Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level
The interactive relationship between transportation and land use has become more difficult to understand and predict, due to the economic boom and corresponding fast-paced proliferation of private transportation and land-development activities. A lack of coordination between transportation and land-...
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MDPI AG
2022-05-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/6/797 |
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| author | Yunes Almansoub Ming Zhong Asif Raza Muhammad Safdar Abdelghani Dahou Mohammed A. A. Al-qaness |
| author_facet | Yunes Almansoub Ming Zhong Asif Raza Muhammad Safdar Abdelghani Dahou Mohammed A. A. Al-qaness |
| author_sort | Yunes Almansoub |
| collection | DOAJ |
| description | The interactive relationship between transportation and land use has become more difficult to understand and predict, due to the economic boom and corresponding fast-paced proliferation of private transportation and land-development activities. A lack of coordination between transportation and land-use planning has created an imbalanced provision of transportation infrastructure and land-use patterns; this is indicated by places where a high-density land-development pattern is supported by a low-capacity transport system or vice versa. With this, literature suggests that Mixed Land-Use (MLU) developments have the potential to provide relevant solutions for urban sustainability, smart growth, inclusive public transit use, and efficient land-use. Therefore, this study employed deep neural network models—Long Short-Term Memory (LSTM), and Multilayer Perceptron (MLP)—for forecasting the effect of transportation supply on the MLU pattern at the parcel level in the Jiang’an District, Wuhan, China. The findings revealed a strong relationship between the supply of public transportation and MLU. Moreover, the study results indicated that MLU is widely available in areas with high accessibility, high density, and proximity to the city center. The forecasting results from the MLP and LSTM models showed an average error of 5.55–7.36% and 3.62–4.28% for mixed use, respectively, while most of their 90th percentile errors were less than 13.73% and 10.46% for mixed use, respectively. The proposed models and the findings from this study should be useful for stakeholders and policy makers for more precise forecasting of MLU at the urban level. |
| first_indexed | 2024-03-09T23:18:17Z |
| format | Article |
| id | doaj.art-2514ec1ca0924f9a84f1753d4318a9aa |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T23:18:17Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-2514ec1ca0924f9a84f1753d4318a9aa2023-11-23T17:30:47ZengMDPI AGLand2073-445X2022-05-0111679710.3390/land11060797Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel LevelYunes Almansoub0Ming Zhong1Asif Raza2Muhammad Safdar3Abdelghani Dahou4Mohammed A. A. Al-qaness5Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, ChinaIntelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, ChinaIntelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, ChinaIntelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, ChinaL.D.D.I. Laboratory, Faculty of Science and Technology, University of Ahmed DRAIA, Adrar 01000, AlgeriaState Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaThe interactive relationship between transportation and land use has become more difficult to understand and predict, due to the economic boom and corresponding fast-paced proliferation of private transportation and land-development activities. A lack of coordination between transportation and land-use planning has created an imbalanced provision of transportation infrastructure and land-use patterns; this is indicated by places where a high-density land-development pattern is supported by a low-capacity transport system or vice versa. With this, literature suggests that Mixed Land-Use (MLU) developments have the potential to provide relevant solutions for urban sustainability, smart growth, inclusive public transit use, and efficient land-use. Therefore, this study employed deep neural network models—Long Short-Term Memory (LSTM), and Multilayer Perceptron (MLP)—for forecasting the effect of transportation supply on the MLU pattern at the parcel level in the Jiang’an District, Wuhan, China. The findings revealed a strong relationship between the supply of public transportation and MLU. Moreover, the study results indicated that MLU is widely available in areas with high accessibility, high density, and proximity to the city center. The forecasting results from the MLP and LSTM models showed an average error of 5.55–7.36% and 3.62–4.28% for mixed use, respectively, while most of their 90th percentile errors were less than 13.73% and 10.46% for mixed use, respectively. The proposed models and the findings from this study should be useful for stakeholders and policy makers for more precise forecasting of MLU at the urban level.https://www.mdpi.com/2073-445X/11/6/797mixed land-useaccessibilitytransit-oriented developmentmachine learningmixed land-use indexland parcel |
| spellingShingle | Yunes Almansoub Ming Zhong Asif Raza Muhammad Safdar Abdelghani Dahou Mohammed A. A. Al-qaness Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level Land mixed land-use accessibility transit-oriented development machine learning mixed land-use index land parcel |
| title | Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level |
| title_full | Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level |
| title_fullStr | Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level |
| title_full_unstemmed | Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level |
| title_short | Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level |
| title_sort | exploring the effects of transportation supply on mixed land use at the parcel level |
| topic | mixed land-use accessibility transit-oriented development machine learning mixed land-use index land parcel |
| url | https://www.mdpi.com/2073-445X/11/6/797 |
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