An Overview of Indicators and Indices Used for Urban Mobility Assessment
Abstract
The urban mobility is affected by global trends resulting in a growing passenger and freight transport demand. In order to improve the understanding of urban mobility in general, to evaluate mobility services and to quantify the overall transport system performance, it is necessary to assess urban mobility. Urban mobility assessment requires the application of methodology integrating different metrics and explicitly applying a multi-dimensional approach. Since scientific community does not define urban mobility in an unambiguous way, part of this paper is devoted to the analysis of the definition of urban mobility. This step enables better understanding of urban mobility in general, as well as understanding of the urban mobility assessment process. Usually, a three-layered approach that includes urban mobility data, indicators and indices is used for the assessment. Therefore, the aim of this paper was to perform extensive research in order to synthesize, define and organize the elements of those layers. The existing urban mobility indicators and indices have been developed for specific urban areas, taking into account local specifications, and they are not applicable in other cities. Also, the choice of urban mobility indicators is mainly related to the existence of data sources, which limits the objective and comparable assessment of the mobility of cities where such data do not exist.
References
Kuhlke O. Mobilities, Networks, Geographies. Prof Geogr. 2008 Aug;60(3): 429-30. Available from: doi:10.1080/00330120802115391
Brčić D, Ševrović M. Logistika prijevoza putnika. Zagreb: Fakultet pormetnih znanosti Sveučilišta u Zagrebu; 2012. 139 p.
Hanson S, Giuliano G. The Geography of urban transportation. London, UK: The Guliford Press; 2004.
Gillis D, Semanjski I, Lauwers D. How to monitor sustainable mobility in cities? Literature review in the frame of creating a set of sustainable mobility indicators. Sustain. 2016;8(1): 1-30.
Amaral RR, Šemanjski I, Gautama S, Aghezzaf EH. Urban mobility and city logistics – Trends and case study. Promet – Traffic – Traffico. 2018;30(5): 613-22.
Casey J, Norwood JL, editors. Key transportation indicators: Summary of a workshop. Washington, D.C.: National Academy Press; 2002. 41 p. Available from: http://www.nap.edu/catalog/10404
Costa MS, Silva ANR, Ramos RAR. Sustainable urban mobility: a comparative study and the basis for a management system in Brazil and Portugal. Urban Transp XI Urban Transp Environ 21th century. 2005;77: 323-32.
Brčić D, Šoštarić M. Parkiranje i garaže. Zagreb: Fakultet prometnih znanosti Sveučilišta u Zagrebu; 2012.
Rashidy EL, Ahmed R, Muller G, EL Rashidy, Rawia Ahmed and Grant Muller S. A network mobility indicator using a fuzzy logic approach. TRB 93rd Annu Meet Compend Pap Transp Res Board. 2014;44: 1-14.
Gudmundsson H. Making concepts matter: sustainable mobility and indicator systems in transport policy. Int Soc Sci J. 2003;55(176): 199-217. Available from: http://dx.doi.org/10.1111/j.1468-2451.2003.05502003.x
Litman T. Developing Indicators for Comprehensive and Sustainable Transport Planning. Transp Res Rec. 2007;2017(1): 10-15.
Litman T. Well Measured – Developing Indicators for Sustainable and Livable Transport Planning. Victoria, BC, CA: Victoria Transport Policy Institute; 2016.
Litman T. Measuring transportation: Traffic, mobility and accessibility. ITE J.-Inst. Transp. Eng. 2003;73(10): 28-32.
Litman T. Evaluating Accessibility for Transport Planning - Measuring People’s Ability to Reach Desired Goods and Activities. Victoria, BC, CA: Victoria
Transport Policy Institute; 2019. Available from: https://vtpi.org/access.pdf
Kaparias I, Eden N, Tsakarestos A, Gal-Tzur A, Gerstenberger M, Hoadley S, et al. Development and Application of an Evaluation Framework for Urban Traffic Management and Intelligent Transport Systems. Procedia - Soc Behav Sci. 2012;48: 3102-12.
Abramović B, Šipuš D. Prijedlog za poboljšanje mobilnosti na području Grada Siska. Željeznice 21. 2015;14(4): 93-8.
Vidović K, Mandžuka S, Brčić D. Estimation of urban mobility using public mobile network. In: Muštra M, Vitas D, Zovko-Cihlar B, editors: Proceedings of the 59th International Symposium ELMAR-2017, 18-20 September 2017, Zadar, Croatia. Zagreb, Croatia: Faculty of Electrical Engineering and Computing; 2017.
Zelenika R. Metodologija i tehnologija izrade znanstvenog i stručnog djela IV. Rijeka: Ekonomski fakultet Sveučilišta u Rijeci; 2000.
Mandžuka S, Ivanjko E, Vujić M, Škorput P, Gregurić M. The Use of Cooperative ITS in Urban Traffic Management. Intell Transp Syst Technol Appl. 2015; 272-88.
Kaparias I, Bell MGH. Key Performance Indicators for Traffic Management and Intelligent Transport Systems. London; 2011.
Yousaf M. Shah. Developing Key Performance Indicators to assess Urban Transportation Systems. McGill University; 2012.
González MC, Hidalgo CA, Barabási A-L. Understanding individual human mobility patterns. Nature. 2008;453(June): 779-82. Available from: http://barabasi.com/f/250.pdf
Wu J, Wu T. Sustainability Indicators and Indices. Handbook of Sustainable Management. London, UK: Imperial College Press; 2012. p. 65-86.
Zhang D, Huang J, Li Y, Zhang F, Xu C, He T. Exploring human mobility with multi-source data at extremely large metropolitan scales. In: Proceedings of the 20th annual international conference on Mobile computing and networking - MobiCom ’14, New York, New York, USA. ACM Press; 2014. p. 201-12. Available from: http://dl.acm.org/citation.cfm?doid=2639108.2639116
Lopes J, Bento J, Huang E, Antoniou C, Ben-Akiva M. Traffic and Mobility Data Collection for Real-Time Applications. 13th International IEEE Conference on Intelligent Transportation Systems, 19-22 Sept. 2010, Funchal, Portugal. IEEE; 2010. p. 216-223. Available from: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5625282
Chen C, Ma J, Susilo Y, Liu Y, Wang M. The promises of big data and small data for travel behavior (aka human mobility) analysis. Transp Res Part C. 2016;68: 285-299.
Stančić A, Grgurević I, Kavran Z. Integration of Transport-relevant Data within Image Record of the Surveillance System. Promet – Traffic & Transportation. 2016;28(5): 517-27.
Prabha R, Kabadi MG. Overview of Data Collection Methods for Intelligent Transportation Systems. Int J Eng Sci. 2016;5(3): 16-20.
Wang H, Calabrese F, Di Lorenzo G, Ratti C. Transportation mode inference from anonymized and aggregated mobile phone call detail records. 13th International IEEE Conference on Intelligent Transportation Systems, 19-22 Sept. 2010, Funchal, Portugal. IEEE; 2010. p. 318-23. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5625188
Frias-Martinez V, Soguero C, Frias-Martinez E. Estimation of urban commuting patterns using cellphone network data. Proceedings of the ACM SIGKDD International Workshop on Urban Computing - UrbComp’12, 12-16 August 2012, Beijing, China. 2012; p. 9-16.
Calabrese F, Diao M, Lorenzo G Di, Ferreira J, Ratti C. Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. Transp Res Part C. 2013;26: 301-313.
Chen C, Bian L, Ma J. From traces to trajectories: How well can we guess activity locations from mobile phone traces? Transp Res Part C Emerg Technol. 2014;46: 326-37. Available from: doi:10.1016/j.trc.2014.07.001
Çolak S, Alexander LP, Alvim BG, Mehndiretta SR, Gonzalez MC. Analyzing Cell Phone Location Data for Urban Travel: Current Methods, Limitations and Opportunities. TRB 2015 Annu Meet. 2015; p. 1-17.
Vidović K, Mandžuka S, Brčić D. ANFIS Based Expert Systems Prototype Development for Estimation of Urban Mobility. In: Proceedings of 60th International Symposium ELMAR-2018, 16-19 September 2018, Zadar, Croatia. Zagreb, Croatia: Faculty of Electrical Engineering and Computing; 2018. p. 47-50.
Mandžuka B, Brčić D, Škorput P. Primjena multimodalnih putnih vodiča za gradska i međugradska putovanja. In: 34th Conference on Transportation Systems with International Participation „Automation in Transportation“, 5-9 November 2014, Dubrovnik, Croatia; 2014.
Mandžuka S, Brčić D, Škorput P. ITS in the function of sustainable urban mobility. In: 22nd Iternational Symposium on Electronic in Transporrt - ISEP 2014. Ljubljana, Slovenia; 2014.
Vidović K, Mandžuka S, Brčić D. Estimation of Urban Mobility using Public Mobile Network. In: Muštra M, Vitas D, Zovko-Cihlar B, editors: Proceedings of the 59th International Symposium ELMAR-2017, 18-20 September 2017, Zadar, Croatia. Zagreb, Croatia: Faculty of Electrical Engineering and Computing; 2017. p. 21-4. Available from: http://bib.irb.hr/prikazi-rad?rad=892828
Mamdoohi AR, Zavareh MF, Hydén C, Nordfjærn T. Comparative analysis of safety performance indicators based on inductive loop detector data. Promet – Traffic – Traffico. 2014;26(2): 139-49.
Marsden Sotirios GT. Improved indicators for sustainable transport and planning: Measuring wider economic benefits of transport - A case study in good practice for indicator selection. Leeds, UK: Institute for Transport Studies University of Leeds; 2008.
Marsden G, Snell C. The role of indicators, targets and monitoring in decision-support for transport. Eur J Transp Infrastruct Res. 2009;9(3): 219-36.
Alberti M. Measuring urban sustainability. Vol. 16, Environmental Impact Assessment Review; 1996. p. 381-424.
Anastasi G, Antonelli M, Bechini A, Brienza S, D’Andrea E. Urban and social sensing for sustainable mobility in smart cities. In: Proceedings of Sustainable Internet and ICT for Sustainability (SustainIT). Palermo, Italija; 2013.
Huang L, Jianguo W, Yan L. Defining and measuring urban sustainability: A review of indicator. Landsc Ecol. 2015;30: 1175-93.
Zietsman J, Rilett LR. Sustainable Transportation: Conceptualization and Performance Measures. Vol. 7. Austin, USA: Texas Transportation Institute; 2002. 163 p. Available from: http://swutc.tamu.edu/publications/technicalreports/167403-1.pdf
Mameli F, Marletto G. A selection of indicators for monitoring sustainable urban mobility policies. Trasp Ambient e Territ La Ric di un nuovo equilibrio, Milano; 2009.
Toth-Szabo Z, Várhelyi A. Indicator Framework for Measuring Sustainability of Transport in the City. Procedia - Soc Behav Sci. 2012;48: 2035-47.
Nicolas JP, Pochet P, Poimboeuf H. Towards sustainable mobility indicators: Application to the Lyons conurbation. Transp Policy. 2003;10(3): 197-208.
Cianfano M, Gentile G, Nussio F, Tuffanelli G, Rossi P, Vergini R, Terenzi G. Transport and Mobility Indicators Based on Traffic Measures – Good Practices Guidebook; 2008.
Imran M, Low N. Time to Change the Old Paradigm: Promoting Sustainable Urban Transport. World Transp Policy Pract. 2003;9(2): 32-9.
Barker W. Can a Sustainable Transportation System Be Developed for San Antonio, Texas. Transp Res Rec J Transp Res Board. 2005 Jan;1924: 120-8. Available from: doi:10.3141/1924-16
EYGM. Urban mobility redifined; 2015. Available from: http://www.ey.com/Publication/vwLUAssets/EY-urban-mobility-redefined/$FILE/EY-urban-mobility-redefined.pdf
Stantchev D, Rye T. Findings and Recommendations from CIVITAS CAPITAL Advisory Groups Data and Statistics. Edinburgh; 2015.
Ševrović M, Brčić D, Kos G. Transportation Costs and Subsidy Distribution Model for Urban and Suburban Public Passenger Transport. Promet – Traffic & Transportation. 2015;27(1): 23-33.
Frei F. Sampling mobility index: Case study in Assis-Brazil. Transp Res Part A Policy Pract. 2006;40(9): 792-9.
Cortright J. Measuring Urban Transportation Performance. Chicago: Impresa; 2010.
Kumar A, Chor H, Haque M, Yuen B. A methodological framework for benchmarking smart transport cities. Cities. 2014;37: 47-56. Available from: doi:10.1016/j.cities.2013.11.004
Murr S, Phillips S. The Proposal of a Shared Mobility City Index to Support Investment Decision Making for Carsharing. World Acad Sci Eng Technol Int J Soc Behav Educ Econ Bus Ind Eng. 2016;10(2): 610-7.
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