2017). The role of environmental sustainability in the freight transport mode choice. International Journal of Physical Distribution & Logistics Management, 47( 7): 560–602

[5]

BattyM Hierarchy in citiescitysystems (2006). In: Pumain D, ed. Hierarchy in Natural and Social Sciences. Dordrecht: Springer, 143–168

[6]

Oswald Beiler M, McGoff R, McLaughlin S, (2017). Trail network accessibility: Analyzing collector pathways to support pedestrian and cycling mobility. Journal of Urban Planning and Development, 143( 1): 04016024

[7]

Bhimani H, Mention A, Barlatier P, (2019). Social media and innovation: A systematic literature review and future. Technological Forecasting and Social Change, 144: 251–269

[8]

Bigotte J F, Krass D, Antunes A P, Berman O, (2010). Integrated modeling of urban hierarchy and transportation network planning. Transportation Research Part A, Policy and Practice, 44( 7): 506–522

[9]

BoothASutton APapaioannouD (2016). Systematic Approaches to A Successful Literature Review. SAGE Publications Ltd

[10]

Bosurgi G, Pellegrino O, Sollazzo G, (2019). Road functional classification using pattern recognition techniques. Baltic Journal of Road and Bridge Engineering, 14( 3): 360–383

[11]

Butler L, Yigitcanlar T, Paz A, (2021). Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature. Cities, 109: 103036

[12]

CaoMZhangS (2022). Editorial Introduction International Review for Spatial Planning and Sustainable Development, 10(4): 1–6

[13]

Capasso Da Silva D, King D A, Lemar S, (2020). Accessibility in practice: 20-minute city as a sustainability planning goal. Sustainability, 12( 1): 129

[14]

Carmona M, (2015). London’s local high streets: The problems, potential and complexities of mixed street corridors. Progress in Planning, 100: 1–84

[15]

Charlton S G, Mackie H W, Baas P H, Hay K, Menezes M, Dixon C, (2010). Using endemic road features to create self-explaining roads and reduce vehicle speeds. Accident; Analysis and Prevention, 42( 6): 1989–1998

[16]

Charlton S G, Starkey N J, (2017). Driving on urban roads: How we come to expect the ‘correct’ speed. Accident; Analysis and Prevention, 108: 251–260

[17]

Chan E Y C, Cooper C H, (2019). Using road class as a replacement for predicted motorized traffic flow in spatial network models of cycling. Scientific Reports, 9( 1): 19724

[18]

Corominas-Murtra B, Goñi J, Sole R V, Rodríguez-Caso C, (2013). On the origins of hierarchy in complex networks. Proceedings of the National Academy of Sciences of the United States of America, 110( 33): 13316–13321

[19]

Curtis C, Tiwari R, (2008). Transitioning urban arterial roads to activity corridors. URBAN DESIGN International, 13( 2): 105–120

[20]

D’Andrea A, Cappadona C, Rosa G L, Pellegrino O, (2014). A functional road classification with data mining techniques. Transport, 29( 4): 419–430

[21]

De Baets K, Vlassenroot S, Boussauw K, Lauwers D, Allaert G, De Maeyer P, (2014). Route choice and residential environment: introducing liveability requirements in navigation systems in Flanders. Journal of Transport Geography, 37: 19–27

[22]

De Gruyter C, Currie G, Truong L T, Naznin F, (2019). A meta-analysis and synthesis of public transport customer amenity valuation research. Transport Reviews, 39( 2): 261–283

[23]

Dehghanmongabadi A, HoskaraŞ (2022). An integrated framework for planning successful complete streets: Determinative variables and main steps. International Journal of Sustainable Transportation, 16( 2): 181–194

[24]

Delbosc A, Reynolds J, Marshall W, Wall A, (2018). American complete streets and Australian smart roads: What can we learn from each other?. Transportation Research Record: Journal of the Transportation Research Board, 2672( 39): 166–176

[25]

Dong J X, Cheng T, Xu J, Wu J, (2013). Quantitative assessment of urban road network hierarchy planning. Town Planning Review, 84( 4): 467–494

[26]

Donthu N, Kumar S, Mukherjee D, Pandey N, Lim W M, (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133: 285–296

[27]

Elias A, (2011). Automobile-oriented or complete street? Pedestrian and bicycle level of service in the new multimodal paradigm. Transportation Research Record: Journal of the Transportation Research Board, 2257( 1): 80–86

[28]

EppellV A TMcClurg B ABunkerJ M (2001). A four-level road hierarchy for network planning and management. In: Proceedings of the 20th ARRB Conference, Melbourne, Australia

[29]

Ershova S, Smirnov E, (2017). Conceptual justification of town-planning design standards for streets and roads in large cities for ensuring traffic safety. Transportation Research Procedia, 20: 180–184

[30]

FHWA (2013). Highway functional classification concepts, criteria and procedures. U.S. Department of Transportation

[31]

Gao Z, Huang H J, Guo J, Yang L, Wu J, (2023). Future urban transport management. Frontiers of Engineering Management, 10( 3): 534–539

[32]

Gharaee Z, Kowshik S, Stromann O, Felsberg M, (2021). Graph representation learning for road type classification. Pattern Recognition, 120: 108174

[33]

Gregg K, Hess P, (2019). Complete streets at the municipal level: A review of American municipal Complete Street Policy. International Journal of Sustainable Transportation, 13( 6): 407–418

[34]

Gülgen F, (2014). Road hierarchy with integration of attributes using fuzzy-AHP. Geocarto International, 29( 6): 688–708

[35]

Gustafsson H, Hancock D J, Cote J, (2014). Describing citation structures in sport burnout literature: A citation network analysis. Psychology of Sport and Exercise, 15( 6): 620–626

[36]

Han B, Sun D, Yu X, Song W, Ding L, (2020). Classification of urban street networks based on tree-like network features. Sustainability, 12( 2): 628

[37]

HarveyD (2012). Rebel Cities. London: Verso

[38]

Holden E, Banister D, Gössling S, Gilpin G, Linnerud K, (2020). Grand narratives for sustainable mobility: A conceptual review. Energy Research & Social Science, 65: 101454

[39]

Hsu T P, Lin Y T, (2011). A model for planning a bicycle network with multi-criteria suitability evaluation using GIS. WIT Transactions on Ecology and the Environment, 148: 243–252

[40]

Huang L, Zhu X, Ye X, Guo W, Wang J, (2016). Characterizing street hierarchies through network analysis and large-scale taxi traffic flow: a case study of Wuhan, China. Environment and Planning. B, Planning & Design, 43( 2): 276–296

[41]

Hui N, Saxe S, Roorda M, Hess P, Miller E J, (2018). Measuring the completeness of complete streets. Transport Reviews, 38( 1): 73–95

[42]

Iván G, (2014). Distinction of road categories by road users compared to road classification in design guidelines. Pollack Periodica, 9( 3): 23–34

[43]

Jiang B, (2009). Street hierarchies: a minority of streets account for a majority of traffic flow. International Journal of Geographical Information Science, 23( 8): 1033–1048

[44]

Jones P, Boujenko N, (2009). “Link” and “Place”: A new approach to street planning and design. Road and Transport Research, 18( 4): 38–48

[45]

Jones P, Marshall S, Boujenko N, (2008). Creating more people-friendly urban streets through “link and place” street planning and design. IATSS Research, 32( 1): 14–25

[46]

Kingsbury K T, Lowry M B, Dixon M P, (2011). What makes a “Complete Street” complete? A robust definition, given context and public input. Transportation Research Record: Journal of the Transportation Research Board, 2245( 1): 103–110

[47]

Kosztolányi-Iván G, Koren C, Borsos A, (2019). Can people recognize more than six road categories?. Acta Polytechnica Hungarica, 16( 6): 207–222

[48]

Kraus L, Proff H, (2021). Sustainable urban transportation criteria and measurement—A systematic literature review. Sustainability, 13( 13): 7113

[49]

Kumar V K, Chadchan J, Mishra S K, (2019). Complete street planning and design: A framework to develop quantitative and qualitative evaluation method. International Journal of Engineering and Advanced Technology, 9( 1): 6015–6021

[50]

Lagorio A, Pinto R, Golini R, (2016). Research in urban logistics: a systematic literature review. International Journal of Physical Distribution & Logistics Management, 46( 10): 908–931

[51]

Lagorio A, Zenezini G, Mangano G, Pinto R, (2022). A systematic literature review of innovative technologies adopted in logistics management. International Journal of Logistics, 25( 7): 1043–1066

[52]

Lambrianidou P, Basbas S, Politis I, (2013). Can pedestrians’ crossing countdown signal timers promote green and safe mobility?. Sustainable Cities and Society, 6: 33–39

[53]

Lämmer S, Gehlsen B, Helbing D, (2006). Scaling laws in the spatial structure of urban road networks. Physica A, 363( 1): 89–95

[54]

LaneD (2006). Hierarchy, complexity, society. In: Pumain D, ed. Hierarchy in Natural and Social Sciences. Dordrecht: Springer, 81–120

[55]

Lavissière A, Sohier R, Lavissière M C, (2020). Transportation systems in the Arctic: A systematic literature review using textometry. Transportation Research Part A, Policy and Practice, 141: 130–146

[56]

Leurent F, Windisch E, (2011). Triggering the development of electric mobility: A review of public policies. European Transport Research Review, 3( 4): 221–235

[57]

LevinsonDKrizek K (2008). Planning for Place and Plexus: Metropolitan Land Use and Transport. New York: Routledge

[58]

Liao F, Arentze T, Molin E, Bothe W, Timmermans H, (2017a). Effects of land-use transport scenarios on travel patterns: A multi-state supernetwork application. Transportation, 44( 1): 1–25

[59]

Liao F, van Wee B, (2017). Accessibility measures for robustness of the transport system. Transportation, 44( 5): 1213–1233

[60]

Liao Y, Deschamps F, Loures E F R, Ramos L F P, (2017b). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International Journal of Production Research, 55( 12): 3609–3629

[61]

Liberati A, Altman D G, Tetzlaff J, Mulrow C, Gøtzsche P C, Ioannidis J P, Clarke M, Devereaux P J, Kleijnen J, Moher D, (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. Journal of Clinical Epidemiology, 62( 10): e1–e34

[62]

Ling S, Ma S, Jia N, (2021). Sustainable urban transportation development in China: A behavioral perspective. Frontiers of Engineering Management, 9( 1): 16–30

[63]

Liu B, Yan L, Wang Z, (2017). Reclassification of urban road system: integrating three dimensions of mobility, activity and mode priority. Transportation Research Procedia, 25: 627–638

[64]

Liu X, Lu J, Chen X, Fong Y H C, Ma X, Zhang F, (2023). Attention based spatio-temporal graph convolutional network with focal loss for crash risk evaluation on urban road traffic network based on multi-source risks. Accident; Analysis and Prevention, 192: 107262

[65]

Lyons G, Davidson C, (2016). Guidance for transport planning and policymaking in the face of an uncertain future. Transportation Research Part A, Policy and Practice, 88: 104–116

[66]

Ma F, Ao Y, Wang X, He H, Liu Q, Yang D, Gou H, (2023). Assessing and enhancing urban road network resilience under rainstorm waterlogging disasters. Transportation Research Part D, Transport and Environment, 123: 103928

[67]

Marleau Donais F, Abi-Zeid I, Waygood E O D, Lavoie R, (2019). Assessing and ranking the potential of a street to be redesigned as a Complete Street: A multi-criteria decision aiding approach. Transportation Research Part A, Policy and Practice, 124: 1–19

[68]

MarshallS (2004). Building on Buchanan: Evolving road hierarchy for today’s streets-oriented design agenda. In: Proceedings of European Transport Conference. Strasbourg, France

[69]

MarshallS (2005). Streets and Patterns. London: Routledge

[70]

McCannB (2013). Completing our streets: The Transition to Safe and Inclusive Transportation Networks. Island Press

[71]

McKane R G, Hess D, (2023). The impact of ridesourcing on equity and sustainability in North American cities: A systematic review of the literature. Cities, 133: 104122

[72]

McLaren C D, Bruner M W, (2022). Citation network analysis. International Review of Sport and Exercise Psychology, 15( 1): 179–198

[73]

Melkonyan A, Koch J, Lohmar F, Kamath V, Munteanu V, Alexander Schmidt J, Bleischwitz R, (2020). Integrated urban mobility policies in metropolitan areas: A system dynamics approach for the Rhine-Ruhr metropolitan region in Germany. Sustainable Cities and Society, 61: 102358

[74]

Miller E J, (2018). Integrated urban modeling: Past, present, and future. Journal of Transport and Land Use, 11( 1): 387–399

[75]

Mirzahossein H, Rassafi A A, Jamali Z, Guzik R, Severino A, Arena F, (2022). Active transport network design based on transit-oriented development and complete street approach: Finding the potential in Qazvin. Infrastructures, 7( 2): 23

[76]

MoT (1963). Traffic in Towns. London: HMSO

[77]

Noori F, Kamangir H, A. King S, Sheta A, Pashaei M, SheikhMohammadZadeh A, (2020). A deep learning approach to urban street functionality prediction based on centrality measures and stacked denoising autoencoder. ISPRS International Journal of Geo-Information, 9( 7): 456

[78]

Oguchi T, (2008). Redesign of transport systems on highways, streets and avenues. IATSS Research, 32( 1): 6–13

[79]

Okraszewska R, Romanowska A, Wolek M, Oskarbski J, Birr K, Jamroz K, (2018). Integration of a multilevel transport system model into Sustainable Urban Mobility. Sustainability, 10( 2): 479–499

[80]

Oliveira C, Albergaria De Mello Bandeira R, Vasconcelos Goes G, Schmitz Gonçalves D, D’Agosto M, (2017). Sustainable vehicles-based alternatives in last mile distribution of urban freight transport: A systematic literature review. Sustainability, 9( 8): 1324

[81]

Papaix C, Eranova M, Zhou L, (2023). Shared mobility research: Looking through a paradox lens. Transport Policy, 133: 156–167

[82]

Paraskevopoulos Y, Tsigdinos S, Pigaki M, (2022). Exploring the active and network centralities in Metropolitan Athens: The organic vs the planned form. European Journal of Geography, 13( 2): 142–160

[83]

PumainD (2006). Hierarchy in Natural and Social Sciences. Dordrecht: Springer

[84]

RibeiroP (2012). A new perspective on street classification towards sustainability. In: Proceedings of the 8th WSEAS International Conference on Energy, Environment, Ecosystems and Sustainable Development, 272–277

[85]

RodrigueJ P (2020). The Geography of Transport Systems. New York: Routledge

[86]

Rychlewski J, (2016). Street network design for a sustainable mobility system. Transportation Research Procedia, 14: 528–537

[87]

Sarri P, Kaparias I, Preston J, Simmonds D, (2023). Using Land Use and Transportation Interaction (LUTI) models to determine land use effects from new vehicle transportation technologies: A regional scale of analysis. Transport Policy, 135: 91–111

[88]

Sauter D, Huettenmoser M, (2008). Liveable streets and social inclusion. URBAN DESIGN International, 13( 2): 67–79

[89]

Scheepers C E, Wendel-Vos G C W, den Broeder J M, van Kempen E E M M, van Wesemael P J V, Schuit A J, (2014). Shifting from car to active transport: A systematic review of the effectiveness of interventions. Transportation Research Part A, Policy and Practice, 70: 264–280

[90]

Sdoukopoulos A, Pitsiava-Latinopoulou M, Basbas S, Papaioannou P, (2019). Measuring progress towards transport sustainability through indicators: Analysis and metrics of the main indicator initiatives. Transportation Research Part D, Transport and Environment, 67: 316–333

[91]

Shang W L, Chen Y, Bi H, Zhang H, Ma C, Ochieng W Y, (2020). Statistical characteristics and community analysis of urban road networks. Complexity, 2020: 6025821

[92]

Sheikh-Mohammad-Zadeh A, Saunier N, Waygood E O, (2022). Developing an objective framework to evaluate street functions. Sustainability, 14( 12): 7184

[93]

Sirmatel I I, Yildirimoḡlu M, (2023). Nonlinear model predictive control of large-scale urban road networks via average speed control. Transportation Research Part C, Emerging Technologies, 156: 104338

[94]

Snyder H, (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104: 333–339

[95]

Stamatiadis N, Kirk A, Jasper J, Wright S, (2017). Functional classification system to aid contextual design. Transportation Research Record: Journal of the Transportation Research Board, 2638( 1): 18–25

[96]

Stamatiadis N, Kirk A, Steyn H, Musselman J, Raulerson M, (2023). Context classification and associated transportation expectations in support of contextual roadway design. Transportation Research Record: Journal of the Transportation Research Board, 2677( 2): 1072–1081

[97]

Su T, Sun M, Fan Z, Noyman A, Pentland A, Moro E, (2022). Rhythm of the streets: A street classification framework based on street activity patterns. EPJ Data Science, 11( 1): 43

[98]

Tan Z, Shao S, Zhang X, Shang W L, (2023). Sustainable urban mobility: Flexible bus service network design in the post-pandemic era. Sustainable Cities and Society, 97: 104702

[99]

Theeuwes J, (2021). Self explaining roads: What does visual cognition tell us about designing safer roads?. Cognitive Research: Principles and Implications, 6( 1): 15

[100]

Tsagkis P, Bakogiannis E, Nikitas A, (2023). Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities. Sustainable Cities and Society, 89: 104337

[101]

Tsigdinos S, Karolemeas C, Bakogiannis E, Nikitas A, (2021a). Introducing autonomous buses into street functional classification systems: An exploratory spatial approach. Case Studies on Transport Policy, 9( 2): 813–822

[102]

Tsigdinos S, Nikitas A, Bakogiannis E, (2021b). Multimodal corridor development as a way of supporting sustainable mobility in Athens. Case Studies on Transport Policy, 9( 1): 137–148

[103]

Tsigdinos S, Paraskevopoulos Y, Latinopoulou M, Andrakakou M, (2020). What about a different road network hierarchy? New perspectives towards sustainable mobility: The case of Thessaloniki, Greece. European Transport, 76: 1

[104]

Tsigdinos S, Paraskevopoulos Y, Tzouras G P, Bakogiannis E, Vlastos T, (2023). Rethinking road network hierarchy towards new accessibility perspectives. Transportation Research Procedia, 69: 195–202

[105]

Tsigdinos S, Tzouras P G, Bakogiannis E, Kepaptsoglou K, Nikitas A, (2022). The future urban road: A systematic literature review-enhanced Q-method study with experts. Transportation Research Part D, Transport and Environment, 102: 103158

[106]

Tsigdinos S, Vlastos T, (2021). Exploring ways to determine an alternative strategic road network in a metropolitan city: A multi-criteria analysis approach. Erratum for: IATSS Research, 45( 1): 102–115

[107]

Tzouras P G, Batista M, Kepaptsoglou K, Vlahogianni E I, Friedrich B, (2023). Can we all coexist? An empirical analysis of drivers’ and pedestrians’ behavior in four different shared space road environments. Cities, 141: 104477

[108]

Vallet F, Puchinger J, Millonig A, Lamé G, Nicolaï I, (2020). Tangible futures: Combining scenario thinking and personas-A pilot study on urban mobility. Futures, 117: 102513

[109]

Walker G H, Stanton N A, Chowdhury I, (2013). Self explaining roads and situation awareness. Safety Science, 56: 18–28

[110]

Wang R, Zhang X, Li N, (2022). Zooming into mobility to understand cities: A review of mobility-driven urban studies. Cities, 130: 103939

[111]

Yigitcanlar T, Kamruzzaman M, Foth M, Sabatini-Marques J, da Costa E, Ioppolo G, (2019). Can cities become smart without being sustainable? A systematic review of the literature. Sustainable Cities and Society, 45: 348–365

RIGHTS & PERMISSIONS

The Author(s). This article is published with open access at link.springer.com and journal.hep.com.cn

AI Summary AI Mindmap
PDF (2178KB)

1722

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/