The Influence of the Place of Residence on the Behavior and Transport Preferences of the Inhabitants of the Agglomeration

• Autorzy: Krzysztof Grzelec , Romanika Okraszewska
• Języki publikacji: EN

Abstrakty

EN

Transport behaviors and preferences have an impact on modal split, which is why they should form the basis for shaping the public transport offer. Achieving the goals of sustainable mobility requires taking into account differences in transport behavior and preferences characterizing residents from different areas of the agglomeration. Analyzing differences in behaviors and preferences, the possibilities and limitations resulting from the mass character of public transport services and the fact that the main determinant of the offer is the space determined by displacements in the source-target relation should be taken into account. This article identifies differences in transport behavior and preferences of residents based on the center and suburbs of the Gdańsk agglomeration. At the same time, a preliminary attempt was made to explain the causes of specific differences in residents' behavior and transport preferences, taking into account the limited volume of publication. The share of public transport in the implementation of travel decreases with the distance of the area of ​​residence from the center of the agglomeration. The increase in the share of rail transport in travel affects the increase in the importance of waiting time and the lack of change as a decisive factor in the selection of cars in trips. Transport preferences are strongly diversified in individual areas. Differences are noticeable even in the center areas constituting separate administrative units. (original abstract)

Słowa kluczowe

EN

Preferences; Public transport; City transport; Customer behaviour; Urban agglomerations

PL

Preferencje; Transport publiczny; Transport miejski; Zachowania klientów; Aglomeracje miejskie

• Czasopismo: Research Journal of the University of Gdańsk. Transport Economics and Logistics
• Rocznik: 2019
• Tom: 83 Transport Economics and Transportation Services Market
• Strony: 163--178

Twórcy

autor

Krzysztof Grzelec

• University of Gdansk, Poland

autor

Romanika Okraszewska

• Gdansk University of Technology, Poland

Bibliografia

• Aguilera, A., Grebert, J. (2014), Passenger transport mode share in cities: exploration of actual and future trends with a worldwide survey, International Journal of Automotive Technology and Management, doi: 10.1504/ijatm.2014.065290.
• Banister, D. (2008), The sustainable mobility paradigm', Transport Policy, doi: 10.1016/j.tranpol.2007.10.005.
• Bank Danych Lokalnych (2018) GUS, https://bdl.stat.gov.pl/BDL/dane/podgrup/temat [Accessed 10 January 2019].
• Beirao, G., Sarsfield Cabral, J.A. (2007), Understanding attitudes towards public transport and private car: A qualitative study, Transport Policy, doi: 10.1016/j.tranpol.2007.04.009.
• Bjorklund, G., Swardh, J.E. (2017), Estimating policy values for in-vehicle comfort and crowding reduction in local public transport, Transportation Research Part A: Policy and Practice, doi: 10.1016/j.tra.2017.10.016.
• Dell'Olio, L., Ibeas, A., Cecin, P. (2011), The quality of service desired by public transport users, Transport Policy, doi: 10.1016/j.tranpol.2010.08.005.
• Eakins, J. (2015), Household car ownership in Ireland across time: An analysis of the effects of expansion and contraction in the Irish economy, International Journal of Transport Economics, doi: 10.1400/236144.
• Grzelec, K., Miloch, M. (2017), Modelowanie podróży z przesiadkami w transporcie miejskim, Transport Miejski i Regionalny, 1.
• Hildebrand, C., Hortin, S. (2014), A comparative study between Emme and Visum with respect to public transport assignment, Department of Science and Technology Linkoping University, http://www.diva-portal.se/smash/get/diva2:772068/FULLTEXT01.pdf [Accessed 14 March 2019].
• Jung, J., Koo, Y. (2018), Analyzing the effects of car sharing services on the reduction of green- house gas (GHG) emissions, Sustainability (Switzerland), doi: 10.3390/su10020539.
• Kompleksowe badania ruchu we Wrocławiu i otoczeniu (2018), Wrocław, http://bip.um.wroc.pl/artykul/565/37499/kompleksowe-badania-ruchu-we-wroclawiu-i-otoczeniu-kbr-2018 [Accessed 4 May 2019].
• Krizek, K., El-Geneidy, A. (2007), Segmenting Preferences and Habits of Transit Users and Non-Users, Journal of Public Transportation, doi: 10.5038/2375-0901.10.3.5.
• Kujala, R. et al. (2018), Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys, Computers, Environment and Urban Systems, doi: 10.1016/j.compenvurbsys.2017.08.012.
• Litman, T., Burwell, D. (2006), Issues in sustainable transportation, International Journal of Global Environmental Issues, doi: 10.1504/IJGENVI.2006.010889.
• Madhuwanthi, R.A.M. et al. (2016), Factors Influencing to Travel Behavior on Transport Mode Choice - A Case of Colombo Metropolitan Area in Sri Lanka, International Journal of Affective Engineering, doi: 10.5057/ijae.IJAE-D-15-00044.
• Meng, M., Rau, A., Mahardhika, H. (2018), Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage, Transportation Research Part A: Policy and Practice, doi: 10.1016/j.tra.2018.01.015.
• Nolan, A. (2010), A dynamic analysis of household car ownership', Transportation Research Part A: Policy and Practice, doi: 10.1016/j.tra.2010.03.018.
• Nurdden, A., Rahmat, R.A.O K., Ismail, A. (2007), Effect of transportation policies on modal shift from private car to public transport in Malaysia, Journal of Applied Sciences, doi: 10.3923/jas.2007.1013.1018.
• Okraszewska, R. et al. (2019), Analysing ways to achieve a new Urban Agenda-based sustain able metropolitan transport, Sustainability (Switzerland), 11(3), doi: 10.3390/su11030813.
• Olsson, A.-L.L. (2003), Factors That Influence Choice of Travel Mode in Major Urban Areas. the Attractiveness of Park & Ride, Trita-Infra.
• Papagiannakis, A., Baraklianos, I., Spyridonidou, A. (2018), Urban travel behaviour and household income in times of economic crisis: Challenges and perspectives for sustainable mobility, Transport Policy, doi: 10.1016/j.tranpol.2016.12.006.
• Parr, J.B. (2004), The polycentric urban region: A closer inspection, Regional Studies, doi: 10.1080/003434042000211114.
• Paulley, N. et al. (2006), The demand for public transport: The effects of fares, quality of service, income and car ownership, Transport Policy, doi: 10.1016/j.tranpol.2005.12.004.
• Pawlasova, P. (2015), The Factors Influencing Satisfaction with Public City Transport: A Structural Equation Modelling Approach, Journal of Competitiveness, doi: 10.7441/joc.2015.04.02.
• Preferencje i zachowania komunikacyjne mieszkańców Gdyni Raport z badań marketingowych 2015 (2016), Gdynia, http://www.zkmgdynia.pl/admin/__pliki__/A4_ zkmgdynia-PZKMG-raport 2015.pdf [Accessed 4 October 2018].
• Preferencje i zachowania komunikacyjne mieszkańców Sopotu w 2018 r. (2018), Sopot. Preferencje i zachowania komunikacyjne mieszkańców Żukowa (2018), Gdańsk.
• Rahman, A., van Grol, R. (2005) SUMMA final publishable report, http://www.summa-eu.org/ control/reports/SUMMA-D8.pdf. [Accessed 10 March 2019].
• Redman, L. et al. (2013), Quality attributes of public transport that attract car users: A research review, Transport Policy, doi: 10.1016/j.tranpol.2012.11.005.
• Rydzkowski, W., Wojewódzka-Król, K. (1997) Transport, Wydawnictwo Naukowe PWN, Warszawa.
• Salonen, M., Toivonen, T. (2013), Modelling travel time in urban networks: Comparable measures for private car and public transport, Journal of Transport Geography, doi: 10.1016/j.jtrangeo.2013.06.011.
• Shiftan, Y., Outwater, M.L., Zhou, Y. (2008), Transit market research using structural equation modeling and attitudinal market segmentation, Transport Policy, doi: 10.1016/j.tranpol.2008.03.002.
• Tyrinopoulos, Y., Antoniou, C. (2008), Public transit user satisfaction: Variability and policy implications, Transport Policy, doi: 10.1016/j.tranpol.2008.06.002.
• Wang, L. et al. (2013), Private Car Switched to Public Transit by Commuters, in Shanghai, China, Procedia - Social and Behavioral Sciences, doi: 10.1016/j.sbspro.2013.08.147.

Identyfikatory

DOI

10.26881/etil.2019.83.13