@article{Boisvert:232735,
      recid = {232735},
      author = {Boisvert, Marie-Francis},
      title = {Using Mobile Application Data, Population Size,  Accessibility, and Value Judgements in Public Transit  Improvements},
      journal = {SS-AAEA Journal of Agricultural Economics},
      address = {2014},
      number = {318-2016-9526},
      pages = {12},
      year = {2014},
      abstract = {In order to maintain transit systems, information about  them is needed. This article provides information regarding  the absence of correlation between transit use, population  density, and accessibility. To this end, mobile application  data is used. The data is from an application called  Transit App that enables easy navigation within transit  systems.
In North America, the transportation mode share of  the automobile is very high. One consequence of the North  American population’s high automobile dependency is high  auto travel demand on roads. Concurrently, the ability to  build additional infrastructure is limited and, in some  cases, impossible. As a result, traffic congestion levels  have increased significantly, particularly in the past  decade. (Schrank, Eisele, and Lomax 2012). Traffic  congestion negatively affects transportation efficiency and  also creates negative environmental externalities. As Vukan  Vuchic stated in Transportation for Livable Cities:  “Unrestricted individual behaviour collides with socially  optimal behavior” (1999). One solution to the problem of  traffic congestion is to increase the mode share of public  transportation. But what can induce urban North American  populations to trade their automobiles in favor of public  transit? What are the qualities a public transit system  must have for a significant proportion of the population to  frequent it?
One of the ways to approach this question is  to investigate where people do and do not use it. In this  article, public transit in all 19 boroughs of Montreal is  considered. Population density is compared to transit use  to determine whether transit use is homogenous in all  Montreal boroughs. The results are then discussed within  the context of other public transit research. The results  will hopefully disambiguate some of the factors that  influence public transit use in Montreal. This knowledge  may facilitate the creation of coherent goals and purposes  for public transit in general and the Société de Transport  de Montréal in particular.},
      url = {http://ageconsearch.umn.edu/record/232735},
      doi = {https://doi.org/10.22004/ag.econ.232735},
}