The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD
Abstract
:1. Introduction
2. Theoretical Backgrounds: A Literature Review
3. Research Design
4. The Definition of Smart TOD
4.1. The Conceptual Review of the Definition of ‘Smart City’
4.2. The Definition of Smart TOD
5. The DNA of Smart TOD
5.1. The DNA Sources of Smart TOD
5.2. The 3-Step Work for Getting the DNA Subchain α
5.2.1. Step 1: The Functional Review of Smart City
5.2.2. Step 2: The Deconstruction of the Functions of Smart City
5.2.3. Step 3: The Reconstruction for Subchain
5.3. The 3-Step Work for Getting the DNA Subchain β
5.3.1. Step 1: The Functional Review of TOD
5.3.2. Step 2: The Deconstruction of the Functions of TOD
5.3.3. Step 3: The Reconstruction for DNA Subchain β
5.4. The DNA Map of S-TOD
- Gene 1 stands for the inner law of S-TOD, which is to develop urban utilizing technology and public transit guidance, etc. It is the reason why S-TOD is coming.
- Gene 2 stands for the response points, which is to respond to human needs in urban activities, etc. It contains the points at which S-TOD is aiming.
- Gene 3 stands for the response ways, which is to rely on TOD-related urban planning, traffic prediction-based research, BD, Cloud Computing, IoT, etc. It is the ways through which S-TOD is acting.
- Gene 4 stands for the spatial senses, which is to track human activities through mobile phones, cameras, etc. It is the senses on which S-TOD is relying.
- Gene 5 stands for the spatial zones, which is referring to the targeted urban areas, etc. It is the objectives on which S-TOD is working.
6. The Structure of Smart TOD
6.1. The Overall Structure
6.2. The Characteristics of Layer A
6.3. The Characteristics of Layer B
6.4. The Characteristics of Layer C
7. Discussion
8. Conclusions and Further Research Agenda
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Gibson, D.V.; Kozmetsky, G.; Smilor, R.W. Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks; Rowman & Littlefield Publishers: Lanham, MD, USA, 1992. [Google Scholar]
- Nam, T.; Pardo, T.A. Smart city as urban innovation: Focusing on management, policy, and context. In Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance (ICEGOV ‘11), Tallinn, Estonia, 26–29 September 2011; Association for Computing Machinery: New York, NY, USA, 2011; pp. 185–194. [Google Scholar] [CrossRef]
- Scuotto, V.; Ferraris, A.; Bresciani, S. Internet of things applications and challenges in smart cities: A case study of Ibm smart city projects. Bus. Process Manag. J. 2016, 22, 357–367. [Google Scholar] [CrossRef]
- Cohen, B. The Smart City Wheel [EB/OL]. 2020. Available online: https://www.smart-circle.org/smart-city/boyd-cohen-smart-city-wheel (accessed on 10 September 2021).
- Kuru, K.; Ansell, D. TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities into Smart Cities. IEEE Access 2020, 8, 18615–18644. [Google Scholar] [CrossRef]
- IDC. Worldwide Smart Cities Spending Guide. 2020. V1. Available online: https://www.idc.com/cn (accessed on 5 September 2021).
- Research and Markets. Smart Grid Market by Component, by Application, by End User—Global Opportunity Analysis and Industry Forecast, 2021–2030. 2020. Available online: https://www.researchandmarkets.com/ (accessed on 5 September 2021).
- Puiu, D.; Barnaghi, P.; Tönjes, R.; Kümper, D.; Ali, M.I.; Mileo, A.; Parreira, J.X.; Fischer, M.; Kolozali, S.; Farajidavar, N.; et al. CityPulse: Large scale data analytics framework for smart cities. IEEE Access 2016, 4, 1086–1108. [Google Scholar] [CrossRef]
- Kaur, M.J.; Maheshwari, P. Building smart cities applications using IoT and cloud-based architectures. In Proceedings of the 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), Sharjah, United Arab Emirates, 13–15 March 2016; pp. 1–5. [Google Scholar]
- Townsend, A.M. Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia; WW Norton & Company: New York, NY, USA, 2013. [Google Scholar]
- Foth, M. The next urban paradigm: Cohabitation in the smart city. IT Inf. Technol. 2017, 59, 259–262. [Google Scholar] [CrossRef] [Green Version]
- Cowley, R.; Joss, S.; Dayot, Y. The smart city and its publics: Insights from across six UK cities. Urban Res. Pract. 2018, 11, 53–77. [Google Scholar] [CrossRef] [Green Version]
- Monfaredzadeh, T.; Berardi, U. Beneath the smart city: Dichotomy between sustainability and competitiveness. Int. J. Sustain. Build. Technol. Urban Dev. 2015, 6, 140–156. [Google Scholar] [CrossRef]
- Praharaj, S.; Han, J.H.; Hawken, S. Urban innovation through policy integration: Critical perspectives from 100 smart cities mission in India. City Cult. Soc. 2018, 12, 35–43. [Google Scholar] [CrossRef]
- Yigitcanlar, T.; Kamruzzaman, M.; Buys, L.; Ioppolo, G.; Sabatini-Marques, J.; da Costa, E.M.; Yun, J.J. Understanding ‘smart cities’: Intertwining development drivers with desired outcomes in a multidimensional framework. Cities 2018, 81, 145–160. [Google Scholar] [CrossRef]
- Badii, C.; Bellini, P.; Difino, A.; Nesi, P. Smart City IoT Platform Respecting GDPR Privacy and Security Aspects. IEEE Access 2020, 8, 23601–23623. [Google Scholar] [CrossRef]
- Mishra, P.; Thakur, P.; Singh, G. Sustainable Smart City to Society 5.0: State-of-the-Art and Research Challenges. SAIEE Afr. Res. J. 2022, 113, 152–164. [Google Scholar] [CrossRef]
- Band, S.S.; Ardabili, S.; Mosavi, A.; Jun, C.; Khoshkam, H.; Moslehpour, M. Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed. Energy Rep. 2022, 8, 638–648. [Google Scholar] [CrossRef]
- Shehab, M.J.; Kassem, I.; Kutty, A.A.; Kucukvar, M.; Onat, N.; Khattab, T. 5G networks towards smart and sustainable cities: A review of recent developments, applications and future perspectives. IEEE Access 2022, 10, 2987–3006. [Google Scholar] [CrossRef]
- Raes, L.; Michiels, P.; Adolphi, P.; Tampere, C.; Dalianis, T.; Mcaleer, S.; Kogut, P. DUET: A Framework for Building Secure and Trusted Digital Twins of Smart Cities. IEEE Internet Comput. 2021, 26, 43–50. [Google Scholar] [CrossRef]
- Liu, Q.; Qian, Z.; Huang, H.; Huang, D. A Reflection on Future Smart TOD Development: Discussion on the Pro-TOD and De-TOD. Planners 2020, 36, 5–11. [Google Scholar]
- Graur, D.; Zheng, Y.; Azevedo, R.B.R. An Evolutionary Classification of Genomic Function. Genome Biol. Evol. 2015, 7, 642–645. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Romão, J.; Kourtit, K.; Neuts, B.; Nijkamp, P. The smart city as a common place for tourists and residents: A structural analysis of the determinants of urban attractiveness. Cities 2018, 78, 65–75. [Google Scholar] [CrossRef]
- Heaton, J.; Parlikad, A.K. A conceptual framework for the alignment of infrastructure assets to citizen requirements within a Smart Cities framework. Cities 2019, 90, 32–41. [Google Scholar] [CrossRef]
- Yigitcanlar, T.; Kamruzzaman, M.; Foth, M.; Sabatini-Marques, J.; da Costa, E.; Ioppolo, G. Can cities become smart without being sustainable? A systematic review of the literature. Sustain. Cities Soc. 2019, 45, 348–365. [Google Scholar] [CrossRef]
- Marsal-Llacuna, M.L.; Segal, M.E. The intelligenter method (I) for making “smarter” city projects and plans. Cities 2016, 55, 127–138. [Google Scholar] [CrossRef]
- Anthopoulos, L. Smart utopia VS smart reality: Learning by experience from 10 smart city cases. Cities 2017, 63, 128–148. [Google Scholar] [CrossRef]
- Fernandez-Anez, V.; Fernández-Güell, J.M.; Giffinger, R. Smart City implementation and discourses: An integrated conceptual model. The Case of Vienna. Cities 2018, 78, 4–16. [Google Scholar] [CrossRef]
- Bunders, D.J.; Varró, K. Problematizing data-driven urban practices Insights from five Dutch ‘smart cities’. Cities 2019, 93, 145–152. [Google Scholar] [CrossRef]
- Huston, S.; Rahimzad, R.; Parsa, A. ‘Smart’ sustainable urban regeneration: Institutions, quality and financial innovation. Cities 2015, 48, 66–75. [Google Scholar] [CrossRef] [Green Version]
- Deakin, M. Smart cities: The state-of-the-art and governance challenge. Triple Helix 2014, 1, 7. [Google Scholar] [CrossRef]
- Zhao, F.; Fashola, O.I.; Olarewaju, T.I.; Onwumere, I. Smart city research: A holistic and state-of-the-art literature review. Cities 2021, 119, 103406. [Google Scholar] [CrossRef]
- Rani, S.; Mishra, R.K.; Usman, M.; Kataria, A.; Kumar, P.; Bhambri, P.; Mishra, A.K. Amalgamation of Advanced Technologies for Sustainable Development of Smart City Environment: A Review. IEEE Access 2021, 9, 150060–150087. [Google Scholar] [CrossRef]
- Calthorpe, P. The New American Metropolis: Ecology, Community, and the American Dream; Princeton Architectural Press: New York, NY, USA, 1993. [Google Scholar]
- Knowles, R.D.; Ferbrache, F.; Nikitas, A. Transport’s historical, contemporary and future role in shaping urban development: Re-evaluating transit oriented development. Cities 2020, 99, 102607. [Google Scholar] [CrossRef]
- Goetz, A. Suburban Sprawl or Urban Centres: Tensions and Contradictions of Smart Growth Approaches in Denver, Colorado. Urban Stud. 2013, 50, 2178–2195. [Google Scholar] [CrossRef]
- Knowles, R.D. OURSUS: Transport Geographers: Ideas and Experiences about Aspects of Sustainable Cities; International Geographical Congress: Beijing, China, 2016; Volume 22. [Google Scholar]
- Serra-Coch, G.; Chastel, C.; Campos, S.; Coch, H. Graphical approach to assess urban quality: Mapping walkability based on the TOD-standard. Cities 2018, 76, 58–71. Available online: http://itdp-china.org/enpublication/?lang=0 (accessed on 10 September 2021). [CrossRef] [Green Version]
- ITDP. ITDP TOD Standard, 3rd ed.; Institute for Transportation & Development Policy (IDTP): New York, NY, USA, 2017. [Google Scholar]
- Lu, Y. The planning strategy integration of station, city and people of Shenzhen Rail Transit Line 4 under the guidance of TOD4.0. Planners 2020, 36, 84–91. [Google Scholar]
- Bettencourt, A.; Sanches, M.J.; Alves, L.B.; Valcarce, R.F. Conceptualizing Space and Place on the Role of Agency, Memory, and Identity in the Construction of Space from the Upper Palaeolithic to the Iron Age in Europe: An introduction; Archaeopress: Oxford, UK, 2010. [Google Scholar]
- Man, W.; Qun, Z. The Deconstruction and Reshaping of Space: The Application of Virtual Reality in Living Space. In Proceedings of the International Conference on Measuring Technology & Mechatronics Automation, Changsha, China, 14–15 January 2017; pp. 410–413. [Google Scholar]
- Mirza, N.A.; Akhtar-Danesh, N.; Noesgaard, C.; Martin, L.; Staples, E. A concept analysis of abductive reasoning. J. Adv. Nurs. 2014, 70, 1980–1994. [Google Scholar] [CrossRef]
- Soiferman, L.K. Compare and Contrast Inductive and Deductive Research Approaches. 2010. Available online: https://files.eric.ed.gov/fulltext/ED542066.pdf (accessed on 10 September 2020).
- Mohamad, A.M.; Yan, F.Y.Y.; Aziz, N.A.; Norhisham, S. Inductive-Deductive Reasoning in Qualitative Analysis using ATLAS.ti: Trending Cybersecurity Twitter Data Analytics. In Proceedings of the 2022 3rd International Conference for Emerging Technology (INCET), Belgaum, India, 27–29 May 2022; pp. 1–5. [Google Scholar] [CrossRef]
- Palmisano, S.J. A Smarter Planet: The Next Leadership Agenda. 2020. Available online: https://www.ibm.com/ibm/cioleadershipexchange/us/en/pdfs/SJP_Smarter_Planet.pdf (accessed on 10 September 2020).
- Dirks, S.; Keeling, M. A vision of smarter cities: How cities can lead the way into a prosperous and sustainable future. IBM Inst. Bus. Value 2009, 8, 1–6. [Google Scholar]
- Trencher, G. Towards the smart city 2.0: Empirical evidence of using smartness as a tool for tackling social challenges. Technol. Forecast. Soc. Chang. 2019, 142, 117–128. [Google Scholar] [CrossRef]
- Rudolf, G.; Fertner, C.; Kramar, H.; Kalasek, R.; Pichler-Milanovic, N.; Meijers, E. Smart Cities: Ranking of European Medium-Sized Cities; Centre of Regional Science: Vienna, UT, USA, 2007; pp. 1–25. [Google Scholar]
- Chourabi, H.; Nam, T.; Walker, S.; Gil-Garcia, J.R.; Scholl, H.J. Understanding smart cities: An integrative framework. In Proceedings of the 2012 45th Hawaii International Conference on System Sciences, Maui, HI, USA, 4–7 January 2012. [Google Scholar]
- Wei, W.; Li, R.Q. A Primary Investigation into Revolution and Way to Reform under the Background of Smart City Construction. In Advanced Materials Research; Trans Tech Publications, Ltd.: Wollerau, Switzerland, 2011; Volume 368–373, pp. 3593–3597. Available online: https://doi.org/10.4028/www.scientific.net/amr.368-373.3593 (accessed on 10 September 2020).
- Vessali, K.V. Land use impacts of rapid transit: A review of the empirical literature. Berkeley Plan. J. 1996, 11, 71–105. [Google Scholar] [CrossRef] [Green Version]
- Cervero, R.; Day, J. Suburbanization and transit-oriented development in China. Transp. Policy 2008, 15, 315–323. [Google Scholar] [CrossRef]
- Hess, D.B.; Lombardi, P.A. Policy support for and barriers to transit-oriented development in the inner city: Literature review. Transp. Res. Rec. 2004, 1887, 26–33. [Google Scholar] [CrossRef] [Green Version]
- Dittmar, H.; Poticha, S. Defining transit-oriented development: The new regional building block. In The New Transit Town: Best Practices in Transit-Oriented Development; Island Press: Washington, DC, USA, 2004; pp. 19–40. [Google Scholar]
- Xu, W.A.; Guthrie, A.; Fan, Y.; Li, Y. Transit-oriented development: Literature review and evaluation of TOD potential across 50 Chinese cities. J. Transp. Land Use 2017, 10, 743–762. [Google Scholar] [CrossRef] [Green Version]
- Jacobson, J.; Forsyth, A. Seven American TODs: Good practices for urban design in transit-oriented development projects. J. Transp. Land Use 2008, 1, 51–88. [Google Scholar] [CrossRef] [Green Version]
- Papa, E.; Bertolini, L. Accessibility and transit-oriented development in European metropolitan areas. J. Transp. Geogr. 2015, 47, 70–83. [Google Scholar] [CrossRef] [Green Version]
- Millward, H. Urban containment strategies: A case-study appraisal of plans and policies in Japanese, British, and Canadian cities. Land Use Policy 2006, 23, 473–485. [Google Scholar] [CrossRef]
- Thomas, R.; Bertolini, L. Beyond the case study dilemma in urban planning: Using a meta-matrix to distil critical success factors in transit-oriented development. Urban Policy Res. 2014, 32, 219–237. [Google Scholar] [CrossRef] [Green Version]
- Searle, G.; Darchen, S.; Huston, S. Positive and negative factors for transit oriented development: Case studies from Brisbane, Melbourne and Sydney. Urban Policy Res. 2014, 32, 437–457. [Google Scholar] [CrossRef]
- Balducci, A. Smart planning for smart cities. DisP Plan. Rev. 2012, 48, 4–5. Available online: https://www.tandfonline.com/doi/abs/10.1080/02513625.2012.702953 (accessed on 5 September 2021). [CrossRef]
- Wilson, P. State of smart cities in UK and beyond. IET Smart Cities 2019, 1, 19–22. [Google Scholar] [CrossRef]
Blocks | Fragments | ||
---|---|---|---|
Serial | Names | Meanings | |
Conceptual Block | Fragment 1 | Inner law | The reasons it is coming for. |
Fragment 2 | Response points | The points it is aiming at. | |
Structural Block | Fragment 3 | Response ways | The ways it is acting through. |
Fragment 4 | Spatial senses | The senses it is relying on. | |
Fragment 5 | Spatial zones | The objectives it is working on. |
Serial | The Representative Element Chains of SC |
---|---|
1 | People, Business, Transport, Communication, Water, Energy, etc. [3] |
2 | Economy, Management, Mobile, Environment, Life, etc. [47] |
3 | Smart Economy, Smart environment, Smart life, Smart Travel, Smart safety, Smart education, etc. [4] |
4 | Technology, System, People, etc. [2] |
5 | Technology, Organization, Policy, etc. [2] |
6 | Smart Economy, Smart People, Smart management, Smart mobility, Smart environment, Smart life, etc. [49] |
7 | Management, Technology, Governance, Policies, People, Economy, ICT (Information and Communications Technology) infrastructure, Natural environment, etc. [50] |
8 | Urban system planning, SC layout, Smart urban infrastructure planning, Intelligent layout of public service facilities, The wisdom of urban living environment planning, etc. [51] |
9 | Smart governance, Smart community and social network, Smart safety and security, Smart mobility and traffic, Smart energy, Smart health and welfare, Smart environmental monitoring and control, etc. [5] |
Blocks | Fragments | ||
---|---|---|---|
Serial | Names | Meanings | |
Conceptual Block | Fragment 1 | Inner law | To develop urban utilizing technology, etc. (The reasons it is coming for.) |
Fragment 2 | Response points | To respond to human needs in urban activities, etc. (The points it is aiming at.) | |
Structural Block | Fragment 3 | Response ways | To capture and analyze signals of human needs by BD, Cloud Computing, and so on, and respond through IoT, etc. (The ways it is acting through.) |
Fragment 4 | Spatial senses | To track human activities through mobile phones, cameras, etc. (The senses it is relying on.) | |
Fragment 5 | Spatial zones | The targeted urban areas, etc. (The objectives it is working on.) |
Serial | The Element Chains |
---|---|
TOD 1.0 | Center, Walking, Compaction, Utility, Street, Diversification, Public Transport, Guided by Bus Corridors, etc. [34] |
TOD 2.0 | TOD 1.0 + ‘Vertical City’, etc. [38] |
TOD 3.0 | TOD 2.0 + ‘Cycling, Mixture, Connection, Density, Shift’, etc. [39] |
TOD 4.0 | TOD 3.0 + ‘Integration of Station, City and People’, etc. [40] |
Blocks | Fragments | ||
---|---|---|---|
Serial | Names | Meanings | |
Conceptual Block | Fragment 1 | Inner law | To develop urban utilizing TOD, etc. (The reasons it is coming for.) |
Fragment 2 | Response points | To respond to human needs in urban activities, etc. (The points it is aiming at.) | |
Structural Block | Fragment 3 | Response ways | TOD-related urban planning, traffic prediction-based research, etc. (The ways it is acting.) |
Fragment 4 | Spatial senses | There are no special senses that are out of the ordinary, if any, they are regular planning data, traffic survey data, etc. (The senses it is relying on.) | |
Fragment 5 | Spatial zones | The targeted urban areas, etc. (The objectives it’s working on.) |
Layers | Zones | |||
---|---|---|---|---|
Zone 1 (The Traffic Core Zone) | Zone 2 (The Supporting Zone) | Zone 3 (The Covering Zone) | ||
Layer A | Key 1 | Flexible Planning (Flexible urban planning and design means) | ||
Key 2 | Cloud Computing (Powerful processing abilities of Cloud Computing) | |||
Key 3 | Others (Other Internet development technologies) | |||
Layer B | Key 1 | Internet Terminal Equipment (Internet terminals including computers, mobile phones, and other smart devices) | ||
Key 2 | Others (Other Internet terminals with similar functions) | |||
Layer C | Key 1 | The Core Hub (The inner space of the TOD hub station) | The Direct Service Area (The parking support facilities and other direct facilities, etc.) | The Critical Area (The area with important urban functions) |
Key 2 | The Evacuation Area (The evacuation space associated with the core hub and the outside space) | The Indirect Service Area (The commercial, office, and other facilities, etc.) | The Non-critical Area (The area that does not have significant urban functions) | |
Key 3 | The Traffic Area (The accepting traffic space outside the TOD hub) | The Traffic Area (The accepting traffic space) | The Traffic Area (The accepting traffic space) | |
Key 4 | The Online Area (Virtual space for online human activities relying on the Internet) | The Online Area (Virtual space for online human activities relying on the Internet) | The Online Area (Virtual space for online human activities relying on the Internet) | |
Key 5 | Others | Others | Others |
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Bai, L.; Xie, L.; Li, C.; Yuan, S.; Niu, D.; Wang, T.; Yang, Z.; Zhang, Y. The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD. Land 2023, 12, 664. https://doi.org/10.3390/land12030664
Bai L, Xie L, Li C, Yuan S, Niu D, Wang T, Yang Z, Zhang Y. The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD. Land. 2023; 12(3):664. https://doi.org/10.3390/land12030664
Chicago/Turabian StyleBai, Liwei, Lelong Xie, Chaoyang Li, Shengqiang Yuan, Dening Niu, Tao Wang, Zheng Yang, and Yi Zhang. 2023. "The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD" Land 12, no. 3: 664. https://doi.org/10.3390/land12030664
APA StyleBai, L., Xie, L., Li, C., Yuan, S., Niu, D., Wang, T., Yang, Z., & Zhang, Y. (2023). The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD. Land, 12(3), 664. https://doi.org/10.3390/land12030664