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Bicycle Share Systems: A Predictor o...

Rimolo, Silvia.

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Bicycle Share Systems: A Predictor of Crime?

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bicycle Share Systems: A Predictor of Crime?/
Author:	Rimolo, Silvia.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	69 p.
Notes:	Source: Masters Abstracts International, Volume: 84-10.
Contained By:	Masters Abstracts International84-10.
Subject:	Sustainability. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30422939
ISBN:	9798379428815

Bicycle Share Systems: A Predictor of Crime?
Rimolo, Silvia.

Bicycle Share Systems: A Predictor of Crime? - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 69 p.

Source: Masters Abstracts International, Volume: 84-10.

Thesis (A.L.M.)--Harvard University, 2023.

This item must not be sold to any third party vendors.

This research examined the correlation between selected common street crimes and potential increases in human activity caused by bikesharing ridership in Boston and Cambridge, MA. Given the increasing domestic and global popularity of such systems, evidenced by their growing global trends of implementation, it is worth exploring their potential effects on other aspects of urban quality of life, such as rates of crime, and to explore using these data to improve such systems' effectiveness and sustainability. This study focused on two specific research questions: 1) Does an increase in the ridership of a Bicycle Share System (BSS) reduce incidents of assaults, robberies, and larcenies in cities? 2) To what degree does ridership correlate with assaults, robberies, and larceny incidents when compared to correlations with other urban demographic factors?I hypothesized that Boston and Cambridge neighborhoods with a higher ridership of BSS have lower incidents of robbery, assault, and larceny, and that ridership correlations with robbery, assault, and larceny incidents are on par with, or stronger than, correlations to other demographic factors. Using various statistical and software applications, I analyzed BSS ridership against several relevant crime variables, and included other demographic, economic and geographic factors that the FBI considers as recurring factors associated with variation in crime rates. The results showed a positive correlation between BSS ridership and nearby crimes, indicating that when ridership increased, nearby instances of selected crimes increased as well. The existence of such a correlation is not an indication of causation; instead, it reflects the fact that there are other relevant demographic variables shared that may be causing both studied variables to increase, although the effect of such variables varied across crime and location. For example, the presence of retail and other businesses was statistically significant, while other factors such as median home value and education level had varying effects across crime types and locations. These results ultimately reflect the multifaceted and complicated nature of crime; therefore, the intersection of BSS activity with municipal criminal trends is one that merits further study given its potential for improving urban built environments to deter crime.

ISBN: 9798379428815Subjects--Topical Terms:

1029978
Sustainability.
Subjects--Index Terms:

Bicycle share system

Bicycle Share Systems: A Predictor of Crime?
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245 1 0 $a Bicycle Share Systems: A Predictor of Crime?
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300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 84-10.
500 $a Advisor: Leighton, Mark;Plosky, Eric.
502 $a Thesis (A.L.M.)--Harvard University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a This research examined the correlation between selected common street crimes and potential increases in human activity caused by bikesharing ridership in Boston and Cambridge, MA. Given the increasing domestic and global popularity of such systems, evidenced by their growing global trends of implementation, it is worth exploring their potential effects on other aspects of urban quality of life, such as rates of crime, and to explore using these data to improve such systems' effectiveness and sustainability. This study focused on two specific research questions: 1) Does an increase in the ridership of a Bicycle Share System (BSS) reduce incidents of assaults, robberies, and larcenies in cities? 2) To what degree does ridership correlate with assaults, robberies, and larceny incidents when compared to correlations with other urban demographic factors?I hypothesized that Boston and Cambridge neighborhoods with a higher ridership of BSS have lower incidents of robbery, assault, and larceny, and that ridership correlations with robbery, assault, and larceny incidents are on par with, or stronger than, correlations to other demographic factors. Using various statistical and software applications, I analyzed BSS ridership against several relevant crime variables, and included other demographic, economic and geographic factors that the FBI considers as recurring factors associated with variation in crime rates. The results showed a positive correlation between BSS ridership and nearby crimes, indicating that when ridership increased, nearby instances of selected crimes increased as well. The existence of such a correlation is not an indication of causation; instead, it reflects the fact that there are other relevant demographic variables shared that may be causing both studied variables to increase, although the effect of such variables varied across crime and location. For example, the presence of retail and other businesses was statistically significant, while other factors such as median home value and education level had varying effects across crime types and locations. These results ultimately reflect the multifaceted and complicated nature of crime; therefore, the intersection of BSS activity with municipal criminal trends is one that merits further study given its potential for improving urban built environments to deter crime.
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650 4 $a Public health. $3 534748
650 4 $a American studies. $3 2122720
653 $a Bicycle share system
653 $a Crime
653 $a Robbery
653 $a Ridership
653 $a Urban demographic factors
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