scholarly journals TOD Parking Demand Models for New Urban Areas in China

2020 ◽  
Vol 12 (20) ◽  
pp. 8406
Author(s):  
Zhenyu Mei ◽  
Liang Kong ◽  
Wenchao Zheng
Keyword(s):  
Urban Areas ◽  
Measurement Model ◽  
Travel Cost ◽  
Sustainable Urban Development ◽  
Hangzhou Bay ◽  
Transit Oriented Development ◽  
Demand Model ◽  
Core Element ◽  
Demand Models ◽  
Parking Demand

At present, many new urban areas adopt the transit-oriented development (TOD) exploitation concept to achieve sustainable urban development, accurately predict parking demand under TOD exploitation, determine factors that influence demand, and establish demand models that are essential to the formation of a reasonable traffic structure in the new urban area. The present study aims to establish a scientific and reasonable parking demand model for TOD exploitation in new urban areas. Influencing factors of parking demand in new urban areas under the concept of TOD are determined, and a framework for a parking demand model is constructed. A travel cost measurement model for travel structures at different travel distances is established, considering travel cost as the core element, given that it affects the travel structure at different distances. Finally, taking the Hangzhou Bay New District as an example, the costs of various travel structures under TOD exploitation are calculated, and the reasonable parking demand is calculated. From the perspective of parking management, the concept of TOD is effectively supported.

scholarly journals Development of Parking Demand Model for Private Hospital in Developing Country (Case Study of Denpasar City, Indonesia)

2017 ◽  
Vol 10 (5) ◽  
pp. 52 ◽  
Author(s):  
Putu Alit Suthanaya
Keyword(s):  
Motor Vehicle ◽  
Population Increase ◽  
Annual Growth Rate ◽  
Demand Model ◽  
Private Hospitals ◽  
The Road ◽  
Motor Cycle ◽  
Demand Models ◽  
Class 1 ◽  
Parking Demand

Denpasar City is the capital of Bali Province and the center of activities in Bali, Indonesia. The population continue to increase with the annual growth rate of 2%. As the number of population increase, the number of facilities including health facility also continue to increase. The traffic volume is predominated by private motor vehicle (where 80% is motor cycle) as lack of public transport service available. The trip attraction to hospital increases, however parking spaces provided are very limited. As the results the visitors usually park their vehicles on street around the hospital. This has caused a significant reduction in the road capacity. Therefore, it is required to accurately estimate parking demand both for car and motor cycle. The objectives of this study are to analyze parking characteristics and to develop parking demand models for car and motor cycle. Five private hospitals were considered in this study. Parking data were collected and used to model parking demand based on simple and multiple liner regression models. The results of this study indicated that the parking index for all private hospitals has exceeded 1. The number of beds for room class 1 was found to be the main predictor for parking demand for car. However, the number of hospital’s employees was found to be the best predictor for parking demand for motor cycle. 

scholarly journals An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI

2021 ◽  
Vol 13 (4) ◽  
pp. 766
Author(s):  
Yuanmao Zheng ◽  
Qiang Zhou ◽  
Yuanrong He ◽  
Cuiping Wang ◽  
Xiaorong Wang ◽  
...  
Keyword(s):  
Urban Development ◽  
Urban Areas ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Development Planning ◽  
Urban Land ◽  
Sustainable Urban Development ◽  
Land Use Patterns ◽  
Water Index ◽  
Nighttime Light

Quantitative and accurate urban land information on regional and global scales is urgently required for studying socioeconomic and eco-environmental problems. The spatial distribution of urban land is a significant part of urban development planning, which is vital for optimizing land use patterns and promoting sustainable urban development. Composite nighttime light (NTL) data from the Defense Meteorological Program Operational Line-Scan System (DMSP-OLS) have been proven to be effective for extracting urban land. However, the saturation and blooming within the DMSP-OLS NTL hinder its capacity to provide accurate urban information. This paper proposes an optimized approach that combines NTL with multiple index data to overcome the limitations of extracting urban land based only on NTL data. We combined three sources of data, the DMSP-OLS, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI), to establish a novel approach called the vegetation–water-adjusted NTL urban index (VWANUI), which is used to rapidly extract urban land areas on regional and global scales. The results show that the proposed approach reduces the saturation of DMSP-OLS and essentially eliminates blooming effects. Next, we developed regression models based on the normalized DMSP-OLS, the human settlement index (HSI), the vegetation-adjusted NTL urban index (VANUI), and the VWANUI to analyze and estimate urban land areas. The results show that the VWANUI regression model provides the highest performance of all the models tested. To summarize, the VWANUI reduces saturation and blooming, and improves the accuracy with which urban areas are extracted, thereby providing valuable support and decision-making references for designing sustainable urban development.

Regional Bicycle Network Evaluation and Strategic Planning: A Quantitative Methodological Approach Despite Limited Data Sources for Cycling

2021 ◽  
pp. 036119812110288
Author(s):  
Alex van Dulmen ◽  
Martin Fellendorf
Keyword(s):  
Travel Demand ◽  
Choice Model ◽  
Methodological Approach ◽  
Data Availability ◽  
Data Sources ◽  
Test Case ◽  
Demand Model ◽  
Limited Data ◽  
Demand Models ◽  
Bicycle Infrastructure

In cases where budgets and space are limited, the realization of new bicycle infrastructure is often hard, as an evaluation of the existing network or the benefits of new investments is rarely possible. Travel demand models can offer a tool to support decision makers, but because of limited data availability for cycling, the validity of the demand estimation and trip assignment are often questionable. This paper presents a quantitative method to evaluate a bicycle network and plan strategic improvements, despite limited data sources for cycling. The proposed method is based on a multimodal aggregate travel demand model. Instead of evaluating the effects of network improvements on the modal split as well as link and flow volumes, this method works the other way around. A desired modal share for cycling is set, and the resulting link and flow volumes are the basis for a hypothetical bicycle network that is able to satisfy this demand. The current bicycle network is compared with the hypothetical network, resulting in preferable actions and a ranking based on the importance and potentials to improve the modal share for cycling. Necessary accompanying measures for other transport modes can also be derived using this method. For example, our test case, a city in Austria with 300,000 inhabitants, showed that a shift of short trips in the inner city toward cycling would, without countermeasures, provide capacity for new longer car trips. The proposed method can be applied to existing travel models that already contain a mode choice model.

scholarly journals ANALISIS POLA KONSUMSI DAN MODEL PERMINTAAN IKAN MENURUT KARAKTERISTIK RUMAH TANGGA DI INDONESIA

2018 ◽  
Vol 13 (1) ◽  
pp. 73 ◽  
Author(s):  
Freshty Yulia Arthatiani ◽  
Nunung Kusnadi ◽  
Harianto Harianto
Keyword(s):  
Fish Consumption ◽  
Income Elasticity ◽  
Fish Distribution ◽  
Consumption Patterns ◽  
Demand System ◽  
Coefficient Of Determination ◽  
Almost Ideal Demand System ◽  
Demand Model ◽  
Demand Models ◽  
The Government

ABSTRAKTujuan penelitian ini adalah untuk mendeskripsikan pola konsumsi ikan di Indonesia dan mengidentifikasi faktor-faktor yang mempengaruhi permintaan ikan menurut karakteristik rumah tangga di Indonesia. Penelitian ini menggunakan data SUSENAS yang dilaporkan oleh Badan Pusat Statistik pada bulan Maret 2016. Pola konsumsi ikan dianalisis menggunakan statistik deskriptif dan model permintaan ikan dianalisis dengan menggunakan pendekatan model Linnear Approximation Almost Ideal Demand System (LA/AIDS). Hasil riset menunjukkan bahwa pola konsumsi rumah tangga di Indonesia dikelompokkan menjadi konsumsi ikan air laut segar sebesar 22.10 kg/kapita/tahun, ikan air tawar/payau segar sebesar 16.75 kg/kapita/tahun, udang segar sebesar 9.58 kg/kapita/tahun dan ikan olahan sebesar 4.22 kg/kapita/tahun. Dugaan model permintaan memberikan hasil cukup baik dengan 82.15% dari semua peubah berpengaruh signifikan terhadap fungsi permintaan kelompok ikan dan koefisien determinasi sebesar 27.06%. Nilai elastisitas pendapatan mengindikasikan bahwa seluruh kelompok ikan merupakan barang normal dan ikan olahan cenderung inelastis, sedangkan dari nilai elastisitas harga menunjukkan tanda negatif yang sesuai dengan teori ekonomi. Nilai elastisitas silang antar kelompok ikan menunjukkan hubungan yang bervariasi antar kelompok. Implikasi kebijakan yang dapat disarankan untuk meningkatkan konsumsi ikan segar adalah dengan peningkatan ketersediaan ikan melalui kebijakan peningkatan produksi dan peningkatan efektifitas distribusi ikan. Kebijakan promosi dan edukasi masih diperlukan untuk meningkatkan konsumsi ikan olahan karena sifatnya yang inelastis  terhadap perubahan harga dan pendapatan.Title: Analysis of Fish Consumption Patterns and Fish Demand Model Based on Household’s Characteristics in IndonesiaABSTRACTThis study aims to describe the pattern of fish consumption in Indonesia and to identify factors affecting household’s fish demand in Indonesia as well as estimating the elasticities of income and price. The data analyzed were mainly obtained from the SUSENAS Database-a nation social economy survey  conduct by the Indonesian Bureau of Statistic (BPS- during march 2016. Fish consumption patterns were analyzed using descriptive statistical analysis, while fish demand models were analyzed by Linnear Approximation Almost Ideal Demand System (LA/AIDS). Research shows that household consumption patterns in Indonesia are grouped into consumption of marine fish at 22.10 kg / capita / year, freshwater/brackish fish at 16.75 kg / capita / year, fresh shrimp at 9.58 kg / capita / year and processed fish amounted to 4.22 kg / capita / year. The estimation of the demand model gives quite good results with82,15% of all variables have a significant effect on the demand function of fish groups and the coefficient of determination is 27.06%. The value of income elasticity showed that all fish groups are normal goods and were negatively related to prices. The cross elasticities showed variation relationship between fish groups. With such result, in order for the government to be able to push the fish consumption level furtherwould require an increasing fish availbility through policies to increase production and effectiveness of fish distribution for fresh fish. Meanwhile education and promotion policies are necessary to increase consumption of processed fish because of their inelastic demand for changes in prices and income.

scholarly journals Designing a Transit Oriented Development with a Trackless Tram System—Case Study Bulawayo

2021 ◽  
Vol 4 (2) ◽  
pp. p117
Author(s):  
Vinnet Ndlovu ◽  
Peter Newman
Keyword(s):  
Urban Development ◽  
21St Century ◽  
Land Development ◽  
High Impact ◽  
Sustainable Urban Development ◽  
Transit Oriented Development ◽  
Transit System ◽  
Developing Cities ◽  
Two Phases

The need for a mid-tier transit system and the opportunities created by 21st century transit technologies like Trackless Trams System (TTS) has been analysed in an earlier paper to show TTS could be a leapfrog solution for the future of sustainable urban development in developing cities. This paper outlines how the TTS can be created as a part of Transit Oriented Development (TOD). Informed by literature, this study identified four factors that are important for enabling transition towards TOD. Using three of these factors a framework for assessing and evaluating TOD is formulated. The study then applies the formulated framework to the potential corridors that could potentially enable a transition towards a successful TOD for Bulawayo and enable the TTS to be delivered in a partnership with urban land development. The findings do reveal that most of the station precincts that are closer to the CBD have a higher potential to enable transition to TOD. This could suggest that the TTS could be implemented in two phases, the first phase covering the high impact station precincts.

scholarly journals Research on Protection and Redevelopment Strategies of Industrial Heritage from the Perspective of Urban Innovation

2021 ◽  
Vol 6 (1) ◽  
pp. p154
Author(s):  
Cong-yi Jin
Keyword(s):  
Urban Areas ◽  
18Th Century ◽  
Cultural Value ◽  
Sustainable Urban Development ◽  
Development Economic ◽  
Industrial Transformation ◽  
Industrial Heritage ◽  
Industrial Parks ◽  
Industrial Buildings ◽  
Economic Revitalization

Since the 18th century, industrial production has promoted the transformation of social productive forces and the progress of human civilization, formed a unique factory model and industrial civilization, and became a manifestation of the interaction between human and environment. With the industrial transformation in the middle of the 20th century, many large factories have stopped production and closed down, and their abandoned sites have formed a huge industrial heritage because they retain a large number of industrial buildings and machinery and equipment, which has become the focus of attention in urban environmental management and context protection. Industrial heritage has profound historical accumulation and cultural value. For the protection and redevelopment of industrial heritage, reasonable reconstruction plans should be formulated according to the preservation state and cultural value of the local industrial architectural landscape and the innovative needs of the city in terms of economy, people’s livelihood and environment. Under the current background of sustainable urban development and self-innovation, proper protection and development of industrial heritage is not only the functional transformation of abandoned industrial parks but also the functional repair of old urban areas. It is of positive significance for urban tourism development, economic revitalization, livelihood improvement, cultural protection and resilience design

scholarly journals Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China

2020 ◽  
Vol 12 (3) ◽  
pp. 467 ◽  
Author(s):  
Xiangyue Chen ◽  
Jianli Ding ◽  
Jingzhe Wang ◽  
Xiangyu Ge ◽  
Mayira Raxidin ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Urban Areas ◽  
Lookup Table ◽  
Atmospheric Environment ◽  
Sustainable Urban Development ◽  
Long Distance ◽  
Hysplit Model ◽  
Variation Characteristics ◽  
Fine Resolution

The aerosol optical depth (AOD) represents the light attenuation by aerosols and is an important threat to urban air quality, production activities, human health, and sustainable urban development in arid and semiarid regions. To some extent, the AOD reflects the extent of regional air pollution and is often characterized by significant spatiotemporal dynamics. However, detailed local AOD information is ambiguous at best due to limited monitoring techniques. Currently, the availability of abundant satellite data and constantly updated AOD extraction algorithms offer unprecedented perspectives for high-resolution AOD extraction and long-time series analysis. This study, based on the long-term sequence MOD09A1 data from 2010 to 2018 and lookup table generation, uses the improved deep blue algorithm (DB) to conduct fine-resolution (500 m) AOD (at 550 nm wavelength) remote sensing (RS) estimation on Landsat TM/OLI data from the Urumqi region, analyzes the spatiotemporal AOD variation characteristics in Urumqi and combines gray relational analysis (GRA) and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to analyze AOD influence factors and simulate pollutant propagation trajectories in representative periods. The results demonstrate that the improved DB algorithm has a high inversion accuracy for continuous AOD inversion at a high spatial resolution in urban areas. The spatial AOD distribution in Urumqi declines from urban to suburban areas, and higher AODs are concentrated in cities and along roads. Among these areas, Xinshi District has the highest AOD, and Urumqi County has the lowest AOD. The seasonal AOD variation characteristics are distinct, and the AOD order is spring (0.411) > summer (0.285) > autumn (0.203), with the largest variation in spring. The average AOD in Urumqi is 0.187, and the interannual variation generally shows an upward trend. However, from 2010 to 2018, AOD first declined gradually and then declined significantly. Thereafter, AOD reached its lowest value in 2015 (0.076), followed by a significant AOD increase, reaching a peak in 2016 (0.354). This shows that coal to natural gas (NG) project implementation in Urumqi promoted the improvement of Urumqi’s atmospheric environment. According to GRA, the temperature has the largest impact on the AOD in Urumqi (0.699). Combined with the HYSPLIT model, it was found that the aerosols observed over Urumqi were associated with long-range transport from Central Asia, and these aerosols can affect the entire northern part of China through long-distance transport.

scholarly journals Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows

2019 ◽  
Author(s):  
Crispin H. V. Cooper ◽  
Ian Harvey ◽  
Scott Orford ◽  
Alain J. F. Chiaradia
Keyword(s):  
Network Analysis ◽  
Shortest Path ◽  
City Centre ◽  
Demand Model ◽  
Railway Stations ◽  
Spatial Design ◽  
Demand Models ◽  
Directional Change ◽  
Spatial Network Analysis ◽  
Changes Over Time

AbstractPredicting how changes to the urban environment layout will affect the spatial distribution of pedestrian flows is important for environmental, social and economic sustainability. We present longitudinal evaluation of a model of the effect of urban environmental layout change in a city centre (Cardiff 2007–2010), on pedestrian flows. Our model can be classed as regression based direct demand using Multiple Hybrid Spatial Design Network Analysis (MH-sDNA) assignment, which bridges the gap between direct demand models, facility-based activity estimation and spatial network analysis (which can also be conceived as a pedestrian route assignment based direct demand model). Multiple theoretical flows are computed based on retail floor area: everywhere to shops, shop to shop, railway stations to shops and parking to shops. Route assignment, in contrast to the usual approach of shortest path only, is based on a hybrid of shortest path and least directional change (most direct) with a degree of randomization. The calibration process determines a suitable balance of theoretical flows to best match observed pedestrian flows, using generalized cross-validation to prevent overfit. Validation shows that the model successfully predicts the effect of layout change on flows of up to approx. 8000 pedestrians per hour based on counts spanning a 1 km2 city centre, calibrated on 2007 data and validated to 2010 and 2011. This is the first time, to our knowledge, that a pedestrian flow model with assignment has been evaluated for its ability to forecast the effect of urban layout changes over time.

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