Town Area Research Articles

Identification of Soybean Planting Areas Combining Fused Gaofen-1 Image Data and U-Net Model

It is of great significance to accurately identify soybean planting areas for ensuring agricultural and industrial production. High-resolution satellite remotely sensed imagery has greatly facilitated the effective extraction of soybean planting areas but novel methods are required to further improve the identification accuracy. Two typical planting areas of Linhu Town and Baili Town in Northern Anhui Province, China, were selected to explore the accurate extraction method. The 10 m multispectral and 2 m panchromatic Gaofen-1 (GF-1) image data were first fused to produce training, test, and validation data sets after the min–max standardization and data augmentation. The deep learning U-Net model was then adopted to perform the accurate extraction of soybean planting areas. Two vital influencing factors on the accuracies of the U-Net model, including cropping size and training epoch, were compared and discussed. Specifically, three cropping sizes of 128 × 128, 256 × 256, and 512 × 512 px, and 20, 40, 60, 80, and 100 training epochs were compared to optimally determine the values of the two parameters. To verify the extraction effect of the U-Net model, comparison experiments were also conducted based on the SegNet and DeepLabv3+. The results show that U-Net achieves the highest Accuracy of 92.31% with a Mean Intersection over Union (mIoU) of 81.35%, which is higher than SegNet with an improvement of nearly 4% in Accuracy and 10% on mIoU. In addition, the mIoU has been also improved by 8.89% compared with DeepLabv3+. This study provides an effective and easily operated approach to accurately derive soybean planting areas from satellite images.

Study of Land Cover Change in the City with the Fastest Economic Growth in China (Hefei) from 2000 to 2020 Based on Google Earth Engine Platform

Hefei’s gross domestic product (GDP) growth rate ranks first among all cities in China, and it was the fastest-growing city in China from 2000 to 2020. The high-speed economic development inevitably led to rapid changes in land cover types, e.g., an increment in artificial features (built-up) and decrement in natural features (vegetation). However, (1) many previous studies focus on the land cover change in metropolis or at the global scale, yet few focus on underdeveloped but fast-growing cities; (2) land cover studies mainly focus on global variations, yet seldom on local characteristics. Thus, it is of great significance to monitor the land cover change for the city with the fastest economic growth in China based on the long time-series satellite images from both global and local perspectives. In this study, with support from huge amounts of data (including 719 Landsat TM/ETM+/OLI satellite images, land surface temperature, nighttime satellite images, DEM, multiple land cover products, and various auxiliary data), processing and parallel computing abilities of the GEE platform, classification maps of land cover in Hefei from 2000 to 2020 are produced based on a random forest machine learning method, and the spatio-temporal variations and driving factors are analyzed from both global and local viewpoints. The results show that: (1) the classification accuracy is excellent; the average overall accuracy is 93% and the Kappa coefficient is 0.88; (2) the general spatio-temporal variations in land cover in Hefei from 2000 to 2020 are obvious; the built-up area expanded from 419.72 km2 to 1530.20 km2, with a total growth rate of 264.58%. With the expansion of the built-up area, the vegetation coverage decreased by 16.61% (1652.56 km2); (3) the land surface temperature shows an increment trend in the new town yet a decrement trend in the old town due to the change in vegetation coverage and the decentration of administration centers; further analysis shows that the population and the social economy are two driving factors for land cover changes. It is worth noting that both the area and coverage of vegetation in the old town and water body area in Hefei increased significantly, although the fast urbanization inevitably caused a decrement in vegetation and water area in the whole city, indicating both the high-speed economic development and improvement in green surfaces simultaneously experienced in Hefei from 2000 to 2020.

Effects of dietary diversity on frailty in Chinese older adults: a 3-year cohort study

BackgroundFrailty has emerged as a global health burden with increased population aging. A diverse diet is essential for an adequate and balanced supply of nutrients. However, limited evidence supports the relationship between dietary diversity and frailty. We therefore assessed the associations of dietary diversity with the risk of frailty.MethodsWe used the Chinese Longitudinal Healthy Longevity Survey to analyze a prospective cohort of Chinese older adults. A total of 1948 non-frail older adults were included in the final sample. Participants were categorized into groups with high or low dietary diversity scores (DDSs) using a food frequency questionnaire. A Generalized Estimating Equation were used to estimate risk ratios (RRs) and 95% confidence intervals (CIs) for determining frailty incidence.ResultsAmong 1,948 participants, 381 had frailty with the prevalence of 19.56% during the 3-year follow-up period. Compared with the low DDS group, the high DDS group exhibited a lower risk of frailty (RR, 0.72; 95% CI: 0.57–0.91). Compared with those with a consistently low DDS, the RR of participants with a consistently high DDS for frailty was 0.56 (95% CI: 0.42–0.74). Moreover, meat, beans, fish, nuts, fresh fruits, and fresh vegetables were inversely associated with frailty. In stratified analysis, a consistently high DDS, compared with a consistently low DDS, reduced the risk of frailty for people aged 65-79 years and those living in town and rural areas.ConclusionThis study found a prospective association between dietary diversity and frailty among Chinese older adults. These findings stressed that it is important to improve dietary diversity for older adults to promote healthy ageing, particularly for young older adults and in town and rural areas.

The Evolution of Green Development, Spatial Differentiation Pattern and Its Influencing Factors in Characteristic Chinese Towns

Characteristic Chinese towns are “green ecology” innovation space units based on the background of the ‘Beautiful China Initiative’ (BCI), new urbanization, supply-side structural reform and the implementation of rural revitalization strategies. In this paper, spatial analysis models such as kernel density analysis, spatial autocorrelation analysis, the local correlation index and ArcGIS 10.5 are used to analyze the spatial layout and structural characteristics of the green development evolution of characteristic towns and to explore their spatial differentiation characteristics and laws, internal influencing factors and mechanisms. The analysis of the spatial distribution kernel density shows that regional economic development is an important influencing factor that affects the layout of the characteristic towns. Spatial autocorrelation analysis indicates that the spatial distribution of the characteristic towns does not have random distribution characteristics but is clustered in areas of similar scale. The results show the following: (1) The spatial layout of characteristic towns is generally a cohesive distribution with obvious agglomeration trends and differences, showing the characteristics of “dense in the southeast, sparse in the northwest” and “overall agglomeration, relying on economy, along the coast and along traffic arteries, spreading around cities, and differentiating by scenery”. (2) The high-density core area and sub-high-density area of characteristic towns are situated along the coast and along traffic arteries, are characterized by resource endowments and economic development, and are distributed along urban agglomerations and metropolitan areas. (3) The spatial pattern of green development evolution is organically coupled across three dimensions: location, industry and community. Our research results will help improve the level of green development in characteristic towns; coordinate the spatial layout of new urbanization; improve regional, high-quality, and coordinated development; and realize Chinese-style modernization for common prosperity.

How Do Street-Level Bureaucrats Drive Successful Environmental Policy Implementation?——Comparative Case Studies Based on Different Policy Implementation Models

How street bureaucrats as policy implementers comply with policies to achieve policy goals and maintain grassroots stability is a hot issue of concern in the field of public policy. Based on a two-dimensional analytical framework of goal congruence and interest conformity, we explore the typological differences in policy implementation among grassroots street-level bureaucrats. Through a multi-case analysis of policy implementation in the environmental protection policy area of town A, we find that there are differences in the policy compliance behaviors of local street-level bureaucrats, specifically in the heterogeneous implementation of environmental protection inspectors, the rigid implementation of burn ban policy, the flexible implementation of natural gas policy, and the successful implementation of electricity subsidy policy. Based on the subject chain of “policy maker-policy implementer-target group”, this paper enriches the research perspective of street-level bureaucrats’ policy implementation.

Long-time series ecological environment quality monitoring and cause analysis in the Dianchi Lake Basin, China

As the core area in the transformation of Kunming into an international center city, studying the changes in ecological environment quality and causes of the Dianchi Lake Basin is of great significance for its future optimization of the landscape pattern. This study is based on the Google Earth Engine (GEE) platform to calculate the Remote Sensing Ecological Index (RSEI) of the Dianchi Lake Basin from 1990 to 2020. Then we used Mann-Kendall mutation detection to obtain the time points when significant changes in RSEI occurred. Finally, the Geodetector and MGWR models were combined to analyse the driving factors of ecological quality changes in the Dianchi Lake Basin. The results show that: (1) The ecological environment quality of the Dianchi Lake Basin showed an increasing trend from 1990 to 2020, with the mean value of RSEI increasing from 0.49 to 0.52. (2) According to the results of the mutation test, the years 1990, 1993, 2006, 2015, and 2020 were used as the time points for monitoring the ecological environment quality of the Dianchi Lake Basin over a long time series. The ecological environment quality of the study area in the past 30 years was mainly in an improved state, accounting for 49.43%. The ecological deterioration areas are mainly located in the northeastern part of Xishan District (north of Caohai Lake), the southwestern part of Guandu District, Kunyang Town in Jining District, and the northern areas of Jincheng and Shangsuan Town. (3) The single factor detection results show that elevation and slope have the strongest influence on RSEI. The q-value of average annual temperature has changed the most, from the 6th to the 3rd place. This indicates that the urban heat island effect and the expansion of construction land have had a greater impact on the quality of the local ecological environment in recent years. The multi-factor interaction test shows that the influence of each factor on RSEI is enhanced after the interaction. (4) The MGWR regression results show that the actual scales of action of the factors are inconsistent, with the most significant spatial heterogeneity in the Percentage of cropland area. Based on the above findings, it can provide data to support the future urban planning of the Dianchi Lake Basin. It also provides a new means of integrating Geodetector and MGWR into the study of ecological quality analysis.

Can digital finance promote the happiness of residents?Evidence from China

ABSTRACT Using the data from the China’s Digital Inclusive Finance Index and the China Household Finance Survey, this paper analyzes the relation between digital finance and happiness of residents. We find that digital finance can significantly increase the probability of happiness and the degree of happiness. We also find that digital finance can significantly increase the probability of being very happy, as well as making residents living in town areas and non-risk appetites happier. We expand the evidence for the inclusive role of digital finance.

PROYEKSI KEBUTUHAN AIR DOMESTIK DAN PARIWISATA UNTUK PENGEMBANGAN WILAYAH DI LABUAN BAJO

Clean water is essential for the welfare of life and regional development. As one of the super-priority tourism destinations, Labuan Bajo continues to experience growth and infrastructure development to support tourism development. Regional development in Labuan Bajo, classified as a semi-arid area for tourism needs, can potentially cause a clean water crisis. Tourism often uses clean water, triggering social conflicts with local communities. This study aims to analyze and project domestic clean water needs and tourism water needs in Labuan Bajo. The method used in this research is a quantitative method with data collection instruments by literature studies, field observations, and distributing questionnaires to 261 respondents in the urban area of Labuan Bajo. The results showed that the domestic water demand in Labuan Bajo was 90,23 liters/day/person or greater than the reference standard for the Directorate General of Human Settlement and Water Resources regarding the average domestic water demand in small town areas. The need for clean water for tourism in 2028 is projected to exceed domestic water needs, namely the need for tourism water of 33.928.095 liters/day. Meanwhile, the domestic demand for clean water is only 23.545.368 liters/per day. The high demand for clean water is caused by the urbanization of the population and an increase in the number of tourists. However, the geographical conditions of Labuan Bajo in the form of an archipelago and classified as a semi-arid area can cause a decrease in the carrying capacity, requiring further research related to efforts to manage clean water.

Quantitative evaluation method of species diversity index in beach area of coastal tourism characteristic town

Quantitative evaluation method of species diversity index in beach area of coastal tourism characteristic town

A precarious archive: using photography to enable liveable lives in District Six, Cape Town

This paper proposes that the dissemination of marginal archival resources can be informed by forms of socioeconomic precarity experienced by their creators and primary subjects. To account for these modes of circulation, the author proposes the notion of a precarious archive. The concept is developed with reference to the Kewpie Collection, an official though marginal archival resource containing photographs as well as recordings and transcripts of interviews with the photographs’ collector, Kewpie. The Collection depicts a group of self-described gays and girls living in District Six, a multicultural, inner-city area of apartheid Cape Town, before and during the District’s physical destruction by the Nationalist government. By the early 1980s, the girls were among the sixty thousand residents forcibly removed from the District because they were legally classified ‘Coloured’. The circulation of materials constituting the Kewpie Collection is characterised as precarious in two senses. First, the materials have been available to diverse uses incorporating a range of identificatory claims, often in terms in which Kewpie does not describe herself. Second, Kewpie’s account of the girls’ experiences of precarity has been de-emphasised and her photographs celebrated as evidence of the ability of gay lives to flourish in the lost District. The author instead reads these photographs as one example of the girls’ efforts to imagine new forms of social existence in the absence of sustaining infrastructure and thereby enable liveability.

PRESCRIPTION PATTERN, COST, AND APPROPRIATENESS OF ANTIMICROBIAL USE BY RURAL PRIVATE PRACTITIONERS - A PROSPECTIVE OBSERVATIONAL STUDY

Objectives: Antimicrobial consumption in India is continuously increasing, and so are the chances of the emergence of antimicrobial resistance. This present study intends to identify and assess the appropriateness of antimicrobials prescribed by rural private practitioners and the average cost of antimicrobials per prescription. Methods: This prospective observational study was conducted by the Department of Pharmacology, Government Medical College, Jaulan (Orai). The study included all the prescriptions coming to the chemist shops in the rural town area, having one or more antimicrobials written by private practitioners and assessed for prescription pattern, appropriateness, and cost. Results: Most antimicrobials were prescribed for gastrointestinal infection (33.50%), followed by fever (27.70%). Only in 12.60% of prescriptions, the utilization of antimicrobials in treatment was established (Category I), and in 56.20% of prescriptions rationale for the utilization of antimicrobials was not established (Category IV and V). Conclusions: In the study, we found that the maximum antimicrobials prescribed in private settings were by doctors having only MBBS degrees, and more than half of the prescriptions were Inappropriate. More efforts are required to train our medical graduates in antimicrobial stewardship and Antibiotic Stewardship, Prevention of Infection and Control programs and nursing staff to make these programs successful at the ground level.

Quantify the food delivery package waste generation of Dongguan in grid level using empowerment calculation method

ABSTRACT Food delivery service is under prosperous development in China, and the huge FDPWG (food delivery package waste generation) has brought unignorable environmental burdens. Thus, it’s important to clarify the distribution and composition of FDPW (food delivery package waste). Choosing Dongguan as the study objective, this study developed an empowerment calculation method based on the POI (Point of interest) data, DHM (demographic heat map) data and FDPW data, to clarify the spatial patterns of FDPWG from food delivery merchants to consumers. The FDPWG results were aggregated into 1 km × 1 km grid, town, and functional area levels. Total FDPWG of Dongguan was 4796.68 t per month, composed of 67.61% plastic, 30.88% paper & wood, and 1.51% aluminum. Among plastic materials, HDPE (high density polyethylene), LDPE ((high-density polyethylene), PP (polypropylene), PS (polystyrene), PET (polyethylene glycol terephthalate), and the others took the share of 4.56%, 7.44%, 75.86%, 6.74%, 0.30%, and 5.12%, respectively. It illustrated that FDPWG had a positive correlation with population and GDP (Gross domestic production), and the influences of population and GDP were almost the same. With the level of local urbanization decreased, the plastic proportion had a decreasing trend, and the paper & wood proportion and aluminum proportion had an upward trend oppositely. Policy implications for FDPW management were raised based on the calculation results of FDPWG.

Tourism Object Development Policy in the Old City of Semarang

The tourism potential of the Old Semarang City Area, a historic area, has a diversity of cultural heritage from the Dutch colonial community and buildings that are still standing firmly today, including the GPIB Immanuel Church ( Blenduk Church), Tawang Station, Berok Bridge, Marabunta Building, factory building. This area used to be the place where the Dutch, Chinese and other Europeans lived, whose main activities were traders. The tourism sector is one of the strategic and mainstay sectors of the City of Semarang as a driving force for the improvement of the people's economy which contributes to regional original income. The purpose of this research is to describe and analyze the development policy of tourism objects in the Old Semarang City? (2) Factors that support and inhibit the policy of developing tourism objects in the Old Semarang City area? This study uses a qualitative method. The data analysis technique used is data reduction, data presentation and conclusion. The results of this study are: (1) The implementation of developing tourism in the city of Semarang has been going well but not optimal, this is manifested in increasing the appreciation of traditional arts and culture to improve people's welfare. (2) Supporting factors in the development of the Semarang Old Town area are the existence of a clear legal umbrella, namely Regional Regulation No. 8 of 2003 concerning RTBL of the Old City of Semarang, relationships between organizations that work well with each other and budgetary sources that support implementing the Semarang Old Town revitalization policy. Factors that become obstacles include social problems from the community around the Old Town of Semarang who refuse the revitalization process, as well as private building ownership, where the owner is still reluctant to cooperate with BPK2L to maintain the building. And the Inhibiting Factors in the management of the old City Area, the participation of the community accommodated in the BPK2L (Old City Area Management Agency) cannot be carried out properly because they do not receive government support in carrying out their duties.

Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization.

To promote sustainable agricultural development in small town areas during rapid industrialization, it is important to study the evolution of agricultural non-point source pollution (ANSP) and its influencing factors in small town areas in the context of rapid industrialization. The non-point source inventory method was used to study the characteristics of ANSP evolution in 14 small town areas in Gongyi City from 2002 to 2019. Using the spatial Durbin model and geographical detectors, the factors influencing ANSP in small town areas were analyzed in terms of spatial spillover effects and the spatial stratified heterogeneity. The results showed a zigzagging downward trend of ANSP equivalent emissions over time. Spatially, the equivalent emissions of ANSP showed a distribution pattern of being high in the west and low in the east. There was a significant positive global spatial autocorrelation feature and there was an inverted "U-shaped" Environmental Kuznets Curve relationship between industrialization and ANSP. Affluence, population size, and cropping structure positively contributed to the reduction of ANSP. Population size, land size, and industrialization were highly influential factors affecting the spatial variation of ANSP and the interaction of these factors was bivariate or nonlinearly enhanced. This study provides a feasible reference for policymakers and managers to develop reasonable management measures to mitigate ANSP in small town areas during rapid industrialization.

Air quality assessment in the central Indian State of Chhattisgarh.

Era's one of the utmost scourges is air pollution, owing to not only its impact on climate change but also its impact on public and individual's health due to combined morbidity and mortality. The current study was intended to monitor the air quality data from two districts of Chhattisgarh, namely Raipur and Korba, so that policymakers will be able to take corrective measures to control individual's health-related issues associated with polluted air. All air samples were collected from around Raipur and Korba city of Chhattisgarh and submitted to the Chester LabNet, a laboratory based in 3 Oregon, USA, for analysis. Particulate matter (PM2.5) was determined by using the gravimetry technique and used the X-ray fluorescence 4 technique to detect the presence of heavy metals. PM2.5 levels in all samples in Raipur and Korba ranged from 131.4-653.8 μg/m3 to 150.3-1699.2 μg/m3 which is 2.18-10.88 and 2.5-28.3 times higher than standards prescribed by the Ministry of Environment, Forest and Climate Change (MoEFCC) of 60 μg/m3. Heavy metals such as silica (Si), lead (Pb), nickel (Ni), and manganese (Mn) levels were recorded higher than the standard level reported by the National Ambient Air Quality Standards in locations of Raipur and Korba, Chhattisgarh. Although Chhattisgarh, a state in Central India covered with 45% forest, but it is suffering from low air quality due to developing township and industrial area, which is causing a lot of commotion in the local community. At this time, the government should approach to take immediate action and measures to control air pollution and to reduce the terrible impact on the health of local citizens.

Observations on the development of townships around mega-tourist attraction caused by land use change—the case of Zhangjiajie, China

ABSTRACT The dynamic change in land use can reflect the change in the ecological environment and social economy. Zhangjiajie is the famous mountain tourist city in China having a dual core central structure constituting the urban central area and Wulingyuan Scenic Area (referred to as DCC). This study is based on the land use data of Zhangjiajie in 2000, 2010, and 2020. It analyzed the dynamic change in the pattern of land use, its cause and effects using the method of human-computer interaction for remote sensing image interpretation. The study revealed: (1) the growth of construction land is the maximum, while cultivated land and grassland are mostly transformed into construction and forest land. (2) The reasons why Zhangjiajie with limited cultivated, and idle industrial land was mainly transformed into tourism construction land, especially the townships around DCC. (3) The development of townships around DCC should build industrial belts for coordinated development. This study attempts to analyze the development dilemma and outlet of Zhangjiajie’s DCC on its surrounding 12 townships using the results of land use change aiming to realize the integrated development of DCC and township area, to provide practical experience for green development of township industry around mega-tourist attraction.

Research on the Siting of Rural Public Cultural Space Based on the Path-Clustering Algorithm: A Case Study of Yumin Township, Yushu City, Jilin Province, China

Cultural revitalization is the foundation of rural revitalization. Rural public cultural spaces are important places for rural residents to participate in cultural activities and important carriers for the occurrence, inheritance and development of rural culture. In this study, we propose a siting analysis method for public cultural spaces based on a path-clustering algorithm. Then, Yumin Township in Jilin Province is used as a case study to test the method. Within the township area, public cultural spaces are divided into three types based on the difference in service scope: “single-village decentralized”, “single-village concentration” and “multi-village concentration”. This paper focuses on the analysis of the siting of the “multi-village concentration” type of public cultural spaces using a path-clustering algorithm. First, the path-clustering algorithm is written, and then its parameters, initial clustering centers and number of clusters are analyzed for their effect on the clustering results. Two parameters, within-cluster sum of path distance (WCSPD) and maximum value of the path distance within-cluster (MPDWC), are proposed to evaluate the results of the algorithm. Then, taking Yumin Township of Jilin Province as an example, the villages in the township are clustered with travel distance as the main influencing factor. It is ensured that the shortest path distance from the central village in each cluster to other villages is no greater than the set travel distance. Finally, the public cultural space is constructed in the central village to serve all villages in the cluster. This siting analysis method can output a variety of results that can be used as a reference for decision making in rural public cultural space planning.

Association of rurality with utilization of palliative care and hospice among Medicare beneficiaries who died from pancreatic cancer: A cohort study.

Pancreatic cancer has a 5-year survival of just 10%. Services such as palliative care and hospice are thus crucial in this population, yet their geographic accessibility and utilization remains unknown. We studied the association between rurality of patient residence and the use of palliative care and hospice. Cohort study of continuously enrolled fee-for-service Medicare beneficiaries aged ≥65 diagnosed with incident pancreatic cancer between 04/01/2016-08/31/2018 and who died by 12/31/2018. In this decedent cohort of 31,460 patients, 77% lived in metropolitan areas, 11% in micropolitan areas, 7% in small towns, and 5% in rural areas. Patient demographics were largely similar across rurality; however, the proportion of White, non-Hispanic patients and social deprivation was highest in rural areas and lowest in metropolitan areas. Overall, 33% of patients used any palliative care and 77% received hospice services. After risk adjustment, there were no statistically significant differences in the use of palliative care for patients residing in metropolitan versus micropolitan, small town, or rural areas. Patients in small town (OR = 0.77, 95% CI: 0.69-0.86) and rural areas (OR = 0.75, 95% CI: 0.66-0.85) had lower adjusted odds of receiving hospice care compared to patients in metropolitan areas. The use of palliative care services captured in Medicare was low, representing either underutilization or failure to accurately measure the extent of services used. While the overall level of hospice enrollment was high, patients in rural communities had relatively lower use of hospice services compared to those in metropolitan areas.

The Strategy and Practice of the Reconstruction of Old Residential Area

With the continuous advancement of urbanization, there are a large number of old residential areas in cities and towns. These residential areas have great security risks, and there are widespread problems such as low construction standards, unreasonable structural design, imperfect functions, incomplete supporting facilities, poor living environment and backward public services. In addition to the serious aging of the community, most of these old communities were built at the end of the 20th century, when the builders did not consider the pension problem, the elderly life can not get the basic security, which resulted in the old community that can not meet the needs of the residents of today's society, also can not adapt to the elderly society, need to be transformed. According to the research, it is found that the old residential area has a unique development context and social status, and has strong humanistic value and cultural attributes. Therefore, the reconstruction of the old residential area needs coordination problems from various aspects, and the transformation is more difficult. Based on jung chung of good community three block as an example, the review and analysis of relevant policies and norms, in combination with social investigation, field investigation, such methods as analytical problems encountered in reconstruction of many sided, adhering to the demand orientation, problem orientation, goal oriented and result oriented concept, adhere to the principle of "people-oriented", and discusses the corresponding reform strategy and implementation plan, To achieve the real heart of the people benefit the people of the project.

Cultural Streetscape: Its Value-System, Space and Significance in Oyo Town, Nigeria

Cultural streetscape is a remarkable street scene that embodies the local culture. It helps in defining and defending urban forms, improves the physical, economic, and socio-cultural mechanisms of urban streets, provides street views for buildings, and shares communal activities and identities. Streetscape is a significant and multi-dynamic component of urban design that contributes to the success of cities and towns. However, as a result of constant urbanization and neglect, African streets that were previously sites of different cultural expressions and local beliefs are quickly turning into areas devoid of local values and meaning. More so, the significance of a cultural streetscape that facilitates ingenious street views, solves ecological challenges, and retains the local memory of places is becoming scarce in the literature. Through an in-depth interview, analysis of pertinent academic outputs, and firsthand observation of the core residential areas of Oyo town, this study revealed the value and significance of cultural streetscape in building, shaping, preserving and sustaining local place identity. Proper archiving and infusion of cultural streetscape elements into the old and new streets design are necessary to ensure Yoruba place identity does not completely become void.