Human-Computer interaction in analyzing neighborhood safety...International Society for Gerontechnology 13th World Conference, October 22-26, 2022, Daegu, South Korea

Purpose Demographics play a crucial role in infrastructure and accessibility dynamics. Citizen complaints commonly used as a low-cost decision support tool alone would be insufficient as voices of certain communities may never be heard. During the pandemic, many investigated accessibility issues to...

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Publicado en:Gerontechnology Vol. 21; pp. 1 - 2
Autores principales: Hwang, E., Park, A. J., Han, G., Song, E.
Formato: abstract proceedings research Journal Article
Publicado: International Society for Gerontechnology Oct2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2022
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      pub: International Society for Gerontechnology
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        atl: Human-Computer interaction in analyzing neighborhood safety...International Society for Gerontechnology 13th World Conference, October 22-26, 2022, Daegu, South Korea
      aug:
        au:
          Hwang, E.
          Park, A. J.
          Han, G.
          Song, E.
        affil: Apparel, Housing and Resource Management, Virginia Tech, USA
      sug:
        subj:
          User-Computer Interface
          Neighborhood Characteristics
          Safety
          Crime
          Ethnic Groups
          Minority Groups
          Congresses and Conferences South Korea
          South Korea
      ab: Purpose Demographics play a crucial role in infrastructure and accessibility dynamics. Citizen complaints commonly used as a low-cost decision support tool alone would be insufficient as voices of certain communities may never be heard. During the pandemic, many investigated accessibility issues to develop policies and guidelines for social distancing, and monitored the courses of community actions. The first step for many communities in developing such action plans was to identify the most vulnerable populations such as ethnic minority seniors affected by victim of crime. As the neighborhood safety is the important factor of social trust and connectedness (Hwang et al., 2021), we focused on the perception on crime among ethnic minority groups and developed a virtual tool to simulate their behavior for emergency preparedness. Method To analyze the perception on crime during the pandemic, we analyzed a crowdsourcing survey collected by Statistics Canada (2022) in the early pandemic. After the data analysis, we built an agent-based model for emergency evacuation behavior simulation. Results and Discussion To compare group differences, we utilized the SPSS analysis of variance (ANOVA) tests and built a regression model. Indigenous and visible minority groups were more likely to perceive an increase in crime and this fear of crime victimization was much higher among them compared to their Caucasian counterparts although the actual crime rates stayed the same or slightly increased during the pandemic. To understand how Asian seniors explored their communities, we also developed an agent-based model to simulate their behavior at decision-making points such as intersections, infrastructure accessibility barriers, landmark tools, and graffiti. Although this study is based on the data from the early pandemic times, it has an important implication how technology may enhance our decision making processes through communication and crime preventive design and facilitate safer infrastructure for everyone.
      pubtype: Academic Journal
      doctype:
        abstract
        proceedings
        research
        Journal Article
      ougenre: Article
    language: English
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