Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation

Jurgis Zagorskas, Zenonas Turskis


Non-motorized pedestrian and bicycle traffic is an effective and efficient tool for reducing the negative environmental impacts of transport and improving the quality of life in urban conditions. The strategies of creating new attractive spaces on the waterfront are prevalent amongst the municipalities in different countries. This kind of development intends the construction of new connection bridges, usually meant solely for walking and cycling. There are a significant number of studies covering the theme of pedestrian bridges, but the studies typically focus on technical parameters – serviceability, stress and vibrations, specifications for the design. Researchers and stakeholders rarely discuss displacement strategy, expenditure and future usability. This study aims to find out the best and the most useful bridge locations that would contribute to pedestrian network improvement, would add value to city image and give other benefits. A novel hybrid Multi-Criteria Decision-Making (MCDM) model, based on five different multi-criteria decision-making methods: Multiplicative Exponential Weighting (MEW), method of Evaluation Based on Distance from Average Solution (EDAS), an Additive Ratio Assessment (ARAS) method, expert judgement, and Step‐Wise Weight Assessment Ratio Analysis (SWARA), is presented. A developed model allows solving complicated problems and finding a rationally, balanced solution. Arguments derived from this study help politicians and town planners as well as society.


Multi-Criteria Decision-Making (MCDM); pedestrian accessibility; pedestrian bridges; riverside regeneration and development; road safety; space syntax; sustainable transportation

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Andersson, L., Silfwerbrand, J., Selander, A., & Trägårdh, J. (2018). Continuous Preventive Bridge Maintenance of Swedish Municipalities–A Survey on Common Practice. Nordic Concrete Research, 58(1), 127-142. https://doi.org/10.2478/ncr-2018-0008

Antuchevičienė, J., Zavadskas, E. K., & Turskis, Z. (2015). Evaluating and selecting a contractor for a construction company by using novel method for multi-attribute analysis: Weighted Aggregated Sum Product Assessment with Grey values (WASPAS-G) method. Studies in Informatics and Control, 24(2), 141-150.

Arraes, P., Deyglun, L., Gardner, K., Osarczuk, S., & Rajkarnikar, R. (2015). Tivoli Pedestrian Bridge. Splash Consulting Engineers. 92 p.

Balogun, T. B., Tomor, A., Lamond, J., Gouda, H., & Booth, C. A. (2019, March). Sustainability of bridge maintenance. In Proceedings of the Institution of Civil Engineers-Bridge Engineering (Vol. 172, No. 1, pp. 54-64). Thomas Telford Ltd. https://doi.org/10.1680/jbren.15.00027

Bushell, M. A., Poole, B. W., Zegeer, C. V., & Rodriguez, D. A. (2013). Costs for pedestrian and bicyclist infrastructure improvements. University of North Carolina Highway Safety Research Center, University of North Carolina, Chapel Hill, 45.

Congiu, T., Sotgiu, G., Castiglia, P., Azara, A., Piana, A., Saderi, L., & Dettori, M. (2019). Built environment features and pedestrian accidents: An Italian retrospective study. Sustainability, 11(4), 1064. https://doi.org/10.3390/su11041064

Cooper, C. H. (2018). Predictive spatial network analysis for high-resolution transport modeling, applied to cyclist flows, mode choice, and targeting investment. International journal of sustainable transportation, 12(10), 714-724. https://doi.org/10.1080/15568318.2018.1432730

Fang, X., Li, X., Yu, T., Guo, Z., & Ma, T. (2019). Grey Markov model prediction method for regular pedestrian movement trend. In Proceedings of 2018 Chinese intelligent systems conference (pp. 575-584). Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_55

Fujino, Y. (2018, July). Bridge maintenance, renovation and management-Research and Development of governmental program in Japan. In Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges: Proceedings of the Ninth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), 9-13 July 2018, Melbourne, Australia (p. 2). CRC Press.

García-Segura, T., Penadés-Plà, V., & Yepes, V. (2018). Sustainable bridge design by metamodel-assisted multi-objective optimisation and decision-making under uncertainty. Journal of Cleaner Production, 202, 904-915. https://doi.org/10.1016/j.jclepro.2018.08.177

Gongora, D. A., Baquero, J. J. D., Franco, J. F., & Mura, I. (2018, December). Simulation to Predict Cyclists’ Exposure to Air Pollution Along Bikeways. In 2018 Winter Simulation Conference (WSC) (pp. 2387-2398). IEEE. https://doi.org/10.1109/WSC.2018.8632358

Gössling, S., Humpe, A., Litman, T., & Metzler, D. (2019). Effects of perceived traffic risks, noise, and exhaust smells on bicyclist behaviour: An economic evaluation. Sustainability, 11(2), 408. https://doi.org/10.3390/su11020408

Hartmann, M., Ferrara, A., & Watzenig, D. (2018, September). Data-based reachability analysis for movement prediction of pedestrians and motion planning. In 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) (pp. 1-7). IEEE. https://doi.org/10.1109/ICVES.2018.8519517

Hartmann, M., Stolz, M., & Watzenig, D. (2018). Movement prediction hypotheses for pedestrians and trajectory planning for cooperative driving systems. SAE International Journal of Connected and Automated Vehicles, 2(12-02-01-0002). https://doi.org/10.4271/12-02-01-0002

Hashemi, H., Mousavi, S. M., Zavadskas, E. K., Chalekaee, A., & Turskis, Z. (2018). A new group decision model based on grey-intuitionistic fuzzy-ELECTRE and VIKOR for contractor assessment problem. Sustainability, 10(5), 1635. https://doi.org/10.3390/su10051635

Jack, D., Pantaleo, N., Smith, C., Yang, Q., Thornburg, J., Kinney, P., & Chillrud, S. (2018, September). Using Spatially Resolved Pollution Data to Plan Bicycle Infrastructure. In ISEE Conference Abstracts (Vol. 2018, No. 1).

Jereb, B., Batkovič, T., Herman, L., Šipek, G., Kovše, Š., Gregorič, A., & Močnik, G. (2018). Exposure to black carbon during bicycle commuting–alternative route selection. Atmosphere, 9(1), 21. https://doi.org/10.3390/atmos9010021

Jia, J., Ibrahim, M., Hadi, M., Orabi, W., Ali, M., & Xiao, Y. (2016, January). Estimation of the total cost of bridge construction for use in accelerated bridge construction selection decisions. In Transportation Research Board 95th Annual Meeting (No. 16-6305, p. 17).

Jin, J. (2018). Riverfront redevelopment in a medium-sized city: taking White River sites in downtown Indianapolis as an example.

Juodagalvienė, B., Turskis, Z., Šaparauskas, J., & Endriukaitytė, A. (2017). Integrated multi-criteria evaluation of house’s plan shape based on the EDAS and SWARA methods. Engineering Structures and Technologies, 9(3), 117-125. https://doi.org/10.3846/2029882X.2017.1347528

Kajosaari, A., Hasanzadeh, K., & Kyttä, M. (2019). Residential dissonance and walking for transport. Journal of transport geography, 74, 134-144. https://doi.org/10.1016/j.jtrangeo.2018.11.012

Keršulienė, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of business economics and management, 11(2), 243-258. https://doi.org/10.3846/jbem.2010.12

Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451. https://doi.org/10.15388/Informatica.2015.57

Koohsari, M. J., Oka, K., Owen, N., & Sugiyama, T. (2019). Natural movement: A space syntax theory linking urban form and function with walking for transport. Health & place, 58, 102072. https://doi.org/10.1016/j.healthplace.2019.01.002

Li, C., Chi, G., & Jackson, R. (2018). Neighbourhood built environment and walking behaviours: Evidence from the rural American South. Indoor and built environment, 27(7), 938-952. https://doi.org/10.1177/1420326x17695858

Luo, J., Boriboonsomsin, K., & Barth, M. (2020). Consideration of exposure to traffic-related air pollution in bicycle route planning. Journal of Transport & Health, 16, 100792. https://doi.org/10.1016/j.jth.2019.100792

Marshall, S., Gil, J., Kropf, K., Tomko, M., & Figueiredo, L. (2018). Street network studies: from networks to models and their representations. Networks and Spatial Economics, 18(3), 735-749. https://doi.org/10.1007/s11067-018-9427-9

Minet, L., Stokes, J., Scott, J., Xu, J., Weichenthal, S., & Hatzopoulou, M. (2018). Should traffic-related air pollution and noise be considered when designing urban bicycle networks? Transportation Research Part D: Transport and Environment, 65, 736-749. https://doi.org/10.1016/j.trd.2018.10.012

Mohtasham-Amiri, Z., Barge_Gol, I., Jafari-Shakib, H., & Abedian, P. (2018). PW 0677 Factors influencing the use of pedestrian bridges. Injury Prevention, 24(Suppl 2), A56. https://doi.org/10.1136/injuryprevention-2018-safety.152

Nowacka-Rejzner, U. (2019, February). River and Riverside Areas-in the Context of Shaping the Urban Space-Case Study. In IOP Conference Series: Materials Science and Engineering (Vol. 471, No. 11, p. 112088). IOP Publishing. https://doi.org/10.1088/1757-899X/471/11/112088

Oliveira, R., Figueiredo, A., Vicente, R., & Almeida, R. M. (2018). Multi-objective optimisation of the energy performance of lightweight constructions combining evolutionary algorithms and life cycle cost. Energies, 11(7), 1863. https://doi.org/10.3390/en11071863

Otero, I., Nieuwenhuijsen, M. J., & Rojas-Rueda, D. (2018). Health impacts of bike sharing systems in Europe. Environment international, 115, 387-394. https://doi.org/10.1016/j.envint.2018.04.014

Pafka, E., Dovey, K., & Aschwanden, G. D. (2018). Limits of space syntax for urban design: Axiality, scale and sinuosity. Environment and Planning B: Urban Analytics and City Science, 2399808318786512. https://doi.org/10.1177/2399808318786512

Parthasarathi, P., & Levinson, D. (2018). Network structure and the journey to work: An intra-metropolitan analysis. Transportation Research Part A: Policy and Practice, 118, 292-304. https://doi.org/10.1016/j.tra.2018.09.008

Particke, F., Hiller, M., Feist, C., & Thielecke, J. (2018, April). Improvements in pedestrian movement prediction by considering multiple intentions in a multi-hypotheses filter. In 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS) (pp. 209-212). IEEE. https://doi.org/10.1109/PLANS.2018.8373383

Pellegrini, L., Ribó, R., Jordan, J., & Sobrino, J. (2017). Sustainable Pedestrian Bridge using Advanced Materials (SUPERBAM).

Qiu, Z., Song, J., Hao, C., Li, X., & Gao, H. O. (2018). Investigating traffic-related PM exposure on and under pedestrian bridges: A case study in Xi’an, China. Atmospheric Pollution Research, 9(5), 877-886. https://doi.org/10.1016/j.apr.2018.02.009

Ridel, D., Rehder, E., Lauer, M., Stiller, C., & Wolf, D. (2018, November). A literature review on the prediction of pedestrian behavior in urban scenarios. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (pp. 3105-3112). IEEE. https://doi.org/10.1109/ITSC.2018.8569415

Ruzgys, A., Volvačiovas, R., Ignatavičius, Č., & Turskis, Z. (2014). Integrated evaluation of external wall insulation in residential buildings using SWARA-TODIM MCDM method. Journal of Civil Engineering and Management, 20(1), 103-110. https://doi.org/10.3846/13923730.2013.843585

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281. https://doi.org/10.1016/0022-2496(77)90033-5

Saaty, T. L. (1990). Multicriteria decision making: the analytic hierarchy process: planning, priority setting resource allocation.

Šaparauskas, J., Zavadskas, E. K., & Turskis, Z. (2011). Selection of facade’s alternatives of commercial and public buildings based on multiple criteria. International Journal of Strategic Property Management, 15(2), 189-203. https://doi.org/10.3846/1648715X.2011.586532

Seltenrich, N. (2018). Another Potential Risk Factor for ALS: Exposure to Traffic-Related Air Pollutants. Environmental health perspectives, 126(2), 024004. https://doi.org/10.1289/EHP2882

Sender, J., & Maslanko, W. (2018). Natural Values of the Urban River Valley and the Possibilities of its Development–Bystrzyca River Valley Study Case (Poland). Transylvanian Review of Systematical and Ecological Research, 20(2), 85-102.

Sharmin, S., & Kamruzzaman, M. (2018). Meta-analysis of the relationships between space syntax measures and pedestrian movement. Transport Reviews, 38(4), 524-550. https://doi.org/10.1080/01441647.2017.1365101

Shekarrizfard, M., Valois, M. F., Weichenthal, S., Goldberg, M. S., Fallah-Shorshani, M., Cavellin, L. D., & Hatzopoulou, M. (2018). Investigating the effects of multiple exposure measures to traffic-related air pollution on the risk of breast and prostate cancer. Journal of Transport & Health, 11, 34-46. https://doi.org/10.1016/j.jth.2018.09.006

Sivilevičius, H., Zavadskas, E. K., & Turskis, Z. (2008). Quality attributes and complex assessment methodology of the asphalt mixing plant. Baltic Journal of Road & Bridge Engineering (Baltic Journal of Road & Bridge Engineering), 3(3). https://doi.org/10.3846/1822-427x.2008.3.161-166

Štreimikienė, D., Šliogerienė, J., & Turskis, Z. (2016). Multi-criteria analysis of electricity generation technologies in Lithuania. Renewable Energy, 85, 148-156. https://doi.org/10.1016/j.renene.2015.06.032

Suzuki, S. (2018). Comparative Analysis of Human Movement Prediction: Space Syntax and Inverse Reinforcement Learning. arXiv preprint arXiv:1801.00464.

Turskis, Z., & Juodagalvienė, B. (2016). A novel hybrid multi-criteria decision-making model to assess a stairs shape for dwelling houses. Journal of Civil Engineering and Management, 22(8), 1078-1087. https://doi.org/10.3846/13923730.2016.1259179

Turskis, Z., Dzitac, S., Stankiuvienė, A., & Šukys, R. (2019). A Fuzzy Group Decision-making Model for Determining the Most Influential Persons in the Sustainable Prevention of Accidents in the Construction SMEs. International Journal of Computers, Communications & Control, 14(1). https://doi.org/10.15837/ijccc.2019.1.3364

Vert, C., Nieuwenhuijsen, M., Gascon, M., Grellier, J., Fleming, L. E., White, M. P., & Rojas-Rueda, D. (2019). Health benefits of physical activity related to an urban Riverside regeneration. International journal of environmental research and public health, 16(3), 462. https://doi.org/10.3390/ijerph16030462

Wu, J., Ruenz, J., & Althoff, M. (2018, June). Probabilistic map-based pedestrian motion prediction taking traffic participants into consideration. In 2018 IEEE Intelligent Vehicles Symposium (IV) (pp. 1285-1292). IEEE. https://doi.org/10.1109/IVS.2018.8500562

Xie, H. B., Wu, W. J., & Wang, Y. F. (2018). Life-time reliability based optimisation of bridge maintenance strategy considering LCA and LCC. Journal of cleaner production, 176, 36-45. https://doi.org/10.1016/j.jclepro.2017.12.123

Zalakeviciute, R., Buenaño, A., Sannino, D., & Rybarczyk, Y. (2018). Urban air pollution mapping and traffic intensity: active transport application. In Air Pollution-Monitoring, Quantification and Removal of Gases and Particles. IntechOpen. https://doi.org/10.5772/intechopen.79570

Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172. https://doi.org/10.3846/tede.2010.10

Zavadskas, E. K, Antucheviciene, J., Adeli, H., & Turskis, Z. (2016). Hybrid multiple criteria decision making methods: A review of applications in engineering. Scientia Iranica, 23(1), 1-20. https://doi.org/10.24200/sci.2016.2093

Zavadskas, E. K., Govindan, K., Antucheviciene, J., & Turskis, Z. (2016). Hybrid multiple criteria decision-making methods: A review of applications for sustainability issues. Economic research-Ekonomska istraživanja, 29(1), 857-887. https://doi.org/10.1080/1331677X.2016.1237302

Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Kalibatas, D. (2009). An approach to multi‐attribute assessment of indoor environment before and after refurbishment of dwellings. Journal of Environmental Engineering and Landscape Management, 17(1), 5-11. https://doi.org/10.3846/1648-6897.2009.17.5-11

Zavadskas, E. K., Liias, R., & Turskis, Z. (2008). Multi-attribute decision-making methods for assessment of quality in bridges and road construction: state-of-the-art surveys. The baltic journal of road and bridge engineering, 3(3), 152-160. https://doi.org/10.3846/1822-427X.2008.3.152-160

Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision-making problems—An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(03), 645-682. https://doi.org/10.1142/S0219622016300019

Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2015). Selecting a contractor by using a novel method for multiple attribute analysis: Weighted Aggregated Sum Product Assessment with grey values (WASPAS-G). Studies in Informatics and Control, 24(2), 141-150. https://doi.org/10.24846/v24i2y201502

Zavadskas, E. K., Turskis, Z., & Bagočius, V. (2015). Multi-criteria selection of a deep-water port in the Eastern Baltic Sea. Applied Soft Computing, 26, 180-192. https://doi.org/10.1016/j.asoc.2014.09.019

Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165-179. https://doi.org/10.3846/20294913.2014.892037

Zavadskas, K. E., Antucheviciene, J., Adeli, H., & Turskis, Z. (2016). Hybrid multiple criteria decision making methods: A review of applications in engineering. Scientia Iranica, 23(1), 1-20. https:// doi.org/10.24200/sci.2016.2093

Zolfani, S. H., Zavadskas, E. K., & Turskis, Z. (2013). Design of products with both International and Local perspectives based on Yin-Yang balance theory and SWARA method. Economic research-Ekonomska istraživanja, 26(2), 153-166. https://doi.org/10.1080/1331677X.2013.11517613

DOI: 10.7250/bjrbe.2020-15.478


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