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  • 1
    Online Resource
    Online Resource
    Land value impacts of Airbnb listings on single-family homes in Austin, Texas, USA
    Emerald ; 2022
    In:  International Journal of Housing Markets and Analysis Vol. 15, No. 2 ( 2022-02-25), p. 392-410
    Details
    In: International Journal of Housing Markets and Analysis, Emerald, Vol. 15, No. 2 ( 2022-02-25), p. 392-410
    Abstract: This study aims to explore the impacts of Airbnb listings on land values in the Austin, Texas, USA area, particularly on single-family homes. The goal of the analysis is to shed light on how greatly and in what direction Airbnb is affecting the housing market, with an emphasis on the spatial distribution of its effects. Design/methodology/approach The analysis in this paper is performed using three distinct models on a data set of land parcel data within Travis County: an ordinary least squares regression model, a geographically weighted regression (GWR) aimed at detecting the influence of variables at the census tract level, and a Bayesian approach, which describes spatial and temporal effects on the data. Findings The findings of the analysis indicate that across the years 2013 to 2019, higher numbers of Airbnb listings were associated with lower percentage increases in land value in certain tracts in the northern and eastern parts of the city. Additionally, the results of the Bayesian model indicated that much of the change in land value can be attributed to unobserved factors within census tracts. Originality/value The contribution of this study to the existing literature is its analysis of the spatial and temporal analysis of the effects of Airbnb listings on land value using a GWR and a Bayesian model. Also, as the negative correlation found in the study departs from previous research, this paper may provide policymakers insight into the complex spatial distribution and conflicting effects of Airbnb listings across distinct parts of cities.
    Type of Medium: Online Resource
    ISSN: 1753-8270 , 1753-8270
    URL: Article
    DOI: 10.1108/IJHMA-01-2021-0008
    Language: English
    Publisher: Emerald
    Publication Date: 2022
    detail.hit.zdb_id: 2423661-5
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  • 2
    Online Resource
    Online Resource
    Measuring travel behavior in Houston, Texas with mobility data during the 2020 COVID-19 outbreak
    Informa UK Limited ; 2021
    In:  Transportation Letters Vol. 13, No. 5-6 ( 2021-05-28), p. 461-472
    Details
    In: Transportation Letters, Informa UK Limited, Vol. 13, No. 5-6 ( 2021-05-28), p. 461-472
    Type of Medium: Online Resource
    ISSN: 1942-7867 , 1942-7875
    URL: Article
    DOI: 10.1080/19427867.2021.1901838
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2698099-X
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  • 3
    Online Resource
    Online Resource
    Identifying Hospital Deserts in Texas Before and During the COVID-19 Outbreak
    Elsevier BV ; 2021
    In:  SSRN Electronic Journal
    Details
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    URL: Article
    DOI: 10.2139/ssrn.3800281
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
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  • 4
    Online Resource
    Online Resource
    Exploring the effects of area-level factors on traffic crash frequency by severity using multivariate space-time models
    Elsevier BV ; 2021
    In:  Analytic Methods in Accident Research Vol. 31 ( 2021-09), p. 100163-
    Details
    In: Analytic Methods in Accident Research, Elsevier BV, Vol. 31 ( 2021-09), p. 100163-
    Type of Medium: Online Resource
    ISSN: 2213-6657
    URL: Article
    DOI: 10.1016/j.amar.2021.100163
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2719688-4
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  • 5
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    Understanding the Relationships Among E-scooter Ridership, Transit Desert Index, and Health-Related Factors
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 12 ( 2022-12), p. 728-739
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 12 ( 2022-12), p. 728-739
    Abstract: This study aims to analyze electric scooter (e-scooter) markets in transit deserts and oases in the U.S. The four cities of Austin, Chicago, Portland, and Minneapolis were selected as case studies to determine the prevalence of e-scooter rides as related to locations with limited public transportation options. A t-test was performed to analyze the difference in the number of e-scooter rides between the transit deserts and transit oases. Overall, the arithmetic means of the e-scooter rides between the transit deserts and transit oases were not significantly different in Austin, Chicago, and Portland. The results confirm that the transit index score was among the top three predictors of trips in Austin, Minneapolis, and Portland. In Chicago, health-related characteristics such as crude prevalence of arthritis, diabetes, and obesity were found to be the most important predictors of trips in Chicago.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221097094
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2403378-9
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  • 6
    Online Resource
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    Disparities in the Impacts of the COVID-19 Pandemic on Public Transit Ridership in Austin, Texas, U.S.A
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 4 ( 2023-04), p. 287-297
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 4 ( 2023-04), p. 287-297
    Abstract: The COVID-19 pandemic has disrupted day-to-day lives and infrastructure across the United States, including public transit systems, which saw precipitous declines in ridership beginning in March 2020. This study aimed to explore the disparities in ridership decline across census tracts in Austin, TX and whether demographic and spatial characteristics exist that are related to these declines. Transit ridership data from the Capital Metropolitan Transportation Authority were used in conjunction with American Community Survey data to understand the spatial distribution of ridership changes caused by the pandemic. Using a multivariate clustering analysis as well as geographically weighted regression models, the analysis indicated that areas of the city with older populations as well as higher percentages of Black and Hispanic populations were associated with less severe declines in ridership, whereas areas with higher unemployment saw steeper declines. The percentage of Hispanic residents appeared to affect ridership most clearly in the center of Austin. These findings support and expand on previous research that found that the impacts of the pandemic on transit ridership have emphasized the disparities in transit usage and dependence across the United States and within cities.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981231159906
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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  • 7
    Online Resource
    Online Resource
    Identifying Hospital Deserts in Texas Before and During the COVID-19 Outbreak
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 4 ( 2023-04), p. 813-825
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 4 ( 2023-04), p. 813-825
    Abstract: In this study, we proposed a GIS-based approach to analyzing hospital visitors from January to June 2019 and January to June 2020 with the goal of revealing significant changes in the visitor demographics. The target dates were chosen to observe the effect of the first wave of COVID-19 on the visitor count in hospitals. The results indicated that American Indian and Pacific Islander groups were the only ones that sometimes showed no shift in visitor levels between the studied years. For 19 of the 28 hospitals in Austin, TX, the average distance traveled to those hospitals from home increased in 2020 compared with 2019. A hospital desert index was devised to identify the areas in which the demand for hospitals is greater than the current hospital supply. The hospital desert index considers the travel time, location, bed supply, and population. The cities located along the outskirts of metropolitan regions and rural towns showed more hospital deserts than dense city centers.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221095745
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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  • 8
    Online Resource
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    Durations of Dockless E-Scooter Trips Before and During the COVID-19 Pandemic in Austin, TX: An Analysis Using Hazard-Based Duration Models
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 4 ( 2023-04), p. 629-640
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 4 ( 2023-04), p. 629-640
    Abstract: The pandemic arising from the 2019 coronavirus disease has significantly affected all facets of human life across the world, including economies and transportation systems, thereby changing people’s travel behaviors. This research was aimed at exploring the relationship between socio-economic factors and e-scooter trip durations before and during the pandemic. We developed a hazard-based duration approach and estimated multiple spatial and non-spatial models on the basis of 2019 and 2020 dockless e-scooter data collected from the City of Austin’s Open Data Portal. The results indicated an overall increase in e-scooter trip durations after the pandemic. Moreover, analysis of variables revealed potential changes in users’ behavior before and during the pandemic. In particular, whereas e-scooter trip durations were found to be positively associated with aggregate travel time to work before the pandemic, this trend was reversed during the pandemic. In addition, during the pandemic, e-scooter travel time was positively correlated with the ratio of individuals with bachelor’s degrees or greater to those with associate degrees or lower. However, no specific pattern was observed before the pandemic. Lastly, the results showed the presence of disparities within the study area; therefore, it is vital to extend e-scooter service areas to cover underserved communities.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221138807
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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  • 9
    Online Resource
    Online Resource
    Exploring temporal varying demographic and economic disparities in COVID-19 infections in four U.S. areas: based on OLS, GWR, and random forest models
    Springer Science and Business Media LLC ; 2021
    In:  Computational Urban Science Vol. 1, No. 1 ( 2021-12)
    Details
    In: Computational Urban Science, Springer Science and Business Media LLC, Vol. 1, No. 1 ( 2021-12)
    Abstract: Although studies have previously investigated the spatial factors of COVID-19, most of them were conducted at a low resolution and chose to limit their study areas to high-density urbanized regions. Hence, this study aims to investigate the economic-demographic disparities in COVID-19 infections and their spatial-temporal patterns in areas with different population densities in the United States. In particular, we examined the relationships between demographic and economic factors and COVID-19 density using ordinary least squares, geographically weighted regression analyses, and random forest based on zip code-level data of four regions in the United States. Our results indicated that the demographic and economic disparities are significant. Moreover, several areas with disadvantaged groups were found to be at high risk of COVID19 infection, and their infection risk changed at different pandemic periods. The findings of this study can contribute to the planning of public health services, such as the adoption of smarter and comprehensive policies for allocating economic recovery resources and vaccines during a public health crisis.
    Type of Medium: Online Resource
    ISSN: 2730-6852
    URL: Article
    DOI: 10.1007/s43762-021-00028-5
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 3061590-2
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  • 10
    Online Resource
    Online Resource
    Housing market price movements under tech industry expansion during COVID-19
    Emerald ; 2023
    In:  International Journal of Housing Markets and Analysis Vol. 16, No. 3 ( 2023-03-21), p. 628-641
    Details
    In: International Journal of Housing Markets and Analysis, Emerald, Vol. 16, No. 3 ( 2023-03-21), p. 628-641
    Abstract: This study aims to analyze the impact of technology-based corporation relocation on housing price indices during COVID-19 within the metropolitan areas of Austin, Texas and Seattle/Bellevue, Washington.The corporations under observation were Tesla and Amazon, respectively. The analysis intends to understand economic drivers behind the housing market and the radius of its effect while including fixed and random effects. Design/methodology/approach This study used a difference-in-difference (DID) method to evaluate changes in housing price index near and further away from Tesla’s and Amazon’s new corporate locations. The DID method allows for the capture of unique regional characteristics, as it requires a treatment and control group: housing price index and 5-mile and 10-mile search radii centered from the new corporate location. Findings The results indicated that corporate relocation announcements had a positive effect on housing price index post-pandemic. Specifically, the effect of Tesla’s relocation in Austin on the housing price index was not concentrated near the relocation site, but beyond the 5- and 10-mile radii. For Seattle/Bellevue, the effect of Amazon’s relocation announcement on housing price index was concentrated near the relocation site as well as beyond a 10-mile radius. Interestingly, these findings suggest housing markets incorporate speculation of prospective economic expansion linked with a corporate relocation. Originality/value Previous literature assessed COVID-19 housing market conditions and the economic effects of corporate relocation separately, whereas this study analyzed the housing price effects of corporate relocation during COVID-19. The DID method includes spatial and temporal analyses that allow for the impact of housing price to be observed across specified radii rather than a city-wide impact analysis.
    Type of Medium: Online Resource
    ISSN: 1753-8270 , 1753-8270
    URL: Article
    DOI: 10.1108/IJHMA-02-2022-0022
    Language: English
    Publisher: Emerald
    Publication Date: 2023
    detail.hit.zdb_id: 2423661-5
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