Location quotient-based travel costs for determining accessibility changes

Panagiotopoulos, George; Kaliampakos, Dimitris

doi:10.1016/j.jtrangeo.2021.102951

Cited by 14 publications

(16 citation statements)

References 29 publications

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“…However, owing to the low population density, Cheolma-myeon had the highest LQ (1.72) among the 20 administrative districts of Busan. Although many previous studies have reported the adequacy of the LQ for ensuring a balanced distribution of welfare facilities, (34,35) this approach may have limitations if the spatial weighting approach is not used, as in this study. Therefore, the evaluation of the welfare service priority based on spatial weighting in this study is expected to function as an objective and effective model in the decision-making process of administrative districts regarding welfare services.…”

Section: Discussionmentioning

confidence: 95%

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Um¹

2022

Sensors and Materials

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We explored priority districts for older adult classes using a spatial weighting technique in an age-friendly smart city initiated by the World Health Organization (WHO) and the Korean government. In the past, the target districts for establishing older adult classes for people aged 60 years and above in South Korea were determined on the basis of the experience or intuition of business operators or the empirical knowledge of a few experts. A hotspot map provides a basis for the public to evaluate the area-wide distribution of older adult classes. Exploring priority districts based on geographically weighted regression (GWR) could offer objective and quantitative evidence for the location feasibility of older adult classes rather than the existing text-based data. The priority ranking presented by each administrative district plays a crucial role in arranging older adult classes in consideration of the unique characteristics of an agefriendly smart city, such as the central business district or outskirts of a metropolitan city. Although South Korea has been selected as a case study for this paper, exploring priority districts for older adult classes utilizing a spatial weighting technique is relevant to other countries attempting to introduce wearable healthcare devices connected to a body sensor network (BSN) for people aged 60 years and above in age-friendly smart cities.

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Section: Discussionmentioning

confidence: 95%

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Um¹

2022

Sensors and Materials

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“…Traditionally, the location quotient (LQ) has been used in regional economic development research and practice to compare the economic activity of an industry in a specific area with that in a reference area, for example, the whole nation. Because it measures concentration, it has also been used to identify the spatial distribution patterns of many infrastructures or services, including schools, public facilities, parks, and agglomerations ( 46 ). To prioritize transportation infrastructure development, the LQ was used to determine tourist destination areas by identifying the business sector with the most significant potential contribution to regional budget revenues in the transportation and tourism sector ( 47 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…To prioritize transportation infrastructure development, the LQ was used to determine tourist destination areas by identifying the business sector with the most significant potential contribution to regional budget revenues in the transportation and tourism sector ( 47 ). The concept of the LQ was adopted in transportation equity studies to measure accessibility: Valenzuala Mendoza ( 48 ) used the LQ values of different locations to measure their accessibility, looking in particular at the relationship between demographics and location to identify vulnerable areas; Panagiotopoulos and Kaliampakos ( 46 ) introduced LQ-based travel costs as the travel impedance function in accessibility measurement to capture accessibility changes over time better; Shi et al ( 49 ) applied the LQ method to distinguish the spatial distribution of equity in urban green space in the city of Urumqi in China; and Han et al ( 50 ) established an evaluation index system using the LQ of public transportation infrastructures and services to measure public transportation spatial deprivation. LQ has also been used in mode-based accessibility of land use to represent a location’s economic opportunity level ( 51 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the Market Accessibility of Inland Waterway Ports Using the State of Mississippi as a Case Study

Zhang

Raber

Tripathi

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Inland waterway transportation is an essential part of the waterborne transportation system that supports the Blue Economy of the U.S.A. The utilization of inland waterway ports determines the realization of the full potential of the Blue Economy system. Using data from the state of Mississippi as an example, this paper applied a modified gravity-based accessibility measure to assess the ease with which each Mississippi inland waterway port was able to reach port-related markets in Mississippi and its four neighboring states. The accessibility indices were based on highway-only and highway–railway networks, and they were analyzed to examine the advantage of using an intermodal network as opposed to a single-mode network. In addition, the ease with which each port was able to reach markets both in Mississippi and in several neighboring states was investigated to examine the impact of enlarging the market area on the competitiveness of a port in relation to its accessibility. Understanding the ease with which a port can reach markets compared with other ports can help the port authority or local agency to use its accessibility as a competitive advantage in the local, regional, or national economy and identify improvements or niche markets.

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“…The standardised difference index of accessibility and crowdedness was used to measure the change in opportunities and the reinforcement of inequality. It was calculated as follows [57]:…”

Section: Scenarios and Difference Analysismentioning

confidence: 99%

Enclave-Reinforced Inequality during the COVID-19 Pandemic: Evidence from University Campus Lockdowns in Wuhan, China

Sun

Xiong

et al. 2021

Sustainability

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The COVID-19 pandemic has impacted urban life and created spatial and social inequalities in cities. The impacts of lifting full lockdown restrictions once fast-spreading and community-acquired infection waves were under control are still not fully understood. This study aims to explore spatial inequality reinforced in the intervals between the waves of infection during the COVID-19 pandemic. Enclave-reinforced inequality resulting from enclave-based lockdown policies in Chinese cities was investigated through an analysis of the impacts of university campus enclave closures on the accessibility and crowdedness of urban green spaces. Using a modified two-step floating catchment area (2SFCA) and inversed 2SFCA (i2SFCA) method, accessibility and crowdedness were calculated and compared under two different scenarios. Additionally, the Lorenz curve, Gini coefficient, and Theil index were used to measure and compare intra-city global and local inequalities under each scenario. The results indicate that the lockdown of university campus enclaves decreased the supply of urban green spaces. Campus closures not only exacerbated the unequal distribution of urban green space, but also reduced the inequality of crowdedness in urban parks due to increased crowdedness in parks near the closed enclaves. Moreover, both accessibility and crowdedness worsened when the calculations were weighted for population size and the total supply of green space. Enclave-based lockdown in cities reinforced spatial inequality, and it is highly complex and has multidimensional impacts on urban inequalities and environmental injustice which should be considered by urban planners and decision-makers hoping to create healthy, inclusive, resilient, and sustainable cities in the “new normal” of the COVID-19 pandemic.

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Location quotient-based travel costs for determining accessibility changes

Cited by 14 publications

References 29 publications

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Evaluating the Market Accessibility of Inland Waterway Ports Using the State of Mississippi as a Case Study

Enclave-Reinforced Inequality during the COVID-19 Pandemic: Evidence from University Campus Lockdowns in Wuhan, China

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