Urban performance: a systematic literature review
DOI:
https://doi.org/10.3989/arbor.2024.811.001Keywords:
urban performance, urban studies, urban management, urban planning, urban policyAbstract
The focus here is to explore and organize the literature of urban studies on urban performance and the main indicators used. This study applies a literature review analysing a sample of 47 papers gathered from the Scopus database. All of the selected papers are concerned with urban studies, urban management, and urban planning. This study provides a guide for scholars and practitioners containing the main indicators used for measuring urban performance and how they can effectively explore those indicators to produce better research and policies. Findings reveal a synthesis of the most used indicators for measuring the urban performance of the mainstream approaches in urban studies (socioeconomic and demographic; environmental; smart cities; urban design, built environment, and territory; public administration, government, and governance; energy efficiency; sustainability and sustainable development; transportation and mobility; benchmarking; and global cities). Also provided are how these indicators can be better explored by scholars and practitioners. The social and managerial contributions of this paper lie in its synthesis of urban performance indicators, which can be useful for scholars to improve their research as well as to enable urban planners and managers to work more efficiently with urban policies and thus improve the desired urban performance for one or various approaches.
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References
Agnoletti, Chiara et al. (2015). First- and Second-Tier Cities in Regional Agglomeration Models. European Planning Studies, 23(6): 1146-1168. https://doi.org/10.1080/09654313.2014.905006
Apreda, Carmela; D'Ambrosio, Valeria and Di Martino, Ferdinando (2019). A climate vulnerability and impact assessment model for complex urban systems. Environmental Science and Policy, 93: 11-26. https://doi.org/10.1016/j.envsci.2018.12.016
Arbabi, Hadi; Mayfield, Martin and Dabinett, Gordon (2019). Urban performance at different boundaries in England and Wales through the settlement scaling theory. Regional Studies, 53(6): 887-899. https://doi.org/10.1080/00343404.2018.1490501
Arcidiacono, Andrea and Ronchi, Silvia (2019). Ecosystem services and naturebased solutions. A project of urban resilience for Rocinha. Territorio, (90): 94-99. https://doi.org/10.3280/TR2019-090011
Bettencourt, Luíset al. (2010). Urban scaling and its deviations: Revealing the structure of wealth, innovation and crime across cities. PLoS ONE, 5(11): e13541. https://doi.org/10.1371/journal.pone.0013541 PMid:21085659 PMCid:PMC2978092
Beck, Donizeteet al. (2020). A theoretical framework on the social dimension of the smartness of the Smart Cities. Revista de Arquitetura IMED, 9(2): 1-17.
Beck, Donizete and Conti, Diego de Melo (2021). The role of urban innovativeness, smart governance, and smart development in the urban smartness. Humanidades & Inovação, 8(49): 141-151.
Beck, Donizete and Ferasso, Marcos (2022). Image of cities as tool for urban governance in Mercosur: contributions from urban and city branding. Brazilian Journal of Marketing, 21(1): 9-28. https://doi.org/10.5585/remark.v21i1.19354
Beck, Donizete and Ferasso, Marcos (2023). Bridging 'Stakeholder Value Creation' and 'Urban Sustainability': The need for better integrating the Environmental Dimension. Sustainable Cities and Society, 89, 104316. https://doi.org/10.1016/j.scs.2022.104316
Beck, Donizete et al.(2023). Achieving the sustainable development goals through stakeholder value creation: Building up smart sustainable cities and communities. Journal of Cleaner Production, 399, 136501. https://doi.org/10.1016/j.jclepro.2023.136501
Beck, Donizete and Storopoli, José. (2021). Cities through the lens of Stakeholder Theory: A literature review. Cities, 118: 103377. https://doi.org/10.1016/j.cities.2021.103377
Bibri, Simon Elias and Krogstie, John (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable cities and society, 31: 183-212. https://doi.org/10.1016/j.scs.2017.02.016
Brown, Albert and Kirby, Ronald (1971). Measuring urban performance. Journal of Cybernetics, 1(4): 32-54. https://doi.org/10.1080/01969727108542901
Caputo, Paola; Pasetti, Giulia and Ferrari, Simone (2019). Implementation of an urban efficiency index to comprehend post-metropolitan territories - The case of Greater Milan in Italy. Sustainable Cities and Society, 48: 101565. https://doi.org/10.1016/j.scs.2019.101565
Caragliu, Andrea; Del Bo, Chiara and Nijkamp, Peter (2011). Smart cities in Europe. Journal of Urban Technology, 18(2): 65-82. https://doi.org/10.1080/10630732.2011.601117
Caragliu, Andrea and Del Bo, Chiara (2012). Smartness and European urban performance: Assessing the local impacts of smart urban attributes. Innovation, 25(2): 97-113. https://doi.org/10.1080/13511610.2012.660323
Caragliu, Andreaet al. (2012). In search of incredible cities by means of super-efficiency data envelopment analysis. Studies in Regional Science, 42(1): 129-144. https://doi.org/10.2457/srs.42.129
Caragliu, Andrea and Del Bo, Chiara (2018). The economics of smart city policies. Scienze Regionali, 17(1): 1-104.
Cesme, Buraket al. (2017). Data-driven urban performance measures: Case study application in the district of Columbia. Transportation Research Record, 2605(1): 45-53. https://doi.org/10.3141/2605-04
Chang, Soowonet al. (2019). Multivariate relationships between campus design parameters and energy performance using reinforcement learning and parametric modeling. Applied Energy, 249: 253-264. https://doi.org/10.1016/j.apenergy.2019.04.109
Charlton, Jameset al. (2015). Understanding the interoperability of virtual city models in assessing the performance of city centre squares. Environment and Planning A, 47(6): 1298-1312. https://doi.org/10.1177/0308518X15594904
Chokhachian, Ataet al. (2020). Urban performance and density: Generative study on interdependencies of urban form and environmental measures. Sustainable Cities and Society, 53: 101952. https://doi.org/10.1016/j.scs.2019.101952
Duarte, Fábio and Ultramari, Clovis (2012). Making Public Transport and Housing Match: Accomplishments and Failures of Curitba's BRT. Journal of Urban Planning and Development, 138(2): 183-194. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000107
Golubchikov, Oleg (2006). Interurban development and economic disparities in a Russian Province. Eurasian Geography and Economics, 47(4): 478-495. https://doi.org/10.2747/1538-7216.47.4.478
Greasley, Stephen; John, Peter and Wolman, Harold (2011). Does government performance matter? the effects of local government on urban outcomes in England. Urban Studies, 48(9): 1835-1851. https://doi.org/10.1177/0042098010380955
Jiao, Liminet al. (2020). Assessment of urban land use efficiency in China: A perspective of scaling law. Habitat International, 99: 102172. https://doi.org/10.1016/j.habitatint.2020.102172
Keirstead, James (2013). Benchmarking urban energy efficiency in the UK. Energy Policy, 63: 575-587. https://doi.org/10.1016/j.enpol.2013.08.063
Kourtit, Karima; Nijkamp, Peter and Suzuki, Soushi (2021). Comparative urban performance assessment of safe cities through data envelopment analysis. Regional Science Policy and Practice, 13(3): 591-602. https://doi.org/10.1111/rsp3.12276
Kitchin, Rob; Lauriault, Tracy and McArdle, Gaving (2015). Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2(1): 6-28. https://doi.org/10.1080/21681376.2014.983149
Lozano, Eduardo, et al. (1974). Level of Services and Degree of Accessibility: Spatial Urban Simulation Model. Regional Studies, 8(1): 21-45. https://doi.org/10.1080/09595237400185031
Maia, JulianaLúcioMotta; Netto, Vinicius and Da Costa, BrunoLucianGonçalves (2019). Urban form and atmospheric pollution: Assessing impacts in Rio de Janeiro. Urbe, 11: e20180145. https://doi.org/10.1590/2175-3369.011.001.e20180145
Maltese, Ila; Mariotti, Ilaria and Boscacci, Flavio (2016). Smart city, urban performance and energy. In: Papa, Rocco and Fistola, Romano (eds.) Green Energy and Technology. Cham, Switzerland: Springer, pp. 25-42. https://doi.org/10.1007/978-3-319-31157-9_2
Marchand, Claude (1987). The short term performance of Canadian urban economies, 1957-1980. Environments, 19(1): 38-47.
Martín-Martín, Alberto; Orduna-Malea, Enrique and López-Cózar, Emilio Delgado (2018a). Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison. Scientometrics, 116(3): 2175-2188. https://doi.org/10.1007/s11192-018-2820-9
Martín-Martín, Alberto; Orduna-Malea, Enrique and López-Cózar, Emilio Delgado (2018b). Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4): 1160-1177. https://doi.org/10.1016/j.joi.2018.09.002
McCarthy, Linda (2000). European Integration, Urban Economic Change, and Public Policy Responses. Professional Geographer, 52(2): 193-205. https://doi.org/10.1111/0033-0124.00217
Moertiningsih, Sarwosri; Nurgandarum, Dedes and Nurfanty, Otty (2020). Permeability characteristics of unplanned settlements in Jakarta. International Journal of Scientific and Technology Research, 9(3): 1999-2003.
Molinaro, Rafaelet al. (2020). Urban Development Index (UDI): A comparison between the city of Rio de Janeiro and four other global cities. Sustainability, 12(3): 823. https://doi.org/10.3390/su12030823
Mongeon, Philippe and Paul-Hus, Adèle (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106: 213-228. https://doi.org/10.1007/s11192-015-1765-5
Moraci, Francesca; Fazia, Celestina and Errigo, Maurizio Francesco (2018). Smart tools for energy resilient city. Annales de Chimie: Science des Materiaux, 42(4): 459-470. https://doi.org/10.3166/acsm.42.459-470
Nicolas, Clément, Kim, Jinwoo and Chi, Seokho (2020). Quantifying the dynamic effects of smart city development enablers using structural equation modeling. Sustainable Cities and Society, 53: 101916. https://doi.org/10.1016/j.scs.2019.101916
Noyman, Arielet al. (2019). Reversed urbanism: Inferring urban performance through behavioral patterns in temporal telecom data. Environment and Planning B: Urban Analytics and City Science, 46(8): 1480-1498. https://doi.org/10.1177/2399808319840668
Parrado, Salvadoret al. (2013). Correlates of Co-production: Evidence From a Five-Nation Survey of Citizens. International Public Management Journal, 16(1): 85-112. https://doi.org/10.1080/10967494.2013.796260
Portnov, Boris and Schwartz, Moshe (2009). On the importance of the 'location package' for Urban growth. Urban Studies, 46(8): 1665-1679. https://doi.org/10.1177/0042098009105504
Seles, Emre and Afacan, Yasemin (2019). Exploring the relationship between health and walkability. Open House International, 440(1): 44-52. https://doi.org/10.1108/OHI-01-2019-B0006
Shmelev, Stanislav and Shmeleva, Irina (2018). Global urban sustainability assessment: A multidimensional approach. Sustainable Development, 26(6): 904-920. https://doi.org/10.1002/sd.1887
Staniscia, Sara; Spacone, Enrico and Fabietti, Valter (2017). Performance-Based Urban Planning: Framework and L'Aquila Historic City Center Case Study. International Journal of Architectural Heritage, 11(5): 656-669. https://doi.org/10.1080/15583058.2017.1287977
Stossel, Zeev; Kissinger, Meidad and Meir, Avinoam (2015). Assessing the state of environmental quality in cities - A multi-component urban performance (EMCUP) index. Environmental Pollution, 206: 679-687. https://doi.org/10.1016/j.envpol.2015.07.036 PMid:26334706
Trovato, Maria Rosa and Giuffrida, Salvatore (2014). The choice problem of the urban performances to support the Pachino's redevelopment plan. International Journal of Business Intelligence and Data Mining, 9(4): 330-355. https://doi.org/10.1504/IJBIDM.2014.068458
Wang, Xinet al. (2017). Identification of key energy efficiency drivers through global city benchmarking: A data driven approach. Applied Energy, 190: 18-28. https://doi.org/10.1016/j.apenergy.2016.12.111
Webster, Cristopher John (1998). Sustainability and public choice: a theoretical essay on urban performance indicators. Environment and Planning B: Planning and Design, 25(5): 709-729. https://doi.org/10.1068/b250709
Webster, Christopher John and Wu, Fulong (1999a). Regulation, land-use mix, and urban performance. Part 2: Simulation. Environment and Planning A, 31(9): 1529-1545. https://doi.org/10.1068/a311529
Webster, Christopher John and Wu, Fulong (1999b). Regulation, land-use mix, and urban performance. Part 1: Theory. Environment and Planning A, 31(8): 1433-1442. https://doi.org/10.1068/a311433
Wu, Fulong and Webster, Christopher John (1998). Simulation of natural land use zoning under free-market and incremental development control regimes. Computers, Environment and Urban Systems, 22(3): 241-256. https://doi.org/10.1016/S0198-9715(98)00044-1
Xu, Shuxianet al. (2020). The effects of transportation system improvements on urban performances with heterogeneous residents. Journal of Management Science and Engineering, 5(4): 287-302. https://doi.org/10.1016/j.jmse.2020.09.002
Zhao, Xiaobin and Zhang, Li (1995). Urban Performance and the Control of Urban Size in China. Urban Studies, 32(4-5): 813-846. https://doi.org/10.1080/00420989550012906
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