30 Matching Annotations
  1. Mar 2026
    1. bus transit reflects robbery patterns, as robberiesoccur in the surrounding areas of bus stop

      direct relation between robberies and bus stops

    2. This research used exploratory spatial data analysisand logistic regression to compare and contrast streetand off-street robberies in terms of how their relation-ships with bus transit vary in space and time withrespect to the presence of bus routes, the proximity tobus stops, and the service hours of bus transit

      what kind of data analysis they used in their research

    3. Pearlstein and Wachs (1982) discov-ered that serious incidents on buses mostly occur inareas with high crime rates, such as downtown LosAngeles

      it depends on the area

    4. one of thefindings is that bus transit reflects the crime pattern inits surrounding areas such that the distribution ofcrime on bus transit is similar to the distribution ofcrime outside bus transit

      crime pattern on bus transit and its surrounding area

    1. The public often resists public transit expansion because of fears that it will generate additionalcrime in neighborhoods

      fear of crime stop public transport expansion

    2. our study finds that the creation and expansion of MetroRail in Los Angeles had no impact on crime

      expansion of transit had no impact on crime

    3. The quasi-experimental researchJ Quant Criminol (2017) 33:277–291 279123provides limited evidence to support the idea that transit causes crime

      no evidence between crime and transit

    4. In this paper we improve on the prior literature in four ways. First, we examine theeffect of the entire expansion of the Metro Rail transit system in Los Angeles, the secondlargest city in the United States. We are, therefore, able to assess the effect that a sub-stantial increase in access to rail transit has on crime for a major city

      shows how they did their paper

    1. Additionally, tunnels, bridges, paths, and certainareas around stations have been identified as negativelyimpacting safety perceptions, necessitating innova-tive design and planning approaches

      negative impact on safety

    2. hepresence of amenities like cafés, restaurants, or kiosksthat facilitate natural surveillance seems to positivelyimpact safety perceptions. Formal surveillance (person-nel in the stations or CCTV cameras) also has a posi-tive impact on the perception of security

      how to create a safe environment

    3. Our results show thatwhile individual characteristics play a significant role intrain passengers’ victimisation, train passengers’ safetyperceptions are more influenced by the station’s environ-ment and surroundings

      environmental surroundings has a higher influenced on crime

    4. If transit environments are criminogenic orperceived as such, our mobility can become limited [60],or we may consider other alternatives for transportation

      This point is important for my argument because it shows that public transportation itself is not always the direct cause of crime. Instead, the surrounding environment and conditions at stations can shape both real crime risks and how safe passengers feel.

    5. This research isunique because it draws from survey data from 47 railwaystations across 28 selected contiguous municipalities

      I can use this to show how they did their survey and research

    1. Local police must take precautionary measures to deal with establishedand potential criminal hot spots. If a station is placed in a pre-existingor potential hot spot, local police must take responsibility for securingand patrolling it and its surroundings to disrupt the opportunity struc-ture for committing crime.

      how to avoid crime hot spots

    2. There are some limitations associated with the current research. Likemany studies of crime, this study includes only criminal incidents re-ported to the police. The dark figure of crime, which describes theamount of crime that occurs but is not reported, could alter the results.

      limitation of research which may change the result

    3. Crime-incident data were obtained from the Ottawa Police Service andcovered a time period from January 2006 to December 2006 – the mostrecent corresponding census data availabl

      Ethos: This is ethos because it shows credibility by citing a reliable source of data. It mentions that the crime data came from the Ottawa Police Service, which is an official authority. Using data from a trusted institution strengthens the author’s argument.

    4. By providing a new means to travel in a short time,offenders may be drawn to commit crime in and near transit stationsas it allows them to exert little effort to seize such opportunities

      Logos: This is logos because it explains a cause-and-effect relationship. It argues that faster and easier travel from transit systems may give offenders more opportunities to commit crime near stations, since they can reach targets quickly and with little effort. This reasoning is based on logic rather than credibility or emotion.

    5. xploration of Ottawa’s five O-Train stations acrosstwo offence types (commercial burglary and theft of vehicle) showedhigh levels of crime clustering in those areas with an O-Train station lo-cated within it or nearby

      logos: This is logos because it presents research findings and evidence.

    6. however, theft of vehi-cle High–High local crime clusters were statistically related to O-Trainstations, and with a high magnitude

      Logos: presents research findings and evidence

    7. Offendersare drawn to commit crime based on a system’s ability to triangulateopportunities and targets with little to no security and/or passengerintervention

      logos: This is logos because it explains a logical reason why crime might happen in public transit systems. The sentence argues that offenders are attracted to places where there are opportunities, targets, and little security or intervention, which is a cause-and-effect explanation rather than an appeal to credibility or emotion.

  2. Feb 2026
    1. A total of 35,092 people died in US automobile accidents in 2015, according to USDOT. That represents a 7.2 percent rise from 2014, the largest since 1966.

      logos

    2. A person reduces his or her chance of being in an accident by more than 90 percent by taking public transit instead of commuting by car. Public transportation is ten times safer per mile, APTA says.

      logos

    1. Finally, to some extent we should not be thinking about these effects from a quantitative perspective

      Claim of value: The author argues that qualitative impacts matter more than numerical data when evaluating fare-free transit

    2. Because drivers no longer had to challenge people attempting to board without paying, the argument goes, they could focus on driving the bus without worry.

      Logos: The author uses logical cause-and-effect reasoning to suggest that eliminating fare enforcement reduces conflict and improves driver safety.

    3. assaults across the system during this period fell by 15.4 percent

      Claim of fact: The author argues that safety improved system-wide, not only because of fare-free buses.