Khulna City Corporation (KCC) has undergone rapid urban development and expansion in recent times. These changes, including the change in land surface temperature (LST) throughout the area, have significant long-term effects. This research analysed the effects of land cover changes on KCC’s LST. By using the maximum likelihood classification method, Landsat imagery investigation identified the land cover chart and determined the LST for the years 1999, 2009 and 2019. It was modelled for the simulation of land cover for the year 2029 by using the classification results and applying the multi-layer perceptron Markov (MLPM) models together. It then also modelled the LST for the year 2029 by using three thematic indices and multiple regression analysis. As a result, the KCC urban area grew by 49% between 1999 and 2019. Simulation results have shown that the KCC could possibly experience a temperature range of more than or equal to 26°C in 2029 if the recent pattern persists. For KCC, the average LST for the urban area is projected to be 27°C in 2029. The scenario shown in this article will assist urban planners in quantifying the impact of various LST change-related issues and, thus, in preparing proper strategic measures.
{"title":"Predicting Potential Change in Land Cover and Its Effect on the Temperature of the Land Surface: A Case Study of Khulna City Corporation, Bangladesh","authors":"Md. Sohel Rana, Subrota Sarkar, Md. Nazmus Sadat, T. Tabassum, Ashraf Uddin Fahim","doi":"10.1177/09754253221120876","DOIUrl":"https://doi.org/10.1177/09754253221120876","url":null,"abstract":"Khulna City Corporation (KCC) has undergone rapid urban development and expansion in recent times. These changes, including the change in land surface temperature (LST) throughout the area, have significant long-term effects. This research analysed the effects of land cover changes on KCC’s LST. By using the maximum likelihood classification method, Landsat imagery investigation identified the land cover chart and determined the LST for the years 1999, 2009 and 2019. It was modelled for the simulation of land cover for the year 2029 by using the classification results and applying the multi-layer perceptron Markov (MLPM) models together. It then also modelled the LST for the year 2029 by using three thematic indices and multiple regression analysis. As a result, the KCC urban area grew by 49% between 1999 and 2019. Simulation results have shown that the KCC could possibly experience a temperature range of more than or equal to 26°C in 2029 if the recent pattern persists. For KCC, the average LST for the urban area is projected to be 27°C in 2029. The scenario shown in this article will assist urban planners in quantifying the impact of various LST change-related issues and, thus, in preparing proper strategic measures.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"247 - 264"},"PeriodicalIF":1.3,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47203149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1177/09754253221122752
Arvaan Kumar, Sriroop Chaudhuri
In Delhi, the capital city of India, air pollution has been a perpetual menace to urban sustainability and public health. The present study uses a mixed-method approach to enumerate to the urban authorities: (a) the state of air pollution in the city; (b) systemic flaws in the current monitoring network; (c) potential means to bolster it; and (d) need of a participatory framework for monitoring. Information about Air Quality Index (AQI), obtained from 36 monitoring stations across Delhi is compared between 2021 (20 April–25 May; 2nd year/phase of SARS-CoV-2 lockdown), and the corresponding time periods in 2020 (1st year/phase of lockdown), and 2019 (business-as-usual) using the Mann–Whitney U Test. AQI during the 2021 lockdown (a) appeared statistically more similar (p < .01) to that of 2019 and (b) exceeded the environmental health safety benchmark for 85% days during the study period (20 April–25 May). However, this only presented a partial glimpse into the air pollution status. It owes to numerous ‘holes’ in the AQI data record (no data and/or insufficient data). Moreover, certain areas in Delhi yet have no monitoring station, or only too few, to yield a ‘representative’ estimate (inadequate spatial coverage). Such shortcomings in the existing monitoring network may deter future research and targeted/informed decision-making for pollution control. To that end, the present research offers a summary view of Low-Cost Air Quality Sensors (LCAQS), to offer the urban sustainability authorities, ‘complementary’ technique to bolster and diversify the existing network. The main advantages and disadvantages of various LCAQS sensor technologies are highlighted while emphasizing on the challenges around various calibration techniques (linear and non-linear). The final section reflects on the integration of science and technology with social dimensions of air quality monitoring and highlights key requirements for (a) community mobilization and (b) stakeholder engagement to forge a participatory systems’ design for LCAQS deployment.
{"title":"Improving Urban Air Quality Monitoring in Delhi, India: Reflections on Low-Cost Air Quality Sensors (LCAQS) and Participatory Engagement","authors":"Arvaan Kumar, Sriroop Chaudhuri","doi":"10.1177/09754253221122752","DOIUrl":"https://doi.org/10.1177/09754253221122752","url":null,"abstract":"In Delhi, the capital city of India, air pollution has been a perpetual menace to urban sustainability and public health. The present study uses a mixed-method approach to enumerate to the urban authorities: (a) the state of air pollution in the city; (b) systemic flaws in the current monitoring network; (c) potential means to bolster it; and (d) need of a participatory framework for monitoring. Information about Air Quality Index (AQI), obtained from 36 monitoring stations across Delhi is compared between 2021 (20 April–25 May; 2nd year/phase of SARS-CoV-2 lockdown), and the corresponding time periods in 2020 (1st year/phase of lockdown), and 2019 (business-as-usual) using the Mann–Whitney U Test. AQI during the 2021 lockdown (a) appeared statistically more similar (p < .01) to that of 2019 and (b) exceeded the environmental health safety benchmark for 85% days during the study period (20 April–25 May). However, this only presented a partial glimpse into the air pollution status. It owes to numerous ‘holes’ in the AQI data record (no data and/or insufficient data). Moreover, certain areas in Delhi yet have no monitoring station, or only too few, to yield a ‘representative’ estimate (inadequate spatial coverage). Such shortcomings in the existing monitoring network may deter future research and targeted/informed decision-making for pollution control. To that end, the present research offers a summary view of Low-Cost Air Quality Sensors (LCAQS), to offer the urban sustainability authorities, ‘complementary’ technique to bolster and diversify the existing network. The main advantages and disadvantages of various LCAQS sensor technologies are highlighted while emphasizing on the challenges around various calibration techniques (linear and non-linear). The final section reflects on the integration of science and technology with social dimensions of air quality monitoring and highlights key requirements for (a) community mobilization and (b) stakeholder engagement to forge a participatory systems’ design for LCAQS deployment.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"265 - 283"},"PeriodicalIF":1.3,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48754040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1177/09754253221120614
R. Jena
Climate change is a significant concern to all of us. It is now becoming a hot topic of discussion among people around the world with social media being a ubiquitous platform for debate. As in other countries, the Government of India has started various initiatives to minimize the causes of climate change. But the success of all such initiatives depends on people’s participation and understanding. Therefore, this study’s aims are two-fold: (a) to capture the perception of Indian people towards different topics of climate change; (b) to mine the sentiment of Indian people using ‘deep learning’ algorithms. Data from various social media platforms have been used for this research. The study showed that people in India have demonstrated concern about topics related to climate change. The study also found that the convolutional neural network (CNN) was the most effective algorithm for sentiment classification. The results can help different stakeholders, including the Government of India, prioritize various actions to mitigate climate change’s causes and effects based on citizens’ sentiment.
{"title":"Is Climate Change a Topic of Concern to Indians? Assessing and Predicting Sentiments Using Deep Learning Techniques","authors":"R. Jena","doi":"10.1177/09754253221120614","DOIUrl":"https://doi.org/10.1177/09754253221120614","url":null,"abstract":"Climate change is a significant concern to all of us. It is now becoming a hot topic of discussion among people around the world with social media being a ubiquitous platform for debate. As in other countries, the Government of India has started various initiatives to minimize the causes of climate change. But the success of all such initiatives depends on people’s participation and understanding. Therefore, this study’s aims are two-fold: (a) to capture the perception of Indian people towards different topics of climate change; (b) to mine the sentiment of Indian people using ‘deep learning’ algorithms. Data from various social media platforms have been used for this research. The study showed that people in India have demonstrated concern about topics related to climate change. The study also found that the convolutional neural network (CNN) was the most effective algorithm for sentiment classification. The results can help different stakeholders, including the Government of India, prioritize various actions to mitigate climate change’s causes and effects based on citizens’ sentiment.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"186 ","pages":"356 - 372"},"PeriodicalIF":1.3,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41272975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigated the effects of the nature of urban development on land surface temperature (LST) and the strengths of different biophysical and anthropogenic factors in explaining the spatial variation of LST at the neighbourhood scale in Dhaka city, Bangladesh. Landsat 5 TM and Landsat 8 Operational Land Imager (OLI) images were used to retrieve LST. The study found that the mean LST in Dhaka increased at a rate of 1.26°C per decade between 1991 and 2014. LST is found to be higher in the built-up areas, particularly in informally developed areas (i.e., slum settlements) and unplanned mixed-use areas. The OLS analysis indicates that along with bio-physical factors population density, building density and slum concentrations also have a significant effect on the spatial variation of LST at neighbourhood scales. The study findings suggest a planned development with the provision of vegetation cover and water bodies can significantly reduce the LST in Dhaka.
{"title":"Effects of the Nature of Urban Development on Land Surface Temperature (LST) at the Neighbourhood Scale in Dhaka City, Bangladesh","authors":"Md. Anwar Hossain, Shahanaj Sultana, Md Rezwan Siddiqui","doi":"10.1177/09754253221121299","DOIUrl":"https://doi.org/10.1177/09754253221121299","url":null,"abstract":"This study investigated the effects of the nature of urban development on land surface temperature (LST) and the strengths of different biophysical and anthropogenic factors in explaining the spatial variation of LST at the neighbourhood scale in Dhaka city, Bangladesh. Landsat 5 TM and Landsat 8 Operational Land Imager (OLI) images were used to retrieve LST. The study found that the mean LST in Dhaka increased at a rate of 1.26°C per decade between 1991 and 2014. LST is found to be higher in the built-up areas, particularly in informally developed areas (i.e., slum settlements) and unplanned mixed-use areas. The OLS analysis indicates that along with bio-physical factors population density, building density and slum concentrations also have a significant effect on the spatial variation of LST at neighbourhood scales. The study findings suggest a planned development with the provision of vegetation cover and water bodies can significantly reduce the LST in Dhaka.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"284 - 303"},"PeriodicalIF":1.3,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49666648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1177/00699667221125902
S. Ghazal, A. Hammad, Kamal Abdulfattah
The growth of cities has been facilitated by a variety of factors. One of these is the land annexation by municipality with the assistance of elite individuals. The purpose of this study is to investigate how the elite influenced Nablus—in central Palestine Municipality’s expansion. The study scanned Nablus Municipality Archives, conducted interviews with the annexed villages’ people and used master plans to trace out the city’s expansion across time from 1960 to 2016 (Jordanian rule, Israeli occupation, and Palestinian Authority rule). The ‘elite’ theory has been used to explain how the expansion process succeeded. The analysis found that elite groups proposed and oversaw Nablus Municipality’s expansion boundaries at various times, delayed master plan’s approval and influenced the distribution plots for popular housing projects.
{"title":"The Role of the Elite in City Expansion: Nablus City in the Palestinian Central Mountains as a Case Study","authors":"S. Ghazal, A. Hammad, Kamal Abdulfattah","doi":"10.1177/00699667221125902","DOIUrl":"https://doi.org/10.1177/00699667221125902","url":null,"abstract":"The growth of cities has been facilitated by a variety of factors. One of these is the land annexation by municipality with the assistance of elite individuals. The purpose of this study is to investigate how the elite influenced Nablus—in central Palestine Municipality’s expansion. The study scanned Nablus Municipality Archives, conducted interviews with the annexed villages’ people and used master plans to trace out the city’s expansion across time from 1960 to 2016 (Jordanian rule, Israeli occupation, and Palestinian Authority rule). The ‘elite’ theory has been used to explain how the expansion process succeeded. The analysis found that elite groups proposed and oversaw Nablus Municipality’s expansion boundaries at various times, delayed master plan’s approval and influenced the distribution plots for popular housing projects.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"391 - 399"},"PeriodicalIF":1.3,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43493385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1177/09754253221083099
M. Adeel, S. M. Mayo
Anis Ur Rahmaan. Evolution of Town Planning in Pakistan: With a Specific Reference to Punjab Province (Xlibris Corporation), 2017, 330 pp, US$23.99 (Paperback). ISBN-10: 1543449018, ISBN-13: 978-1543449013.
{"title":"Book review: Anis Ur Rahmaan. Evolution of Town Planning in Pakistan: With a Specific Reference to Punjab Province","authors":"M. Adeel, S. M. Mayo","doi":"10.1177/09754253221083099","DOIUrl":"https://doi.org/10.1177/09754253221083099","url":null,"abstract":"Anis Ur Rahmaan. Evolution of Town Planning in Pakistan: With a Specific Reference to Punjab Province (Xlibris Corporation), 2017, 330 pp, US$23.99 (Paperback). ISBN-10: 1543449018, ISBN-13: 978-1543449013.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"190 - 192"},"PeriodicalIF":1.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47674612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1177/09754253221092184
Debolina Kundu
The impact of climate change on fishing activities of businesses, households and fishermen in the northern coastal villages of Vietnam have been studied by Nguyen Thi Ngoc, Ngo Xuan Binh and Nguyen Thi Thu Ha, based on data published by the state agencies and case studies. This article assumes that the coastal fishing villages have a long history, making important contributions to economic and social development of the region. In recent years, fishing activities have expanded, but they are also affected by the consequences of climate change. Businesses, households and fishermen have adopted many measures to respond, but their effectiveness is not high. The study suggests that the government should improve the prediction of the location and evolution of rain, storms and other natural calamities. This issue has several articles on climate change and that of financing urban development, both of which are of prime importance in today’s urbanizing Asia. I hope the readers find these articles useful and interesting. I urge the academic community to share their scholarly articles and original research with us to keep the readers abreast with the current discourse on the environment and urbanization in Asian countries.
Nguyen Thi Ngoc、Ngo Xuan Binh和Nguyen Thi Thu Ha根据国家机构公布的数据和案例研究，研究了气候变化对越南北部沿海村庄企业、家庭和渔民捕鱼活动的影响。本文认为沿海渔村有着悠久的历史，对该地区的经济社会发展做出了重要贡献。近年来，捕鱼活动有所扩大，但也受到气候变化后果的影响。企业、家庭和渔民采取了许多应对措施，但效果不高。该研究建议，政府应该改进对降雨、风暴和其他自然灾害的位置和演变的预测。本期有几篇关于气候变化和城市发展融资的文章，这两方面在当今城市化的亚洲至关重要。我希望读者觉得这些文章有用又有趣。我敦促学术界与我们分享他们的学术文章和原创研究，使读者了解亚洲国家环境和城市化的最新论述。
{"title":"Editorial","authors":"Debolina Kundu","doi":"10.1177/09754253221092184","DOIUrl":"https://doi.org/10.1177/09754253221092184","url":null,"abstract":"The impact of climate change on fishing activities of businesses, households and fishermen in the northern coastal villages of Vietnam have been studied by Nguyen Thi Ngoc, Ngo Xuan Binh and Nguyen Thi Thu Ha, based on data published by the state agencies and case studies. This article assumes that the coastal fishing villages have a long history, making important contributions to economic and social development of the region. In recent years, fishing activities have expanded, but they are also affected by the consequences of climate change. Businesses, households and fishermen have adopted many measures to respond, but their effectiveness is not high. The study suggests that the government should improve the prediction of the location and evolution of rain, storms and other natural calamities. This issue has several articles on climate change and that of financing urban development, both of which are of prime importance in today’s urbanizing Asia. I hope the readers find these articles useful and interesting. I urge the academic community to share their scholarly articles and original research with us to keep the readers abreast with the current discourse on the environment and urbanization in Asian countries.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"7 - 10"},"PeriodicalIF":1.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44165957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1177/09754253221083089
Md Zakiur Rahman, F. Atun, Javier Martínez
Rapid urbanization and multiple deprivation are making cities more prone to numerous disasters. This study examines the relationships between disaster risk perception and multiple deprivation in the Rangpur city Corporation area in Bangladesh. Enhanced understanding of this relationship would bring valuable insights for planning and policies, especially pertinent for vulnerable communities in the Global South. Rangpur city is located in a deprived zone of Bangladesh that is highly prone to earthquake and fire hazards, and the population’s low level of risk perception might exasperate their vulnerability to earthquakes and fire. This study’s research methods include an index of multiple deprivation, earthquake and fire risk perception index, geographic information system (GIS)-based mapping, statistical analysis and questionnaire surveys. The statistical methods are correlation analysis, factor analysis, Kaiser–Meyer–Olkin test and cross-table analysis. The results of the study show that there is no statistically significant relationship between disaster risk perception and multiple deprivation; however, cross-table analysis revealed a relationship between risk perception and deprivation. The study identified the hot spots of hazard risks and deprivation in Rangpur city. To the best of our knowledge, this is the first effort to investigate the relationship between disaster risk perception and multiple deprivation.
{"title":"The Relationship Between Disaster Risk Perception and Multiple Deprivation: A Study on Rangpur City, Bangladesh, Using Geospatial and Statistical Approaches","authors":"Md Zakiur Rahman, F. Atun, Javier Martínez","doi":"10.1177/09754253221083089","DOIUrl":"https://doi.org/10.1177/09754253221083089","url":null,"abstract":"Rapid urbanization and multiple deprivation are making cities more prone to numerous disasters. This study examines the relationships between disaster risk perception and multiple deprivation in the Rangpur city Corporation area in Bangladesh. Enhanced understanding of this relationship would bring valuable insights for planning and policies, especially pertinent for vulnerable communities in the Global South. Rangpur city is located in a deprived zone of Bangladesh that is highly prone to earthquake and fire hazards, and the population’s low level of risk perception might exasperate their vulnerability to earthquakes and fire. This study’s research methods include an index of multiple deprivation, earthquake and fire risk perception index, geographic information system (GIS)-based mapping, statistical analysis and questionnaire surveys. The statistical methods are correlation analysis, factor analysis, Kaiser–Meyer–Olkin test and cross-table analysis. The results of the study show that there is no statistically significant relationship between disaster risk perception and multiple deprivation; however, cross-table analysis revealed a relationship between risk perception and deprivation. The study identified the hot spots of hazard risks and deprivation in Rangpur city. To the best of our knowledge, this is the first effort to investigate the relationship between disaster risk perception and multiple deprivation.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"27 - 43"},"PeriodicalIF":1.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46522521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1177/09754253221083198
B. Mendybayev
In many cities worldwide, the Smart City concept is used to solve problems that ensure the city’s development. The range of technological solutions applications varies depending on the needs and capabilities of a particular city or country in general. The proverbial all-encompassing meaning of the Smart City definition is not critical; however, it allows for reasonably unambiguous identification of implementation areas and even standardization. Differences in the conditions and goals of implementation are determined by the characteristics of a particular (unique) city, public needs, or demand from citizens for more modern services, and the peculiarities of state regulation and management. In Kazakhstan, the implementation of individual Smart City initiatives began more than 10 years ago. Comprehensive goal setting was carried out in 2017 as part of the Digital Kazakhstan state programme, and a comparative rating for the cities is being calculated from 2020. The article describes and defines the challenges and limitations associated with the unbalanced development measures of Kazakhstan’s cities based on a comparative analysis of indicators that characterize the level of penetration of Smart City technologies. The article substantiates the need to adjust the national policy and change priorities for successful Smart City projects.
{"title":"Imbalances in Kazakhstan’s Smart Cities Development","authors":"B. Mendybayev","doi":"10.1177/09754253221083198","DOIUrl":"https://doi.org/10.1177/09754253221083198","url":null,"abstract":"In many cities worldwide, the Smart City concept is used to solve problems that ensure the city’s development. The range of technological solutions applications varies depending on the needs and capabilities of a particular city or country in general. The proverbial all-encompassing meaning of the Smart City definition is not critical; however, it allows for reasonably unambiguous identification of implementation areas and even standardization. Differences in the conditions and goals of implementation are determined by the characteristics of a particular (unique) city, public needs, or demand from citizens for more modern services, and the peculiarities of state regulation and management. In Kazakhstan, the implementation of individual Smart City initiatives began more than 10 years ago. Comprehensive goal setting was carried out in 2017 as part of the Digital Kazakhstan state programme, and a comparative rating for the cities is being calculated from 2020. The article describes and defines the challenges and limitations associated with the unbalanced development measures of Kazakhstan’s cities based on a comparative analysis of indicators that characterize the level of penetration of Smart City technologies. The article substantiates the need to adjust the national policy and change priorities for successful Smart City projects.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"144 - 152"},"PeriodicalIF":1.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45647749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1177/09754253221078164
C. C. Minh, Ton That Tu
This article introduces PMOTO, a quick strategic and low-cost appraisal tool to identify a short-list of the most promising transport policies to mitigate the adverse impact of motorcycle usage on the city environment. Hanoi and Ho Chi Minh City, Vietnam, were selected as test cases for PMOTO with the same set of policy scenarios built on policy inputs such as tax, charges, fuel efficiency, emission costs, demand management, road-based travel, parking fees and public transport services. The relative merits of different policy options will be analysed and compared in each city and between the two cities.
{"title":"PMOTO: A Policy Evaluation Model for Moto Usage in Urban Areas","authors":"C. C. Minh, Ton That Tu","doi":"10.1177/09754253221078164","DOIUrl":"https://doi.org/10.1177/09754253221078164","url":null,"abstract":"This article introduces PMOTO, a quick strategic and low-cost appraisal tool to identify a short-list of the most promising transport policies to mitigate the adverse impact of motorcycle usage on the city environment. Hanoi and Ho Chi Minh City, Vietnam, were selected as test cases for PMOTO with the same set of policy scenarios built on policy inputs such as tax, charges, fuel efficiency, emission costs, demand management, road-based travel, parking fees and public transport services. The relative merits of different policy options will be analysed and compared in each city and between the two cities.","PeriodicalId":44690,"journal":{"name":"Environment and Urbanization ASIA","volume":"13 1","pages":"126 - 143"},"PeriodicalIF":1.3,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43289208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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