This article aims to examine the existing current studies in urban community resilience related to the pandemic (COVID-19 Pandemic) and to raise a sense of urgency in future research for the model building of urban community resilience during the next pandemic if any. Our review is based on 47 articles considered eligible following inclusion and exclusion criteria after identifying, screening, and prioritizing the title and abstract of 703 records. The insights are organized by three indicators that affect community resilience. The first is the urban community’s vulnerabilities during a particular pandemic. Second, the types of community organizations in dealing with the impact of the pandemic. Third, key dimensions to build community resilience. We draw some intriguing takes for future research that needs to focus on community resilience after the pandemic cases have hit the ground, as a need to draw lessons for the new normal and future challenges and to examine the social learning and transformation process to establish community resilience.
The severe and long crisis that hit Indonesia has affected many facets of the country's life, including migration into and from Indonesia. The paper describes the worsening of economic conditions in Indonesia, which may last until at least the end of 1998. Emigration pressures on both the skilled and unskilled labor force will keep rising. The paper argues that leaving out market forces in the government policies of Indonesia as well as those of the host countries are only likely to lead to illegal migration. The main recommendation of the paper is to have a comprehensive liberalization policy which considers market forces in the larger context of international relations. The issue of out-migration from Indonesia should be seen simultaneously with the entry of international labor, trade and capital to Indonesia.
Human Development Index (HDI) is the approach to measure socio-economics since 1990. Furthermore, integrating socio-economics with the environment brings the development of Sustainability Development Goals (SDGs). The relations between human development and sustainable development are complementary to build a better society. However, by 2020, the growth of HDI in Indonesia starts slowing down during Covid-19 to only 0,03% from the previous year. Central Java is one of the provinces that can still manage the HDI growth higher than Indonesia. This study aims to find the SDG 1 and 8 factors that affect HDI in Central Java with the spatial econometrics method to analyze the spatial dependency in variables. The variables of SDG 1 and 8 in this study are Ln Poverty Line, Ln GDRP per capita, unemployment, and poverty rate. This study shows that the SDG 1 and 8 variables have significant results and implicates spatial effects through Spatial Lag in the HDI of Central Java. The implication of this study is to encourage collaborative action in strengthening the implementation of SDGs and improving the HDI of the regions and cities in Central Java.
Commuter workers' primary mode of transportation in the Jakarta Metropolitan Area is still dominated by private vehicles (73.26 percent). The number of passengers on public transportation is recorded at 26.74 percent. It indicates that public transportation has not fully accommodated commuter activities, even though it has been strategized for an environmentally friendly mode. This paper analyzes the modal shifting of transport from private to public transport and the influencing factors. This research recommends the urgency of urban dwellers to use public transportation. The study used biner logistic regression analysis. The results showed commuter workers in Jakarta Metropolitan Area switched from private vehicles to public transportation. Most commuter workers are more likely to keep using personal vehicles. Factors that affect the willingness not to change modes from private cars to public transportation commuter workers include gender, income, work, Mileage, and travel time.
The growth of Jabodetabek (Jakarta-Bogor-Depok-Tangerang-Bekasi) Metropolitan Areas raises several problems including the occurrence of traffic congestion in various parts of the metropolitan area. This congestion occurs partly because of the increasing number and use of private vehicles, especially by workers who commute mobility within the Jabodetabek metropolitan areas. The pattern of movement from the place of residence to the place of work in the metropolitan area is also a factor causing congestion. The purpose of this study is to find out the extent to which the distance factor measured by geographical distance and the proximity of the area between the place of residence and place of work has an impact on the preference for the use of transportation modes by workers who are commuting. In accordance with the availability of data in the Sakernas 2017 (National Labor Force Survey 2017) Micro Data, the transportation mode preference consists of two choices: public transportation mode or private transportation mode. The Sakernas 2017 micro data analysis was conducted with descriptive analysis (cross tabulation) and inferential analysis (Binary Logit Regression). The analysis shows that the probability of using public transportation tends to be used by workers whose travel distance is longer (above 10 km), in areas that do not directly border between residence and workplace, female workers, young workers, workers with education Junior high school and below,and workers who work in the agricultural sector. Urban managers covering the Greater Jakarta Metropolitan Area should continue to disseminate and promote the importance of using public transportation in travel from place of residence to place of work to reduce traffic congestion and urban air pollution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.