Journal of Regional and City Planning
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Writing about Smart Cities in Indonesia: A Bibliometric Analysis
This study analyzed the development, current patterns, and main focuses in the field of smart cities in Indonesia by conducting a bibliometric analysis of 133 academic articles. The study used the Scopus database to collect data and the Bibliometrix R programme to conduct a detailed bibliometric analysis. The findings revealed a yearly rise in publications, suggesting a growing scholarly focus on smart cities. The inquiry explored the relationships between authors, their affiliations, and countries, identifying the most prominent journals and influential publications in this field. Keyword analysis revealed the main topics and subjects, which greatly aided in the strategic planning and execution of smart city projects by identifying gaps, patterns, and potential areas for further investigation. This bibliometric analysis provides detailed insight into the study on smart cities in Indonesia, showing a transition from an initial emphasis on technology and sustainability to a wider range of sustainable development and sociological aspects. The findings emphasize the need for interdisciplinary approaches and increased regional and international partnerships to tackle complex urban challenges. This study promotes a holistic view of the smart city that combines technological advancement with community involvement and urban quality of life
Social Capital and Community Adaptation to the COVID-19 Pandemic (Empirical Evidence: Sambirejo Village, Special Region of Yogyakarta, Indonesia)
With the ever-increasing uncertainty of the impact of humans on the environment, the study of adaptive societal behavior has gained interest in seeking to actively limit disaster-related losses. Despite numerous studies on the role of social capital in Indonesian tourism, the extent to which community social capital adapts to social order changes due to events like the COVID-19 pandemic or earthquake shocks has not been thoroughly studied. This study explored the social capital of people in tourist village areas, specifically in Sambirejo Village, Indonesia, and how it supported collective action during the COVID-19 pandemic to enhance community resilience and in turn succeed as a tourist village. Sambirejo Village has been severely impacted by the COVID-19 pandemic, resulting in a decline in tourism visits and income, highlighting the importance of social capital in fostering resilience. The research utilized a quantitative approach, collecting data through a questionnaire and analyzing descriptive statistical results. The model construct was then built and tested using a Structural Equation Modeling (SEM) analysis. The SEM analysis revealed the crucial role of government and community initiatives in fostering community resilience during the COVID-19 pandemic, emphasizing the need for well-placed policies to help communities increase their social capital and combat the pandemic effectively
From Thousand Canals to Roads: The Transformation of Transportation Mode in Pontianak
Pontianak City was established in 1771 on the the Kapuas River and Landak River riverbanks, the latter being the longest river in Indonesia. The city was once known as the City of a Thousand Canals. However, in its development, people shifted to land transportation modes, leaving the canals in an extinction process. This study aimed to uncover the factors and impacts of the inland water transportation network fading from the Pontianak urban structure. The research used a sequential explanatory design, combining qualitative methods in the form of literature review and quantitative methods using space syntax analysis. By comparing the spatial configuration of the canals and roads in a diachronic approach, the study found proof of the importance of the canals’ existence in the Pontianak urban structure. Water transportation can be the answer to fixing environmental issues, flood hazards, and traffic congestion. Revitalizing the canals can help bring a healthy water environment because the people will change their perception of the canals from sewage routes to transportation routes. Revitalizing the canals can also bring back waterside activity, generate a sense of belonging, and bring back part of the former identity of Pontianak City
Exploring Public Sentiments Using Big Data on Superhub Spatial Development of Nusantara, the New Capital City of Indonesia
Superhub development is crucial for enhancing the economic prowess and sustainability of a region, focusing on bolstering its global competitiveness and amplifying its impact on national and regional growth. In the case of Nusantara, Indonesia’s new capital city, understanding public sentiment towards its development plan is essential. This study employed sentiment analysis, combining a comprehensive dataset of 433,637 tweets from 2020 with public documents and machine-learning tools to accurately gauge public opinion. Six key components of regional development emerged from the analysis, reflecting public discourse on IKN’s planning and execution. Geographically, sentiment across the 33 provinces was evenly distributed, with 63% positive, 24% negative, and 13% neutral sentiments observed in the tweets. However, sentiment fluctuated throughout the year, with a surge in negative sentiment early in 2020 due to concerns over financing risks and economic challenges. Nonetheless, negativity waned as the year progressed, with positive tweets steadily increasing from April to December. These findings offer valuable insights for guiding the development of Nusantara, aiding policymakers in addressing public concerns, and ensuring a more informed and inclusive approach. Such sentiment analysis proves instrumental in shaping the strategic trajectory of the new capital city, fostering sustainable growth and public support
Examining the Impact of Different Street Classification Scenarios on Active Transportation Equity. Insights from Athens, Greece
Transport equity is an essential characteristic of a just city and a concept related to social inclusion. This study examined how different street classification scenarios will affect active transportation equity. Four different scenarios with different planning rationales were developed that reformulate the street classification in a municipality within a metropolitan area, i.e., Kallithea in Athens, Greece. These scenarios give rise to new street categories that reallocate street space favoring active transport users. The evaluation of active transportation equity was carried out by utilizing spatial analysis and welfare economics through the lens of egalitarian and sufficientarian approaches. Based on the results, scenarios that propose new urban centers as well as a readable street classification with traffic calming zones determined by ring roads seem to be more efficient in accommodating vulnerable users in an equitable way. Hence, new planning schemes should rely on active modes, leaving automobiles behind. In general, measuring the impact of street classification scenarios through the lens of equity is critical for improving the quality of life in cities. Additionally, it is noteworthy knowledge for policy makers, planners, and local administrators. Finally, this research may inspire new studies, enriching the scientific debate
Inferring Socioeconomic Characteristics from Travel Patterns
Nowadays, crowd-based big data is widely used in transportation planning. These data sources provide valuable information for model validation; however, they cannot be used to estimate travel demand forecasting models, because these models need a linkage between travel patterns and the socioeconomic characteristics of the people making trips and such a connection is not available due to privacy issues. As such, uncovering the correlation between travel patterns and socioeconomic characteristics is crucial for travel demand modelers to be able to leverage such data in model estimation. Different age, gender, and income groups may have specific travel behavior preferences. To extract and investigate these patterns, we used two data sets: one from the National Household Travel Survey 2009 and the other from the Metropolitan Washington Council of Government Transportation Planning Board 2007-2008 household survey. After preprocessing the data, a range of machine learning algorithms were used to synthesize the socioeconomic characteristics of travelers. After comparison, we found that the CatBoost model outperformed the other models. To further improve the results, a synthetic population and Bayesian updating were used, which considerably improved the estimation of income. This study showed that the conventional inference of travel demand from socioeconomic patterns can be reversed, creating an opportunity to utilize the plethora of crowd-based mobility data
Urban Transformation and Associated Emerging Urban Forms: An Examination of Physical Density from Planning Interventions Perspective
Rapid urbanization frequently results in unanticipated morphological traits that could have multifaceted consequences, especially in the urban physical transformation of cities in developing countries. This study aimed to examine these spatial transformation events and identify the related emergent urban forms in the morphogenesis of Dire Dawa, Ethiopia from the perspective of plan-led and spontaneous developments. The researchers conducted a thorough on-site investigation to gather the necessary physical information and supplemented it with a desk review and focus group discussion. We utilized the Spacematrix software to examine the data and pinpoint the evolving urban structures from different time periods. Overall, the research demonstrated that point-type low-rise development dominated organically developed sites, whereas plan-driven developments were dominated by block-type low-rise and block-type midrise forms. Furthermore, except for outlying areas, there has been a rising trend in the floor space index and spatial coverage patterns over the course of the city’s morphological eras. This may indicate a growing concern for space efficiency and sustainable development. The density of the street network in organically developed portions, on the other hand, was greater than that in formally planned areas. This shows the relevance of considering the concept behind organic development in planning and designing interventions besides the formal western planning philosophy
A Consensus Model for Coastal Potential- Conflict Management: The Case of Pangkung Tibah Village, Bali
The tourism development of the Pangkung Tibah Village coastal area has reportedly caused various changes in the functions of lands. These changes have led to potential conflicts among the involved actors, who have different interests, indicating the necessity for problem-solving efforts. Potential conflicts should be addressed early to prevent them from developing into bigger conflicts. The results of this study may be used as a guideline for developing policies to prevent potential conflicts. The study aimed to: (1) identify the characteristics of the potential conflicts in the Pangkung Tibah Village coastal area, (2) carry out an analytical mapping of the potential conflicts, and (3) formulate a consensus model for the management of the potential conflicts by maximizing the role of the local community. The participatory rural appraisal (PRA) approach was used to identify and conduct an analytical mapping of potential conflicts in the Pangkung Tibah Village coastal area. The findings revealed that due to the vulnerability of this coastal area to damages, interventions should be controlled by direct action that is supported by formal and customary laws. Regarding the identification of the actors, causes, and types of differences in this study, an analytical mapping was conducted, with the potential conflicts being categorized into three levels: ‘mild’, ‘moderate’, and ‘severe’. These levels were determined based on the nature of their relationships with the three categories of sustainable development. In conclusion, a consensus model is proposed as a solution to manage the existing potential conflicts in the coastal area of Pangkung Tibah Village based on the local community and stakeholders’ participation in order to well manage the social, economic, and environmental aspects towards sustainable development
The Hubs of Transformation Dictated by the Innovation Wave: Boston as a Case Study: Exploring How Design is Emerging as an Essential Feature in the Process of Laboratorization of Cities
Cities have become nodes of global networks, standing at the intersection points of the flows of capital, goods, workers, businesses, and travelers, making them spots where innovation, progress and economic development occur. Design emerges as an essential feature in this process, which this manuscript defines as the ‘laboratorization of cities’, a cutting-edge urban development paradigm that emphasizes cities as dynamic laboratories for innovation and experimentation. This study explored the spatial hubs of transformation within the knowledge economy, providing an overview of the current models of innovation spaces before focusing on the innovation district of one of the cities that are riding the innovation wave, namely Boston, USA. Information was gathered from observations, exploratory interviews with key stakeholders, and on-desk data. The study has significant implications, spanning from informing global urban development strategies to impacting regional economic planning and national policies. It provides valuable insights into how design, innovation, and urban development are interconnected, potentially reshaping how cities and regions approach their growth in the current knowledge-driven era. Useful lessons can be drawn from the case study analysis, allowing to define valuable tools for policymakers, a forward-looking perspective on the future of the laboratorization of cities and the evolving role of design, providing a roadmap for cities aiming to position themselves as global innovation hubs