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T-communities and Sense of Community in a University Town: Evidence from a Student Sample using a Spatial Ordered-response Model

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  • Kate E. Whalen
  • Antonio Páez
  • Chandra Bhat
  • Md Moniruzzaman
  • Rajesh Paleti

Abstract

An emerging interest in transport research concerns the factors that can help to create strong, sustainable and ‘livable’ communities; however, relatively limited empirical work has been conducted to date. In this paper the perception of sense of community among neighbourhood residents is investigated. Drawing from research on tertiary street-communities ( t -communities), the paper explores the effect of the urban landscape, particularly street networks, and neighbourhood and individual characteristics on sense of community. A sample of students at McMaster University in Hamilton, Canada, is used for the analysis. In addition to providing an opportunity to study sense of community, a student sample is interesting in its own right, as students are often a component of essential but at times uneasy relations between universities and towns. Analysis is based on the application of an ordered probit model with a spatial lag. The results provide evidence that t -community membership can influence sense of community.

Suggested Citation

  • Kate E. Whalen & Antonio Páez & Chandra Bhat & Md Moniruzzaman & Rajesh Paleti, 2012. "T-communities and Sense of Community in a University Town: Evidence from a Student Sample using a Spatial Ordered-response Model," Urban Studies, Urban Studies Journal Limited, vol. 49(6), pages 1357-1376, May.
    • Handle: RePEc:sae:urbstu:v:49:y:2012:i:6:p:1357-1376
    DOI: 10.1177/0042098011411942
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    References listed on IDEAS

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    1. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    2. Páez, Antonio & Whalen, Kate, 2010. "Enjoyment of commute: A comparison of different transportation modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 537-549, August.
    3. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
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    5. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
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    Cited by:

    1. Clark, Andrew F. & Scott, Darren M., 2013. "Does the social environment influence active travel? An investigation of walking in Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 31(C), pages 278-285.
    2. Páez, Antonio, 2013. "Mapping travelers’ attitudes: does space matter?," Journal of Transport Geography, Elsevier, vol. 26(C), pages 117-125.
    3. Martín, Belén & Páez, Antonio, 2019. "Individual and geographic variations in the propensity to travel by active modes in Vitoria-Gasteiz, Spain," Journal of Transport Geography, Elsevier, vol. 76(C), pages 103-113.
    4. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    5. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    6. Yongxin Deng, 2016. "Challenges and complications in neighborhood mapping: from neighborhood concept to operationalization," Journal of Geographical Systems, Springer, vol. 18(3), pages 229-248, July.

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