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Thursday, January 7, 2021

The Relation Between Residential Self-Selection and Urban Mobility in Middle Eastern Cities: the Case of Alexandria, Egypt

The present paper attempts to fill a part of the gap in the studies on residential location choices and their relations to urban mobility, socio-economics, and the built environment by presenting the results of a study on Alexandria, Egypt, by analysing the results of a survey in eight neighbourhoods undertaken in 2015. Four questions were answered in this study: (i) “How are the main drivers behind residential location choices in Alexandria connected to various socio-demographic groups or people with different availability to urban and built environments?”, (ii) “How are the main residential self-selections in Alexandria associated with one another and which are the most important?”, (iii) “How are the housing location-related decisions of Egyptians similar to or different from international decisions?”, and (iv) “How can planners and decision-makers use the knowledge produced by this study for urban planning and housing in Egypt?”. Library work and the results of a Χ2 test of independence show that availability of transportation modes, nice neighbourhoods, and affordability are the strongest motives behind decisions. However, socio-economic factors are generally stronger than urban mobility and spatial issues. These findings are partly different from those of high-income countries.

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Alessandria d'Egitto / Alexandria


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Polycentricity in a developing world: A micro-regional analysis for morphological polycentricity in Turkey

Saturday, January 2, 2021

Logistic models explaining the determinants of biking for commute and non-commute trips in Lahore, Pakistan

  • By Houshmand Masoumi, 
  • Muhammad Asim, 
  • Izza Anwer, and 
  • Sheikh Atif Bilal Aslam

  • The determinants of biking behavior are less studied in a wide range of developing countries including South Asia. This study takes Lahore, Pakistan as a case-study city to explore the factors defining commute and non-commute bike trips as well as commuting by bike. These issues were analyzed by collecting data from 379 subjects accommodating in three socio-economic statuses (lower, medium, and higher) in Lahore in spring 2018. The data were analyzed by applying multinomial logistic regression for investigating biking frequency and binomial logistic regression for examining commuting by bike. The results show that gender, age, education, income, purpose of the majority of trips, preferred distance to travel using cycle, preferred time to travel using cycle, and preferred bike trip purpose are significantly correlated with biking frequency. The significant determinants of bicycle commuting included categories of education, the purpose of the majority of trips, using bike in combination with other modes, preferred distance to bike, preferred biking time, and preferred bike trip purpose are associated with bicycle commuting. Commuting by bike is a more popular in socio-economically weaker neighborhoods. The discussion of this study shows that the determinants of biking in the sample in Lahore are different from those that have already been addressed by studies undertaken in high-income countries.



    displaced doors

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