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Journal of Regional and City Planning
Published by Institut Teknologi Bandung
ISSN : 25026429     EISSN : 25026429     DOI : https://doi.org/10.5614/jpwk
Core Subject : Humanities, Social, Engineering,
Humanities Civil Engineering, Building, Construction & Architecture Environmental Science Social Sciences Transportation
Journal of Regional and City Planning or JRCP is an open access journal mainly focusing on urban and regional studies and planning in transitional, developing and emerging economies. JRCP covers topics related to the analysis, sciences, development, intervention, and design of communities, cities, and regions including their physical, spatial, technological, economic, social and political environments. The journal is committed to create a multidisciplinary forum in the field by seeking original paper submissions from planners, architects, geographers, economists, sociologists, humanists, political scientists, environmentalists, engineers and other who are interested in the history, transformation and future of cities and regions in transitional, developing and emerging economies.
Arjuna Subject : Ilmu Sosial - Geografi, Perencanaan dan Pengembangan
Articles 1,011 Documents
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Evolutionary Trends in the Landscape of Hausa Open Spaces: Key Enablers of Habe City Planning Mythology Danjuma Abdu Yusuf; Zhu Jie; Maimuna Saleh-Bala; Adamu Yakubu; Sadiq Abdullahi Nashe
Journal of Regional and City Planning Vol. 34 No. 2 (2023)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2023.34.2.4

Abstract

This study took the ‘origin-pattern-function’ of landscape progression as the central theoretical framework and conducted a systematic study on the evolution of open-space landscape patterns in Habe cities, situated between the river Niger and the river Benue in northern Nigeria. This study aimed to explore the embedded landscape cosmology in Hausaland and the origins of its historic mythology. A descriptive research and review approach was adopted, to explain and interpret prevailing practices, existing circumstances, attitudes, reasons, and on-going processes. It unveils the planning of open spaces and houses according to an ancient cosmology that organized towns during the Habe Hausa Dynasty. The open spaces appear to be a sphere of convergent and divergent forces that maintain a delicate balance, whereas the outcrop hills of central Hausaland are domicile places with religious appeal and better defensibility. Further, the physical effects of Islamic influence are visible in the landscape of Hausa cities, such as locating a mosque in the heart of the city as well spatial expressions of the practice of the seclusion of women. The study also revealed that the concept of triple outdoor space in the landscape of Habe cities is identical with that of the traditional Hausa family dwellings enclosed by a compound wall with a gate. This paper presents the key enablers of the Hausa cities’ transformation into commercial, administrative, religious, and agricultural centers. It recommends that in the event of landscape development without certain public guidelines or natural practices, complicated mediation measures should be invoked if disorder is not to prevail. It finally seeks a comprehensive application of local practices and innovative methods with the aim of averting vulnerability of urbanization.
A Consensus Model for Coastal Potential- Conflict Management: The Case of Pangkung Tibah Village, Bali Ni Ketut Agusintadewi; I Gde Putu Bayu Raka Purba; I Gusti Ngurah Anom Rajendra
Journal of Regional and City Planning Vol. 34 No. 3 (2023)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2023.34.3.4

Abstract

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.
Spatial Dynamic Model of Index-Based Disaster Resilience Lalitya Narieswari; Santun R.P. Sitorus; Hartrisari Hardjomidjojo; Eka Intan Kumala Putri
Journal of Regional and City Planning Vol. 33 No. 3 (2022)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2022.33.3.7

Abstract

Measurement and development of resilience are essential in disaster risk reduction programs. Furthermore, efforts are needed to measure resilience baselines to track changes over time and compare areas for monitoring and evaluating resilience development. Therefore, this study identified dimensions and indicators for measuring resilience using a statistical approach and developed an index-based spatial resilience model in a web-GIS environment. This paper presents the spatial distribution of urban resilience to disasters in Semarang City at the sub-district level. Factor analysis showed that 21 selected indicators could represent five dimensions of resilience: social, economic, infrastructure, environmental, and institutional. Furthermore, the model results showed that 88% of the sub-districts were in the moderate resilience class. The spatial distribution of each dimension showed considerable heterogeneity in its coastal and plain areas (city center) as well as better resilience in the social and infrastructure dimensions than in its hilly areas. The hilly areas in the west have relatively better resilience than those in the east. These results can be used as a reference in managing resilience to disasters. The model presents a spatial distribution of resilience based on an index that quickly provides an overview of the conditions and determines priorities for increasing resilience in supporting disaster risk reduction programs.
Influence of Centrality Indices of Urban Railway Stations: Social Network Analysis of Transit Ridership and Travel Distance Seongman Jang; Youngsoo An
Journal of Regional and City Planning Vol. 33 No. 3 (2022)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2022.33.3.3

Abstract

This empirical study calculated the network centralities of urban railway stations in Seoul using Social Network Analysis (SNA) and analyzed the effect of this value on the number of passengers and average travel distance at each station. Network centrality can be calculated using various methodologies. In this study, reach, betweenness, and closeness were used as network centrality indicators. A regression model was used with the characteristics of building use in the station catchment areas as control variables. This methodology was compared to previous studies’ methods for obtaining stations’ topology values. The adjusted R2 values increased by 0.272 and 0.220 for the respective models, explaining the number of passengers and the average travel distance, respectively; the number of significant variables also increased in both models. These results indicate that defining the network centrality obtained through SNA as the station’s topology could improve explanations of the number of passengers and the average travel distance by 27.2% and 22.0%, respectively, compared to previous studies. While this methodology is not new, this study demonstrated the advantages of using SNA to determine the centrality indices of urban railway stations.
Measuring Spatializing Inequalities of Transport Accessibility and Urban Development Patterns: Focus on Megacity Urbanization, Thailand Pawinee Iamtrakul; Apinya Padon; Jirawan Klaylee
Journal of Regional and City Planning Vol. 33 No. 3 (2022)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2022.33.3.4

Abstract

The metropolis of Bangkok is characterized as a primate city because of its role as the capital of Thailand. Its suburbanization spreads to five surrounding provinces. Compared to other provinces in Thailand, it has highly concentrated urban development, without disparity between urban and rural areas. Furthermore, the travel volume in Bangkok and its surrounding areas is the highest in the country, with the majority related to private vehicle usage. This is why Bangkok is ranked as the world’s most congested city. To solve this problem and sustain the urbanization of the capital, it is necessary to understand the urban development patterns in Bangkok and their associated factors in measuring the accessibility of transportation. This research applied factor analysis and cluster analysis to characterize the different district contexts of the Bangkok Metropolitan Region, by selecting the Bangkok Metropolitan Administration (BMA) as the capital city area and Pathum Thani Province as a suburbanized area. Consequently, their transport accessibility could be represented by the level of accessibility in terms of the inequalities in the existing transportation system. Furthermore, by clustering the districts according to their economic and social factors, the causes of these inequalities could be identified by spatializing and geographically highlighting them. These findings should be integrated into the urban planning and development policies to overcome urban development challenges and create a city with more accessible and affordable public transport opportunities.
Physiological and Psychological Effects of Walking in Campus Landscape on Young Adults Prita Indah Pratiwi; Bambang Sulistyantara; Saraswati Sisriany; Samuel Nanda Lazuardi
Journal of Regional and City Planning Vol. 33 No. 3 (2022)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2022.33.3.5

Abstract

Green space has a vital role in the community’s health and well-being. Forest bathing is an effective method of enjoying the forest atmosphere through physical activity or relaxing in a forest landscape. However, until now, no one has declared the benefits of forest therapy in Indonesia. This study clarifies the physiological and psychological effects of walking in a campus landscape. This research was conducted using experimental methods through physical activity survey, self-report questionnaires, Visitor Employed Photography (VEP), and automatic classification based on the image annotation API. The experiment was conducted in a park and an arboretum, and thirty-two young university subjects were tested. The participants walked for fifteen minutes on walking routes and district roads. Their blood pressure was measured before and after walking, and their heart rate was measured continuously. During the walk, the subjects took photographs of striking scenes using the Visitor Employed Photography method. Profile of Mood States (POMS) and State-Trait Anxiety Inventory (STAI) were used to evaluate the psychological responses. Walking in the campus landscape resulted in a lower heart rate, less negative moods, and less anxiety than walking on the district road. Out of 837 photographs, 45% were taken from the Academic Event Plaza, 41.5% from the Arboretum, and the remaining 13.5% from district road, Jalan Raya Dramaga. Two main groups of campus green spaces included man-made landscape consisting of road surface, buildings, plant organs, stairs, and terrestrial plants; and natural landscape consisting of sky, trees, flowers, clouds, and plant community. This study found that walking in campus green space induced physiological and psychological health benefits and prominent landscape elements supported the green campus.
Urbanization, Land Scarcity and Urban Farmers' Mobility: Evidence from Ghana Michael Tuffour
Journal of Regional and City Planning Vol. 34 No. 1 (2023)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2023.34.1.5

Abstract

This study assessed how urban farmers survive land scarcity challenges in the midst of rapid urbanization in a developing country such as Ghana. As land scarcity becomes more pronounced in urban areas, farmers struggle to find a place to farm within the urban space but the numerous opportunities that come with farming within the city still inspires them to find spare lands and open spaces in the city to farm. Therefore, the study examined the factors that influence urban farmers’ mobility with respect to farmland in the midst of intense land scarcity. Reponses from 251 farmers were analyzed with both Tobit and Ordinary Least Squares (OLS). Land situation factors such as land ownership type, land scarcity challenges, and size of land were found to be associated with farmers’ mobility. Farm characteristics such as level of market benefits, intensity of vegetable production, and level of technology were also associated with farmers’ mobility within the city. Personal characteristics such as age, level of education, level of farmer engagement, and marital status also played a role. This implies urban farming sustainability requires conscious government efforts to include urban agriculture in its spatial planning decisions since there are numerous opportunities for farming within the city.
Inferring Socioeconomic Characteristics from Travel Patterns Ali Bakhtiari; Hamid Mirzahossein; Navid Kalantari; Xia Jin
Journal of Regional and City Planning Vol. 34 No. 1 (2023)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2023.34.1.7

Abstract

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.
Morphological and Fractal Characteristics of City Road Networks from Philippine Metropolitan Regions Michelle Cirunay; Rene Batac
Journal of Regional and City Planning Vol. 33 No. 3 (2022)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2022.33.3.6

Abstract

City road networks evolve from the fundamental need to connect various locations and to subdivide available space, especially in large urban areas. No two cities are exactly the same, however, and the differences manifest themselves in the layout of roads across their geographical regions. In this work, the fractal dimensions of urban roads from the three major metropolitan regions of the Philippines were investigated, along with the distributions of dimensionless spatial metrics for characterizing roads and road-bounded blocks. The dimensionless metrics reveal the commonalities, particularly the road and block motifs found in the urban road network tapestry. On the other hand, the fractal dimensions hint at the difference in levels of urbanization of the various cities and municipalities, which are considered subject to geographical constraints. This research adds to the growing literature with a complexity perspective on urban systems by reporting on an archipelagic road network data set. From a practical perspective, this work is deemed to be a useful first step towards an even deeper quantitative analysis of these regional economic centers and its insights may be used for drafting effective policy measures for management and further development.
The Effects of Homeownership on Social Capital Ryan Aldiansyah Akbar; Djoni Hartono; Adiwan Fahlan Aritenang
Journal of Regional and City Planning Vol. 34 No. 1 (2023)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2023.34.1.6

Abstract

Access to homeownership is becoming increasingly limited due to various factors related to a decline in social capital, including sense of stability, security, and community attachment. This study examined the relationship between homeownership and social capital in Indonesia at the household level while addressing endogeneity and heterogeneity issues. This research used panel data from the IFLS-4 and IFLS-5 surveys, employing a fixed-effect regression model with robust standard error and instrumental variables. The study found that homeownership significantly impacts social capital in Indonesia. Furthermore, the effect of homeownership differs between Java and non-Java households and between urban and rural households. The study also identified other significant influencing factors of social capital, such as household size and monthly income. It is concluded that policies aimed at increasing homeownership may positively impact social capital in Indonesia. This research has provided evidence of the heterogeneity of the effect of homeownership on social capital based on geographical location and household characteristics, suggesting that policymakers should develop policies to meet the specific needs of each group to maximize the positive impact of homeownership on social capital.

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