International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 12, Issue 2 (February 2025), Pages: 169-180

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 Original Research Paper

Optimizing urban pedestrian streetscapes for residents and tourists: A literature review based on the PRISMA technique

 Author(s): 

 Tong Jia 1, *, Nor Zarifah Maliki 1, Tong Sen 2, Zheng Jiao 3

 Affiliation(s):

 1School of Housing, Building and Planning, Universiti Sains Malaysia, Penang, Malaysia
 2Faculty of Management, Shinawatra University, Pathum Thani, Thailand
 3School of Education, Ningxia Sports Vocational College, Yin Chuan, China

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0009-0002-7174-9767

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2025.02.019

 Abstract

This systematic review explores strategies to optimize urban pedestrian streets for residents and tourists, employing Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols to ensure a comprehensive and transparent analysis. Key design elements, including walkability, safety, aesthetics, and smart technology integration, are identified as essential for creating functional and attractive urban spaces. The study emphasizes balancing the needs of locals and visitors, ensuring streets provide essential services and connectivity while delivering memorable experiences for tourists. Furthermore, the review underscores the importance of sustainable development and cultural preservation, advocating for eco-friendly methods that respect diverse traditions. Analyzing 46 studies, the research offers practical recommendations for enhancing pedestrian streets, providing valuable insights for policymakers and urban planners to foster inclusive, sustainable, and vibrant urban environments.

 © 2025 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Urban pedestrian streets, Sustainable development, Walkability and safety, Cultural preservation, Smart technology integration

 Article history

 Received 11 September 2024, Received in revised form 19 January 2025, Accepted 2 February 2025

 Acknowledgment

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Jia T, Maliki NZ, Sen T, and Jiao Z (2025). Optimizing urban pedestrian streetscapes for residents and tourists: A literature review based on the PRISMA technique. International Journal of Advanced and Applied Sciences, 12(2): 169-180

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 Figures

 Fig. 1 Fig. 2

 Tables

 Table 1 Table 2 

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 References (42)

  1. Ali AS and Baper SY (2023). Assessment of livability in commercial streets by placemaking. Sustainability, 15(8): 6834. https://doi.org/10.3390/su15086834   [Google Scholar]
  2. Andersen H, Alonso-Mora J, Eng YH, Rus D, and Ang MH (2019). Trajectory optimization and situational analysis framework for autonomous overtaking with visibility maximization. IEEE Transactions on Intelligent Vehicles, 5(1): 7-20. https://doi.org/10.1109/TIV.2019.2955361   [Google Scholar]
  3. Chen Z and Luo H (2024). Research on the enhancement of chongqing cyberpunk cultural tourism experience under the background of culture and tourism integration. Proceedings of Business and Economic Studies, 7(3): 140-148. https://doi.org/10.26689/pbes.v7i3.7482   [Google Scholar]
  4. Cooper C, Booth A, Varley-Campbell J, Britten N, and Garside R (2018). Defining the process to the literature searching in systematic reviews: A literature review of guidance and supporting studies. BMC Medical Research Methodology, 18: 85. https://doi.org/10.1186/s12874-018-0545-3   [Google Scholar] PMid:30107788 PMCid:PMC6092796
  5. Dai A (2020). Designing future streetscapes using interactive design to integrateautonomous vehicles into urban street. M.Sc. Thesis, University of Georgia, Athens, USA.   [Google Scholar]
  6. Edelman DJ and Triantafillou M (2012). A case study of environmentally sensitive planning and urban design in provincial China. Theoretical and Empirical Studies in Urban Management, 7(2): 22-66.   [Google Scholar]
  7. Ek R, Larsen J, Hornskov SB, and Mansfeldt OK (2008). A dynamic framework of tourist experiences: Space‐time and performances in the experience economy. Scandinavian Journal of Hospitality and Tourism, 8(2): 122-140. https://doi.org/10.1080/15022250802110091   [Google Scholar]
  8. Fouda S, Farghaly T, and Ayad H (2021). Enhancing identity through streetscape composition. In the 26th International Conference on Urban Development, Regional Planning and Information Society, CORP–Competence Center of Urban and Regional Planning, Vienna, Austria: 325-336.   [Google Scholar]
  9. Gerike R, Koszowski C, Schröter B, Buehler R, Schepers P, Weber J, Wittwer R, and Jones P (2021). Built environment determinants of pedestrian activities and their consideration in urban street design. Sustainability, 13(16): 9362. https://doi.org/10.3390/su13169362   [Google Scholar]
  10. Harrison-Hill T and Chalip L (2013). Marketing sport tourism: Creating synergy between sport and destination. In: Gibson HJ (Ed.), Sport tourism: 170-188. Routledge, Oxfordshire, UK.   [Google Scholar]
  11. Henriksson M, Berg J, Lindkvist C, and Lucas K (2021). Questioning mobility ideals–the value of proximity for residents in socially deprived urban areas in Sweden. Mobilities, 16(5): 792-808. https://doi.org/10.1080/17450101.2021.1947134   [Google Scholar]
  12. Huang H, Zhang B, Cheng J, and Sun Y (2024). Psychological and visual perception of campus lightscapes based on lightscape walking evaluation: A case study of Chongqing University in China. Buildings, 14(3): 753. https://doi.org/10.3390/buildings14030753   [Google Scholar]
  13. Jha I and Pathak KK (2021). Fuzzy-based integrated zero-order shape optimization of steel–concrete–steel sandwich beams. Current Science, 121(7): 941-949. https://doi.org/10.18520/cs/v121/i7/941-949   [Google Scholar]
  14. Jin Y (2022). Urban verticality shaped by a vertical terrain: Lessons from Chongqing, China. Urban Planning, 7(4): 364-376. https://doi.org/10.17645/up.v7i4.5810   [Google Scholar]
  15. John S, Winkler MR, Kaur R, DeAngelo J, Hill AB, Sundermeir SM, Colon-Ramos U, Leone LA, Dombrowski RD, Lewis EC, and Gittelsohn J (2022). Balancing mission and margins: What makes healthy community food stores successful. International Journal of Environmental Research and Public Health, 19(14): 8470. https://doi.org/10.3390/ijerph19148470   [Google Scholar] PMid:35886315 PMCid:PMC9315622
  16. Kadiyam P (2021). Crime rate prediction from street view images using convolutional neural networks and transfer learning. M.Sc. Thesis, University of Twente, Enschede, Netherlands.   [Google Scholar]
  17. Kim SK (2019). Landscape with pedestrian-oriented streetscape design. In: Silva K (Ed.), The Routledge handbook on historic urban landscapes in the Asia-Pacific. Routledge, Oxfordshire, UK.   [Google Scholar]
  18. Kordi AO and Galal Ahmed K (2023). Towards a socially vibrant city: Exploring urban typologies and morphologies of the emerging "CityWalks" in Dubai. City, Territory and Architecture, 10(1): 34. https://doi.org/10.1186/s40410-023-00221-5   [Google Scholar]
  19. Li C, Li P, and Huang X (2022). Liked and disliked streetscape imagery: Relation to emotional motivation and block distribution from tourist bus visitors. Sage Open, 12(3). https://doi.org/10.1177/21582440221117129   [Google Scholar]
  20. Li C, Yao X, and He F (2020). Intelligent design of public facilities in Jiangxi Longhu Mountain based on Taoist culture. In the International Conference on Intelligent Design, IEEE, Xi'an, China: 253-256. https://doi.org/10.1109/ICID52250.2020.00060   [Google Scholar]
  21. Li Z, He Y, Lu X, Zhao H, Zhou Z, and Cao Y (2021). Construction of smart city street landscape big data‐driven intelligent system based on Industry 4.0. Computational Intelligence and Neuroscience, 2021: 1716396. https://doi.org/10.1155/2021/1716396   [Google Scholar] PMid:34950197 PMCid:PMC8691993
  22. Ma X, Ma C, Wu C, Xi Y, Yang R, Peng N, Zhang C, and Ren F (2021). Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing. Cities, 110: 103086. https://doi.org/10.1016/j.cities.2020.103086   [Google Scholar]
  23. MacMillan F, McBride KA, George ES, and Steiner GZ (2019). Conducting a systematic review: A practical guide. In: Liamputtong P (Ed.), Handbook of research methods in health social sciences: 805-826. Springer, Singapore, Singapore. https://doi.org/10.1007/978-981-10-5251-4_113   [Google Scholar]
  24. Mengyuan Z and Jiawei L (2018). The exploration and application of urban profile in city analysis, illustrated by the case of Chongqing. In the 24th ISUF International Conference, Book of Papers, Editorial Universitat Politècnica de València, Valencia, Spain: 139-146. https://doi.org/10.4995/ISUF2017.2017.4800   [Google Scholar]
  25. Mishra A, Gupta B, Kumar N, Singh R, Varma A, and Thakur IS (2020). Synthesis of calcite-based bio-composite biochar for enhanced biosorption and detoxification of chromium Cr (VI) by Zhihengliuella sp. ISTPL4. Bioresource Technology, 307: 123262. https://doi.org/10.1016/j.biortech.2020.123262   [Google Scholar] PMid:32247278
  26. Mishra SS and Verma VK (2020). Design of bioretention filter basin for conservation and purification of storm water runoff in urban areas. International Journal of Recent Technology and Engineering, 9(4): 289-294. https://doi.org/10.35940/ijrte.D5011.119420   [Google Scholar]
  27. Moscardo G (2009). Understanding tourist experience through mindfulness theory. In: Kozak M and Decrop A (Eds.), Handbook of tourist behavior: Theory and practice: 99-115. Volume 16, Routledge, Oxfordshire, UK. https://doi.org/10.4324/9780203881804.pt4   [Google Scholar]
  28. O'Neill T (2021). Flexible fixtures: An exploratory study on the emergence and mobilization of the flexible streets concept in Ontario municipalities. M.Sc. Thesis, University of Waterloo, Waterloo, Canada.   [Google Scholar]
  29. Patandianan MV and Shibusawa H (2020). Importance and performance of streetscapes at a tourism destination in Indonesia: The residents' perspectives. Frontiers of Architectural Research, 9(3): 641-655. https://doi.org/10.1016/j.foar.2020.05.006   [Google Scholar]
  30. Prebensen NK, Vittersø J, and Dahl TI (2013). Value cocreation significance of tourist resources. Annals of Tourism Research, 42: 240-261. https://doi.org/10.1016/j.annals.2013.01.012   [Google Scholar]
  31. Ruiz M and Seguí-Pons JM (2018). Diagnostic of the balance and equity of public transport for tourists and inhabitants. In: Żak J, Hadas Y, and Rossi R (Eds.), Advanced concepts, methodologies and technologies for transportation and logistics: 220-236. Volume 572, Springer International Publishing, Berlin, Germany. https://doi.org/10.1007/978-3-319-57105-8_10   [Google Scholar]
  32. Ruiz M, Segui-Pons JM, and Mateu-LLadó J (2017). Improving bus service levels and social equity through bus frequency modelling. Journal of Transport Geography, 58: 220-233. https://doi.org/10.1016/j.jtrangeo.2016.12.005   [Google Scholar]
  33. Tang X, Zhang L, Chen Z, Wan J, and Li L (2020). Urban street landscape analysis based on street view image recognition. In the International Conference on Urban Engineering and Management Science, IEEE, Zhuhai, China: 145-150. https://doi.org/10.1109/ICUEMS50872.2020.00040   [Google Scholar]
  34. Vale LJ (2022). Just urban design: The struggle for a public city. MIT Press, Cambridge, USA.   [Google Scholar]
  35. Vassallo P, Paoli C, Tilley DR, and Fabiano M (2009). Energy and resource basis of an Italian coastal resort region integrated using energy synthesis. Journal of Environmental Management, 91(1): 277-289. https://doi.org/10.1016/j.jenvman.2009.08.017   [Google Scholar] PMid:19783358
  36. Wang LJ and Chen MH (2021). Nonlinear impact of air quality on tourist arrivals: New proposal and evidence. Journal of Travel Research, 60(2): 434-445. https://doi.org/10.1177/0047287519899993   [Google Scholar]
  37. Wang X, Xi J, Wang Y, Bogdan P, and Nazarian S (2020). An efficient task mapping for manycore systems. In the IEEE International Symposium on Circuits and Systems, IEEE, Seville, Spain: 1-4. https://doi.org/10.1109/ISCAS45731.2020.9181267   [Google Scholar]
  38. White M and Langenheim N (2021). A ladder-truss of citizen participation: Reimagining Arnstein's ladder to bridge between the community and sustainable urban design outcomes. Journal of Design Research, 19(1-3): 155-183. https://doi.org/10.1504/JDR.2021.121067   [Google Scholar]
  39. Yao C, Li G, and Yan S (2024). Design strategies to improve metro transit station walking environments: Five stations in Chongqing, China. Buildings, 14(4): 1025. https://doi.org/10.3390/buildings14041025   [Google Scholar]
  40. Yuan L and Marzuki A (2024). What keeps historical theme park visitors coming? Research based on expectation confirmation theory. Frontiers in Psychology, 15: 1293638. https://doi.org/10.3389/fpsyg.2024.1293638   [Google Scholar] PMid:38487662 PMCid:PMC10937583
  41. Zhang C, Chen Y, Chen H, and Chong D (2021). Industry 4.0 and its implementation: A review. Information Systems Frontiers, 26: 1773–1783. https://doi.org/10.1007/s10796-021-10153-5   [Google Scholar]
  42. Zipori E (2022). The future of the urban street in the United States: Visions of alternative mobilities in the twenty-first century. Ph.D. Dissertation, New Jersey Institute of Technology, Newark, USA.   [Google Scholar]