An investigation into the influence of land-use, social networks and information and communication technologies on destination choice for social activities





Destination choice, social travel, multinomial logit model, Information and Communication Technologies, social networks


Information and Communication Technologies (ICT) enable individuals to travel more flexibly. The choice of location for social activities has become very flexible. In addition to this, land-use characteristics also play a vital role in the location of social activities. This work aims to analyse the influence of land-use characteristics, ICT use, and social networks in the destination choices for face-to-face social activities of university students during both weekdays and weekends. Students from the two different campuses of the Instituto Superior Técnico were presented with an online questionnaire, which was intended to collect information about their use of ICT and social networks, in addition to their travel characteristics and socio-demographics. Emphasis was made upon capturing the characteristics of social networks and ICT usage. Information on land-use characteristics was obtained from secondary sources. Factor analysis was initially carried out to extract factors related to the use of ICT and social networks; these were later used to model the destination choice for social activities. The alternatives considered for destination choice included: home or the vicinity thereof, university or the vicinity thereof, other locations (further away from home and university), and evenly spread locations – having no specific priority for any of the other three locations considered. The analysis was performed separately for travel during weekdays and weekends so that an understanding of the differences and similarities in behaviour during these different time periods could be garnered. A multinomial logit model was estimated to model this choice. The results point to the relevance of land-use characteristics, the location of close friends, and modes of interaction. Individuals residing in more accessible central, and denser areas, were more likely to have activities distributed evenly across the city. These results stress the relevance of accessibility in allowing larger and more diverse spaces to be used for social activities.

How to Cite

Baburajan, V., & de Abreu e Silva, J. . (2019). An investigation into the influence of land-use, social networks and information and communication technologies on destination choice for social activities. Transactions of the Association of European Schools of Planning, 3(2), 112–125.




de Abreu e Silva, João, Juan de Oña and Slaven Gasparovic (2017) The relation between travel behaviour, ICT usage and social networks. The design of a web based survey. Transportation Research Procedia, 24, pp.515-22.

Adler, Thomas J. and Moshe E. Ben-Akiva (1976) Joint-choice model for frequency, destination and travel mode for shopping trips. Transportation Research Record, 569, pp.136-50.

Aguiléra, Anne, Caroline Guillot and Alain Rallet (2012) Mobile ICTs and physical mobility: Review and research agenda. Transportation Research Part A: Policy and Practice, 46 (4), pp.664-72.

Arentze, Theo and Harry J. P. Timmermans (2008) Social networks, social interactions, and activity-travel behavior: A framework for microsimulation. Environment and Planning B: Planning and Design, 35 (6), pp.1012-27.

Auld, Joshua and Abolfazl Mohammadian (2011) Planning-constrained destination choice in activity-based model. Transportation Research Record: Journal of the Transportation Research Board, 2254, pp.170-79.

Axhausen, Kay W. (2007) Activity spaces, biographies, social networks and their welfare gains and externalities: Some hypotheses and empirical results. Mobilities, 2 (1), pp.15-36.

Ben-Akiva, Moshe E. and Steven R. Lerman (1985) Discrete choice analysis : Theory and application to travel demand. MIT Press.

Ben-Elia, Eran, Bayarma Alexander, Christa Hubers and Dick Ettema (2014) Activity fragmentation, ICT and travel: An exploratory path analysis of spatiotemporal interrelationships. Transportation Research Part A: Policy and Practice, 68, pp.56-74.

van den Berg, Pauline, Theo Arentze and Harry J. P. Timmermans (2012) A multilevel path analysis of contact frequency between social network members. Journal of Geographical Systems, 14 (2), pp.125-41.

van den Berg, Pauline, Theo Arentze and Harry J. P. Timmermans (2013) A path analysis of social networks, telecommunication and social activity-travel patterns. Transportation Research Part C: Emerging Technologies, 26, pp.256-68.

van den Berg, Pauline, Astrid Kemperman and Harry J. P. Timmermans (2014) Social interaction location choice: A latent class modeling approach. Annals of the Association of American Geographers, 104 (5), pp.959-72.

van den Berg, Pauline and Harry J. P. Timmermans (2014) A multilevel analysis of factors influencing social interaction with neighbors. 93rd Annual Meeting of the Transportation Research Board (May), pp.1-18.

van den Berg, Pauline, Minou Weijs-Perrée and Theo Arentze (2016) Dynamics in social activity-travel patterns: Analyzing the role of life-cycle events and path dependence in face-to-face and ICT-mediated social interactions. Research in Transportation Economics, pp.1-9.

Bowman, John L. and Moshe E. Ben-Akiva (2000) Activity-based disaggregate travel demand model system with activity schedules. Transportation Research Part A: Policy and Practice, 35 (1), pp.1-28.

Bradley, Mark A., John L. Bowman and Bruce Griesenbeck (2010) SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution. Journal of Choice Modelling, 3 (1), pp.5-31.

Carrasco, Juan Antonio and Eric J. Miller (2006) Exploring the propensity to perform social activities: A social network approach. Transportation, 33 (5), pp.463-80.

Carrasco, Juan Antonio, Eric J. Miller and Barry Wellman (2008) How far and with whom do people socialize? Empirical evidence about distance between social network members. Transportation Research Record: Journal of the Transportation Research Board, 2076, pp.114-22.

Cheung, Christy M. K., Pui-Yee Chiu and Matthew K. O. Lee (2011) Online social networks: Why do students use facebook? Computers in Human Behavior, 27 (4), pp.1337-43.

Dal Fiore, Filippo, Patricia L. Mokhtarian, Ilan Salomon and Matan E. Singer (2014) ‘Nomads at last’? A set of perspectives on how mobile technology may affect travel. Journal of Transport Geography, 41, pp.97-106.

Dijst, Martin (2009) ICT and social networks: Towards a situational perspective on the interaction between corporeal and connected presence. In Kitamura, Ryuichi, Toshio Yoshii and Toshiyuki Yamamoto (eds) The expanding sphere of travel behaviour research. Bingley: Emerald Group Publishing Limited, pp.45-75.

Doreian, Patrick and Norman Conti (2012) Social context, spatial structure and social network structure. Social Networks, 34 (1), pp.32-46.

Eluru, Naveen, Abdul Pinjari, Ram M. Pendyala and Chandra R. Bhat (2010) An econometric multi-dimensional choice model of activity-travel behavior. Transportation Letters, 2 (4), pp.217-30.

Farber, Steven, Tijs Neutens, Juan Antonio Carrasco and Carolina Rojas (2014) Social interaction potential and the spatial distribution of face-to-face social interactions. Environment and Planning B: Planning and Design, 41 (6), pp.960-76.

Forrest, James (1974) Spatial aspects of urban social travel. Urban Studies, 11 (3), pp.301-13.

Greenbaum, Susan D. and Paul E. Greenbaum (1985) The ecology of social networks in four urban neighborhoods. Social Networks, 7 (1), pp.47-76.

Hammadou, Hakim, Isabelle Thomas, Ann Verhetsel and Frank Witlox (2008) How to incorporate the spatial dimension in destination choice models: The case of Antwerp. Transportation Planning and Technology, 31 (2), pp.153-81.

Handy, Susan L. (1996) Understanding the link between urban form and nonwork travel behavior. Journal of Planning Education and Research, 15, pp.183-98.

Hanson, Susan (1982) The determinants of daily travel-activity patterns: Relative location and sociodemographic factors. Urban Geography, 3 (3), pp.179-202.

Holland, Caroline, Andrew Clark, Jeanne Katz and Sheila Peace (2007) Social interactions in urban public places. Bristol: Policy Press.

Huckfeldt, Robert R. (1983) Social contexts, social networks, and urban neighborhoods: Environmental constraints on friendship choice. American Journal of Sociology, 89 (3), pp.651-69.

Kaiser, Henry F. (1958) The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23 (3), pp.187-200.

Khattak, Asad, Xin Wang, Sanghoon Son and Paul Agnello (2011) Travel by university students in Virginia. Transportation Research Record: Journal of the Transportation Research Board, 2255 (1), pp.137-45.

Kim, Jinhee, Soora Rasouli and Harry J. P. Timmermans (2017) Social networks, social influence and activity-travel behaviour: A review of models and empirical evidence. Transport Reviews, 1647, pp.1-25.

Kitamura, Ryuichi, Cynthia Chen and Ravi Narayanan (1998) Traveler destination choice behavior effects of time of day, activity duration, and home location. Transportation Research Record: Journal of the Transportation Research Board, 1645, pp.76-81.

Koppelman, Frank S. and Chandra R. Bhat (2006) A self instructing course in mode choice modeling : Multinomial and nested logit models by with technical support from table of contents. Elements, 28 (3), pp.501-12.

Koppelman, Frank S. and John R. Hauser (1978) Destination choice behavior for non-grocery-shopping trips. Transportation Research Record, 673, pp.157-65.

Krellenberg, Kerstin, Juliane Welz and Sonia Reyes-Päcke (2014) Urban green areas and their potential for social interaction - A case study of a socio-economically mixed neighbourhood in Santiago de Chile. Habitat International, 44, pp.11-21.

Larsen, Jonas, Kay W. Axhausen and John Urry (2006) Geographies of social networks: meetings, travel and communications. Mobilities, 1 (2), pp.261-83.

Lee-Gosselin, Martin and Luis F. Miranda-Moreno (2009) What is different about urban activities of those with access to ICTs? Some early evidence from Québec, Canada.” Journal of Transport Geography, 17 (2), pp.104-14.

Limanond, Thirayoot, Tanissara Butsingkorn and Chutima Chermkhunthod (2011) Travel behavior of university students who live on campus: A case study of a rural university in Asia. Transport Policy, 18 (1), pp.163-71.

Mok, Diana and Barry Wellman (2007) Did distance matter before the internet? Interpersonal contact and support in the 1970s. Social Networks, 29 (3), pp.430-61.

Mokhtarian, Patricia L. and Ilan Salomon (2002) Emerging travel patterns: Do telecommunications make a difference? In Mahmassani, Hani S. (ed) Perpetual motion: Travel behaviour research opportunities and application challenges. Oxford: Elsevier, pp.143-82.

Pozsgay, Michael A. and Chandra R. Bhat (2001) Destination choice modeling for home-based recreational trips: Analysis and implications for land use, transportation, and air quality planning. Transportation Research Record: Journal of the Transportation Research Board, 1777 (1), pp.47-54.

Salomon, Ilan (2000) Can telecommunications help solve transportation problems? In Hensher, David A. and Kenneth J. Button (eds) Handbook of transport modelling. Oxford: Elsevier, pp.449-62.

Sharmeen, Fariya (2015) Dynamics of social networks and activity travel behaviour. Eindhoven: Technische Universiteit Eindhoven.

Stutz, Frederick P. (1973a) Distance and network effects on urban social travel fields. Economic Geography, 49 (2), pp.134-44.

Stutz, Frederick P. (1973b) Intra-urban social visiting and leisure behavior. Journal of Leisure Research, 5 (1), pp.6-15.

Thil, Jean-Claude and Joel L. Horowitz (1997) Modelling non-work destination choices with choice sets defined by travel-time constraints. In Fischer, Manfred M. and Arthur Getis (eds) Recent developments in spatial analysis: Spatial statistics, behavioural modelling and computational intelligence. Berlin: Springer, pp.186-208.

Tilahun, Nebiyou and David M. Levinson (2009) Social networks and ICT in location choice. Report no. CTS 09-19, University of Minnesota.

Townsend, Anthony M. (2000) Life in the real-time city: Mobile telephones and urban metabolism. Journal of Urban Technology, 7 (2), pp.85-104.

Völker, Beate, Henk Flap and Siegwart Lindenberg (2007) When are neighbourhoods communities? Community in Dutch neighbourhoods. European Sociological Review, 23 (1), pp.99-114.

Volosin, Sarah Elia (2014) A study of university student travel behavior. Doctoral thesis, Arizona State University.

Wellman, Barry, Anabel Quan Haase, James Witte and Keith N. Hampton (2001) Does the internet increase, decrease, or supplement social capital? American Behavioral Scientist, 45 (3), pp.436-55.

Whalen, Kate E., Antonio Páez and Juan Antonio Carrasco (2013) Mode choice of university students commuting to school and the role of active travel. Journal of Transport Geography, 31, pp.132-42.

Wheeler, James O. and Frederick P. Stutz (1971) Spatial dimensions of urban social travel. Annals of the Association of American Geographers, 61 (2), pp.371-86.

Yuan, Yihong, Martin Raubal and Yu Liu (2012) Correlating mobile phone usage and travel behavior - A case study of Harbin, China. Computers, Environment and Urban Systems, 36 (2), pp.118-30.

Zhou, Jiangping (2012) Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students. Transportation Research Part A: Policy and Practice, 46 (7), pp.1013-29.